55 Postgresql jobs in the United Kingdom
PostgreSQL Engineer
Cambridge, Eastern
GE Vernova
Posted 4 days ago
Job Viewed
Job Description
**Job Description Summary**
Join us at GE Vernova Grid Software to be part of the team leading the digital transformation of the energy market. As the world's energy sector moves away from fossil fuels toward renewable energy sources, industrial companies are challenged with addressing this transition in transformative ways.
Digitization will be key to making power-generating assets more efficient and the electric grid more secure and resilient. Our Geospatial products play a critical role in this transformation by supporting the design, modelling and maintenance of electric, gas and telecommunication networks. For more information on our strategy, check out: GridOS Overview.
You will be a part of our Grid Software Engineering team, an Agile organization with a flexible working environment, where we are always looking to innovate our products and the processes and technologies we use. Our current focus is on leveraging our long history of Geospatial experience and expertise building client-server products, and evolving those products and tech stacks to modern cloud-based mapping and analytics micro-services.
We are seeking to hire people who are passionate about technology, enjoy solving challenging problems and value the positive impact it makes to our customers. We are looking to grow our current team to meet these customer needs and will use your technical expertise and problem-solving abilities to innovate complex solutions.
As a Postgres Engineer you will work closely with your product development peers in fast-paced Agile development teams enhancing our data products and ensuring our product deployments are scalable, high-performing, and robust.
**Job Description**
In this role, you will:
+ Design, implement, and optimise PostgreSQL database schemas and stored procedures to support versioned data control features.
+ Enhance PostgreSQL deployments with a focus on scalability, fault tolerance, and high availability.
+ Build and maintain automated deployment pipelines for database changes using tools such as Flyway, Liquibase, or custom scripts.
+ Profile and tune PostgreSQL performance at both the query and system level (e.g. indexes, vacuum strategies, connection pooling).
+ Collaborate with software developers to integrate PostgreSQL improvements into application features using Agile methodologies.
+ Implement and monitor replication, partitioning, backup, and recovery strategies for production-grade environments.
+ Contribute to internal standards, documentation, and best practices for PostgreSQL usage across teams.
+ Participate in design discussions and provide expert input into architecture decisions related to data storage, indexing, and versioning strategies.
**Education Qualification**
+ Proven hands-on experience with **PostgreSQL** , including advanced SQL, query optimisation, and internal tuning.
+ Strong knowledge of **PostgreSQL internals** : indexing strategies, planner behaviour, partitioning, vacuum/analyze, WAL, etc.
+ Familiarity with **CI/CD pipelines** and Infrastructure-as-Code (e.g., Jenkins, GitLab CI, Terraform).
+ Experience designing scalable data architectures in **high-volume OLTP environments** .
+ Proficient in scripting/programming languages such as **Python, Bash, or SQL** .
+ Experience in Agile development teams, preferably using Scrum or Kanban.
+ Bachelor's Degree in Computer Science, Engineering, or related STEM discipline.
**Prefered Bonus Skills**
+ Experience implementing **versioned data storage** models or **temporal tables** .
+ Familiarity with **PostGIS** , **logical replication** , or **custom extensions** .
+ Exposure to containerised Postgres environments (e.g., Docker, Kubernetes).
+ Knowledge of monitoring and observability tools such as **pg_stat_statements, Prometheus, Grafana** .
+ Understanding of **data governance** , **auditability** , and **change tracking** in regulated environments.
**Soft Skills**
+ Strong communication and collaboration skills - able to translate database issues to non-specialists.
+ A proactive mindset with a focus on continuous improvement and automation.
+ Able to take ownership of complex technical problems and see them through to resolution.
**Why join our team:**
GE Vernova is proud to be an equal opportunity employer, committed to the continuous improvement and the wellbeing of its employee. We are offering fully customized development and training programs all throughout the year, on top of a LinkedIn Learning subscription and full access to GE Vernova's learning database.
Our wellbeing program will allow you to benefit from multiple events focused on a healthy lifestyle, free apps to support your healthy habits and free employee assistance program, provided by specialized counselors.
Also, we are offering:
+ Strong induction process (a dedicated 1-month ramp-up period).
+ Flexible working hours and a well-defined hybrid working policy.
+ Private Medical Insurance for you (can also be extended for family members).
+ Attractive financial compensations for roles involving external travels and on-site missions.
+ Fully customized development and training programs all throughout the year.
+ Increased number of vacation days, according to your work-experience, encompassed by an annual bonus payout.
+ Annual, performance-based, salary review.
+ Multiple subscriptions, discounts and vouchers available (such as Bookster subscription, corporate discount to fitness services, gift vouchers for Christmas and Easter holiday, daily meal vouchers, additional days off such as 8th of March and 3rd Easter Day and children's benefits, including gifts for special occasions, vouchers, and events) etc.
**Our Culture**
At GE Vernova, we believe in the value of your unique identity, background, and experiences. We are committed to fostering an inclusive culture, where everyone feels empowered to do their best work because they feel accepted, respected, and that they belong. By embracing inclusive teams and perspectives, we are better equipped to build a world that works.
GE Vernova's Global Delivery Center in Bucharest is not only a workplace, but also a community where members are actively involved in different initiatives such as personal development workshops, book clubs, sports competitions, charity events, volunteering on greening and afforestation and dedicated events for employees' children.
**Additional Information**
**Relocation Assistance Provided:** No
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Join us at GE Vernova Grid Software to be part of the team leading the digital transformation of the energy market. As the world's energy sector moves away from fossil fuels toward renewable energy sources, industrial companies are challenged with addressing this transition in transformative ways.
Digitization will be key to making power-generating assets more efficient and the electric grid more secure and resilient. Our Geospatial products play a critical role in this transformation by supporting the design, modelling and maintenance of electric, gas and telecommunication networks. For more information on our strategy, check out: GridOS Overview.
You will be a part of our Grid Software Engineering team, an Agile organization with a flexible working environment, where we are always looking to innovate our products and the processes and technologies we use. Our current focus is on leveraging our long history of Geospatial experience and expertise building client-server products, and evolving those products and tech stacks to modern cloud-based mapping and analytics micro-services.
We are seeking to hire people who are passionate about technology, enjoy solving challenging problems and value the positive impact it makes to our customers. We are looking to grow our current team to meet these customer needs and will use your technical expertise and problem-solving abilities to innovate complex solutions.
As a Postgres Engineer you will work closely with your product development peers in fast-paced Agile development teams enhancing our data products and ensuring our product deployments are scalable, high-performing, and robust.
**Job Description**
In this role, you will:
+ Design, implement, and optimise PostgreSQL database schemas and stored procedures to support versioned data control features.
+ Enhance PostgreSQL deployments with a focus on scalability, fault tolerance, and high availability.
+ Build and maintain automated deployment pipelines for database changes using tools such as Flyway, Liquibase, or custom scripts.
+ Profile and tune PostgreSQL performance at both the query and system level (e.g. indexes, vacuum strategies, connection pooling).
+ Collaborate with software developers to integrate PostgreSQL improvements into application features using Agile methodologies.
+ Implement and monitor replication, partitioning, backup, and recovery strategies for production-grade environments.
+ Contribute to internal standards, documentation, and best practices for PostgreSQL usage across teams.
+ Participate in design discussions and provide expert input into architecture decisions related to data storage, indexing, and versioning strategies.
**Education Qualification**
+ Proven hands-on experience with **PostgreSQL** , including advanced SQL, query optimisation, and internal tuning.
+ Strong knowledge of **PostgreSQL internals** : indexing strategies, planner behaviour, partitioning, vacuum/analyze, WAL, etc.
+ Familiarity with **CI/CD pipelines** and Infrastructure-as-Code (e.g., Jenkins, GitLab CI, Terraform).
+ Experience designing scalable data architectures in **high-volume OLTP environments** .
+ Proficient in scripting/programming languages such as **Python, Bash, or SQL** .
+ Experience in Agile development teams, preferably using Scrum or Kanban.
+ Bachelor's Degree in Computer Science, Engineering, or related STEM discipline.
**Prefered Bonus Skills**
+ Experience implementing **versioned data storage** models or **temporal tables** .
+ Familiarity with **PostGIS** , **logical replication** , or **custom extensions** .
+ Exposure to containerised Postgres environments (e.g., Docker, Kubernetes).
+ Knowledge of monitoring and observability tools such as **pg_stat_statements, Prometheus, Grafana** .
+ Understanding of **data governance** , **auditability** , and **change tracking** in regulated environments.
**Soft Skills**
+ Strong communication and collaboration skills - able to translate database issues to non-specialists.
+ A proactive mindset with a focus on continuous improvement and automation.
+ Able to take ownership of complex technical problems and see them through to resolution.
**Why join our team:**
GE Vernova is proud to be an equal opportunity employer, committed to the continuous improvement and the wellbeing of its employee. We are offering fully customized development and training programs all throughout the year, on top of a LinkedIn Learning subscription and full access to GE Vernova's learning database.
Our wellbeing program will allow you to benefit from multiple events focused on a healthy lifestyle, free apps to support your healthy habits and free employee assistance program, provided by specialized counselors.
Also, we are offering:
+ Strong induction process (a dedicated 1-month ramp-up period).
+ Flexible working hours and a well-defined hybrid working policy.
+ Private Medical Insurance for you (can also be extended for family members).
+ Attractive financial compensations for roles involving external travels and on-site missions.
+ Fully customized development and training programs all throughout the year.
+ Increased number of vacation days, according to your work-experience, encompassed by an annual bonus payout.
+ Annual, performance-based, salary review.
+ Multiple subscriptions, discounts and vouchers available (such as Bookster subscription, corporate discount to fitness services, gift vouchers for Christmas and Easter holiday, daily meal vouchers, additional days off such as 8th of March and 3rd Easter Day and children's benefits, including gifts for special occasions, vouchers, and events) etc.
**Our Culture**
At GE Vernova, we believe in the value of your unique identity, background, and experiences. We are committed to fostering an inclusive culture, where everyone feels empowered to do their best work because they feel accepted, respected, and that they belong. By embracing inclusive teams and perspectives, we are better equipped to build a world that works.
GE Vernova's Global Delivery Center in Bucharest is not only a workplace, but also a community where members are actively involved in different initiatives such as personal development workshops, book clubs, sports competitions, charity events, volunteering on greening and afforestation and dedicated events for employees' children.
**Additional Information**
**Relocation Assistance Provided:** No
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
This advertiser has chosen not to accept applicants from your region.
0
Data Management Analyst
Warrington, North West
SF Technology Solutions
Posted 1 day ago
Job Viewed
Job Description
Data Governance Analyst
£50,000 + benefits
Hybrid – 2 days per week onsite (North West)
We’re working with a well-established organisation in the healthcare sector that is investing in its data capability and building out its data governance approach from the ground up.
This is a newly created role for someone who’s ready to own data governance across the business not from a distance, but by getting hands-on, engaging stakeholders, and helping teams make better decisions with more trustworthy data.
You’ll work closely with the Head of Data & Analytics and colleagues across operations, finance, and supply chain to embed governance into day-to-day processes and define what good looks like.
What you’ll be doing:
- Map out current data usage, identify ownership gaps, and propose practical solutions
- Define and embed data ownership, stewardship roles, and business glossaries
- Support the improvement of data quality through guidance, documentation, and collaboration
- Help teams adopt consistent definitions, fix duplication and inconsistency issues
- Provide clear, accessible governance documentation and be a go-to resource for stakeholders
- Engage widely across the business to build trust, increase adoption, and embed data accountability
What we’re looking for:
- Hands-on experience with data governance, data quality, or data stewardship (e.g. from an analyst, data coordinator, or governance role)
- Strong communication and relationship-building skills – someone confident engaging with stakeholders and helping them understand the value of governance
- A mindset that balances structure with flexibility – this isn’t a policy-heavy role, it’s about getting things done
- Any experience with Power BI, SQL, or Microsoft Purview is helpful, but not essential
Why apply?
- You’ll have ownership of the governance agenda, with backing from senior leadership
- It’s a chance to shape data practices in a business that wants to modernise how it uses information
- Hybrid working – with 2 days a week onsite in the North West
- A practical, hands-on role where your communication skills are just as important as your data knowledge
This advertiser has chosen not to accept applicants from your region.
1
Data Management Intern
Westerham, South East
Bombardier
Posted 28 days ago
Job Viewed
Job Description
Bombardier's Business Aircraft London Service Centre in Biggin Hill is part of an award-winning network and is the flagship of Bombardier's European operation. This Base and Line Maintenance Centre is the fastest-growing Service Centre in Europe and the largest Business Aircraft OEM in the UK. The facility has the capabilities to perform an array of maintenance checks, modifications and upgrades all from this site. Only 14 miles from London, Bombardier's Biggin Hill Service Centre is ideally located to support operators in the UK region and beyond.
**What are your contributions to the team?**
- Collect, clean, and validate maintenance scheduling data from various sources.
- Maintain and update aircraft maintenance schedules in internal systems.
- Track aircraft maintenance milestones and flag potential scheduling conflicts or delays.
- Support the integration of data from maintenance management systems into scheduling tools.
- Maintain accurate records of aircraft downtime, hangar occupancy, and technician availability.
- Participate in daily scheduling meetings and document action items related to data updates.
- Assist in creating dashboards and reports to monitor progress, resource utilization, and turnaround times.
- Contribute to the development and testing of automated tools or scripts to streamline data entry and reporting.
- Prepare compliance reports and audit documentation related to maintenance scheduling.
- Monitor and report on key performance indicators (KPIs) such as turnaround time, schedule adherence, and resource utilization.
- Collaborate with IT or data teams to troubleshoot data access or integrity issues.
- Archive and retrieve historical maintenance and scheduling data for analysis and forecasting.
- Ensure data privacy and security protocols are followed in line with company and regulatory standards.
- Help document data management processes and suggest improvements for efficiency and accuracy
**How to thrive in this role?**
- Able to work on site from Monday - Friday (40 hours per week)
- Strong proficiency in Excel; familiarity with Power BI is a plus.
- Excellent attention to detail and organizational skills.
- Strong analytical and problem-solving abilities.
- Good communication skills and ability to work in a team-oriented environment.
- Interest in aviation or aircraft maintenance is desirable but not essential.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.
Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.
Join us at ideas move people.
**Job** Data Management Intern
**Primary Location** Biggin Hill Service Center
**Organization** Bombardier Services (UK)
**Employee Status**
**Requisition** 8624 Data Management Intern
**What are your contributions to the team?**
- Collect, clean, and validate maintenance scheduling data from various sources.
- Maintain and update aircraft maintenance schedules in internal systems.
- Track aircraft maintenance milestones and flag potential scheduling conflicts or delays.
- Support the integration of data from maintenance management systems into scheduling tools.
- Maintain accurate records of aircraft downtime, hangar occupancy, and technician availability.
- Participate in daily scheduling meetings and document action items related to data updates.
- Assist in creating dashboards and reports to monitor progress, resource utilization, and turnaround times.
- Contribute to the development and testing of automated tools or scripts to streamline data entry and reporting.
- Prepare compliance reports and audit documentation related to maintenance scheduling.
- Monitor and report on key performance indicators (KPIs) such as turnaround time, schedule adherence, and resource utilization.
- Collaborate with IT or data teams to troubleshoot data access or integrity issues.
- Archive and retrieve historical maintenance and scheduling data for analysis and forecasting.
- Ensure data privacy and security protocols are followed in line with company and regulatory standards.
- Help document data management processes and suggest improvements for efficiency and accuracy
**How to thrive in this role?**
- Able to work on site from Monday - Friday (40 hours per week)
- Strong proficiency in Excel; familiarity with Power BI is a plus.
- Excellent attention to detail and organizational skills.
- Strong analytical and problem-solving abilities.
- Good communication skills and ability to work in a team-oriented environment.
- Interest in aviation or aircraft maintenance is desirable but not essential.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.
Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.
Join us at ideas move people.
**Job** Data Management Intern
**Primary Location** Biggin Hill Service Center
**Organization** Bombardier Services (UK)
**Employee Status**
**Requisition** 8624 Data Management Intern
This advertiser has chosen not to accept applicants from your region.
2
Data Management Analyst
RG2 6DA Reading, South East
Stonewater
Posted today
Job Viewed
Job Description
At Stonewater, data isnt just numbers on a screen its the heartbeat of how we drive impact, improve lives, and achieve our strategic goals.
Were looking for a passionate Data Management Analyst to be our subject matter expert in Data Quality, Business Rules and Reference, Master, and Meta Data Management, with the key goal of building trust and confidence in the data we hold.
Working closely with b.
WHJS1_UKTJ
This advertiser has chosen not to accept applicants from your region.
3
Senior Data Management Professional - Data Science - Data Management Lab
London, London
Bloomberg
Posted 4 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, weu2019ll trust you to:**
Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**Youu2019ll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, weu2019ll trust you to:**
Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**Youu2019ll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
4
Senior Data Management Professional - Data Science - Data Management Lab
London, London
Bloomberg
Posted 4 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, weu2019ll trust you to:**
Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**Youu2019ll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, weu2019ll trust you to:**
Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**Youu2019ll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
5
Senior Data Management Professional - Data Science - Data Management Lab
London, London
Bloomberg
Posted 4 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Postgresql Jobs in United Kingdom !
6
Resource Data Management Analyst
London, London
MUFG
Posted 4 days ago
Job Viewed
Job Description
**Do you want your voice heard and your actions to count?**
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the worldu2019s leading financial groups. Across the globe, weu2019re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the worldu2019s most trusted financial group, itu2019s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
**Overview of Resource Management Team:**
The goal of the team is to provide a u201cone stop solutionu201d for the supply and demand of people across Technology. Ensuring all resource management processes are robust, and deliver the necessary outcomes for Technology. We achieve this by ensuring that resource data is accurate, complete and available on a timely basis through various reporting deliverables. The team work closely with HR, Finance, Project Governance, Project Delivery, Procurement and Technology leads to inform and educate, as well as executing changes directly. The team is divided into two main functions, the role in question fits within the Technology Resource Data Management sub-team.
**Resource Data Management** u200b
Manage cleaning resource data in workday. u200b
Run training via the new starter induction and creation of org charts on Kizuna. u200b
Creation of headcount reporting data monthly / quarterly / annually.u200b
**Technology Recruitment** u200b
Process all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff. u200b
Creation of recruitment and rate reporting.u200b
u200b
**The primary purpose of the Resource Data Management Analyst is to:**
Own and clean the resource data in workday which is the golden source. The team receives updates on resource data from multiple sources for example line managers and business supports. From that point onwards the teams is to educate others to follow the process, rather than our team completing the actions.
Own, produce and publish the headcount data per month, per quarter and annual with the use of excel and power BI.
**Key Responsibilities:**
Lead daily team stand up via teams.
Run daily checks on resource data changes/updates in workday. Method for this is a combination of excel macros and power queries
Creation of weekly reporting to HR to highlight changes. Method for this is excel macros.
Creation of weekly reporting to line managers to highlight contingent worker end dates within the next 10 weeks. Method for this is excel macros.
Co-ordinating with the line managers, HR, procurement and access management regarding JML process.
Creation of monthly headcount reporting. Method for this is a combination of excel and power BI.
Ensure resource cost data is accurate for reporting into Finance to calculate budgets.
Creation of office attendance for contingent workers. Method for this is excel macros.
Run the Technology new starter induction, which occurs twice a month.
Creation of the Technology organisation chart. Method for this is via Visio.
Maintain and enhance good working relationships with the teams stakeholders.
**Skills and Experience:**
Technical Capability
Strong excel skills. Be able to build and run macros and power queries.
Strong power BI skills. Be able to build and update reporting in power BI.
Strong visio skills. Be able to create workflows and org charts.
Strong numerical skills. To aid day-to-day activities.
Degree level educated. Although equivalent work experience, or apprentice level experience also relevant.
We are open to considering flexible working requests in line with organisational requirements.
MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
At MUFG, our colleagues are our greatest assets. Our Culture Principles provide a roadmap for how each of our colleagues must think and act to become more client-obsessed, inclusive and innovative. They reflect who we are, who we want to be and what we expect from one another. We are excited to see you take the next step in exploring a career with us and encourage you to spend more time reviewing them!
**Our Culture Principles**
Client Centric
People Focused
Listen Up. Speak Up.
Innovate & Simplify
Own & Execute
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the worldu2019s leading financial groups. Across the globe, weu2019re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the worldu2019s most trusted financial group, itu2019s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
**Overview of Resource Management Team:**
The goal of the team is to provide a u201cone stop solutionu201d for the supply and demand of people across Technology. Ensuring all resource management processes are robust, and deliver the necessary outcomes for Technology. We achieve this by ensuring that resource data is accurate, complete and available on a timely basis through various reporting deliverables. The team work closely with HR, Finance, Project Governance, Project Delivery, Procurement and Technology leads to inform and educate, as well as executing changes directly. The team is divided into two main functions, the role in question fits within the Technology Resource Data Management sub-team.
**Resource Data Management** u200b
Manage cleaning resource data in workday. u200b
Run training via the new starter induction and creation of org charts on Kizuna. u200b
Creation of headcount reporting data monthly / quarterly / annually.u200b
**Technology Recruitment** u200b
Process all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff. u200b
Creation of recruitment and rate reporting.u200b
u200b
**The primary purpose of the Resource Data Management Analyst is to:**
Own and clean the resource data in workday which is the golden source. The team receives updates on resource data from multiple sources for example line managers and business supports. From that point onwards the teams is to educate others to follow the process, rather than our team completing the actions.
Own, produce and publish the headcount data per month, per quarter and annual with the use of excel and power BI.
**Key Responsibilities:**
Lead daily team stand up via teams.
Run daily checks on resource data changes/updates in workday. Method for this is a combination of excel macros and power queries
Creation of weekly reporting to HR to highlight changes. Method for this is excel macros.
Creation of weekly reporting to line managers to highlight contingent worker end dates within the next 10 weeks. Method for this is excel macros.
Co-ordinating with the line managers, HR, procurement and access management regarding JML process.
Creation of monthly headcount reporting. Method for this is a combination of excel and power BI.
Ensure resource cost data is accurate for reporting into Finance to calculate budgets.
Creation of office attendance for contingent workers. Method for this is excel macros.
Run the Technology new starter induction, which occurs twice a month.
Creation of the Technology organisation chart. Method for this is via Visio.
Maintain and enhance good working relationships with the teams stakeholders.
**Skills and Experience:**
Technical Capability
Strong excel skills. Be able to build and run macros and power queries.
Strong power BI skills. Be able to build and update reporting in power BI.
Strong visio skills. Be able to create workflows and org charts.
Strong numerical skills. To aid day-to-day activities.
Degree level educated. Although equivalent work experience, or apprentice level experience also relevant.
We are open to considering flexible working requests in line with organisational requirements.
MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
At MUFG, our colleagues are our greatest assets. Our Culture Principles provide a roadmap for how each of our colleagues must think and act to become more client-obsessed, inclusive and innovative. They reflect who we are, who we want to be and what we expect from one another. We are excited to see you take the next step in exploring a career with us and encourage you to spend more time reviewing them!
**Our Culture Principles**
Client Centric
People Focused
Listen Up. Speak Up.
Innovate & Simplify
Own & Execute
This advertiser has chosen not to accept applicants from your region.
7
Resource Data Management Analyst
London, London
MUFG
Posted 4 days ago
Job Viewed
Job Description
**Do you want your voice heard and your actions to count?**
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the worldu2019s leading financial groups. Across the globe, weu2019re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the worldu2019s most trusted financial group, itu2019s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
**Overview of Resource Management Team:**
The goal of the team is to provide a u201cone stop solutionu201d for the supply and demand of people across Technology. Ensuring all resource management processes are robust, and deliver the necessary outcomes for Technology. We achieve this by ensuring that resource data is accurate, complete and available on a timely basis through various reporting deliverables. The team work closely with HR, Finance, Project Governance, Project Delivery, Procurement and Technology leads to inform and educate, as well as executing changes directly. The team is divided into two main functions, the role in question fits within the Technology Resource Data Management sub-team.
**Resource Data Management** u200b
Manage cleaning resource data in workday. u200b
Run training via the new starter induction and creation of org charts on Kizuna. u200b
Creation of headcount reporting data monthly / quarterly / annually.u200b
**Technology Recruitment** u200b
Process all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff. u200b
Creation of recruitment and rate reporting.u200b
u200b
**The primary purpose of the Resource Data Management Analyst is to:**
Own and clean the resource data in workday which is the golden source. The team receives updates on resource data from multiple sources for example line managers and business supports. From that point onwards the teams is to educate others to follow the process, rather than our team completing the actions.
Own, produce and publish the headcount data per month, per quarter and annual with the use of excel and power BI.
**Key Responsibilities:**
Lead daily team stand up via teams.
Run daily checks on resource data changes/updates in workday. Method for this is a combination of excel macros and power queries
Creation of weekly reporting to HR to highlight changes. Method for this is excel macros.
Creation of weekly reporting to line managers to highlight contingent worker end dates within the next 10 weeks. Method for this is excel macros.
Co-ordinating with the line managers, HR, procurement and access management regarding JML process.
Creation of monthly headcount reporting. Method for this is a combination of excel and power BI.
Ensure resource cost data is accurate for reporting into Finance to calculate budgets.
Creation of office attendance for contingent workers. Method for this is excel macros.
Run the Technology new starter induction, which occurs twice a month.
Creation of the Technology organisation chart. Method for this is via Visio.
Maintain and enhance good working relationships with the teams stakeholders.
**Skills and Experience:**
Technical Capability
Strong excel skills. Be able to build and run macros and power queries.
Strong power BI skills. Be able to build and update reporting in power BI.
Strong visio skills. Be able to create workflows and org charts.
Strong numerical skills. To aid day-to-day activities.
Degree level educated. Although equivalent work experience, or apprentice level experience also relevant.
We are open to considering flexible working requests in line with organisational requirements.
MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
At MUFG, our colleagues are our greatest assets. Our Culture Principles provide a roadmap for how each of our colleagues must think and act to become more client-obsessed, inclusive and innovative. They reflect who we are, who we want to be and what we expect from one another. We are excited to see you take the next step in exploring a career with us and encourage you to spend more time reviewing them!
**Our Culture Principles**
Client Centric
People Focused
Listen Up. Speak Up.
Innovate & Simplify
Own & Execute
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the worldu2019s leading financial groups. Across the globe, weu2019re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the worldu2019s most trusted financial group, itu2019s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
**Overview of Resource Management Team:**
The goal of the team is to provide a u201cone stop solutionu201d for the supply and demand of people across Technology. Ensuring all resource management processes are robust, and deliver the necessary outcomes for Technology. We achieve this by ensuring that resource data is accurate, complete and available on a timely basis through various reporting deliverables. The team work closely with HR, Finance, Project Governance, Project Delivery, Procurement and Technology leads to inform and educate, as well as executing changes directly. The team is divided into two main functions, the role in question fits within the Technology Resource Data Management sub-team.
**Resource Data Management** u200b
Manage cleaning resource data in workday. u200b
Run training via the new starter induction and creation of org charts on Kizuna. u200b
Creation of headcount reporting data monthly / quarterly / annually.u200b
**Technology Recruitment** u200b
Process all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff. u200b
Creation of recruitment and rate reporting.u200b
u200b
**The primary purpose of the Resource Data Management Analyst is to:**
Own and clean the resource data in workday which is the golden source. The team receives updates on resource data from multiple sources for example line managers and business supports. From that point onwards the teams is to educate others to follow the process, rather than our team completing the actions.
Own, produce and publish the headcount data per month, per quarter and annual with the use of excel and power BI.
**Key Responsibilities:**
Lead daily team stand up via teams.
Run daily checks on resource data changes/updates in workday. Method for this is a combination of excel macros and power queries
Creation of weekly reporting to HR to highlight changes. Method for this is excel macros.
Creation of weekly reporting to line managers to highlight contingent worker end dates within the next 10 weeks. Method for this is excel macros.
Co-ordinating with the line managers, HR, procurement and access management regarding JML process.
Creation of monthly headcount reporting. Method for this is a combination of excel and power BI.
Ensure resource cost data is accurate for reporting into Finance to calculate budgets.
Creation of office attendance for contingent workers. Method for this is excel macros.
Run the Technology new starter induction, which occurs twice a month.
Creation of the Technology organisation chart. Method for this is via Visio.
Maintain and enhance good working relationships with the teams stakeholders.
**Skills and Experience:**
Technical Capability
Strong excel skills. Be able to build and run macros and power queries.
Strong power BI skills. Be able to build and update reporting in power BI.
Strong visio skills. Be able to create workflows and org charts.
Strong numerical skills. To aid day-to-day activities.
Degree level educated. Although equivalent work experience, or apprentice level experience also relevant.
We are open to considering flexible working requests in line with organisational requirements.
MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
At MUFG, our colleagues are our greatest assets. Our Culture Principles provide a roadmap for how each of our colleagues must think and act to become more client-obsessed, inclusive and innovative. They reflect who we are, who we want to be and what we expect from one another. We are excited to see you take the next step in exploring a career with us and encourage you to spend more time reviewing them!
**Our Culture Principles**
Client Centric
People Focused
Listen Up. Speak Up.
Innovate & Simplify
Own & Execute
This advertiser has chosen not to accept applicants from your region.
8
Clinical Data Management Specialist
Progress Sales Recruitment Ltd
Posted 1 day ago
Job Viewed
Job Description
Clinical Data Scientist – Pharmaceutical / Clinical Trials / RWE
Are you a dedicated Clinical Data Scientist with a passion for advancing pharmaceutical research? This role offers a unique chance to be at the forefront of groundbreaking clinical studies, where your expertise will directly impact the development of life-changing treatments.
Imagine a position where your skills are not only valued but essential. This role promises an environment that fosters professional growth, innovation, and collaboration. The organisation is renowned for its commitment to excellence and its supportive culture, ensuring that every team member thrives.
The office is based in Manchester – you will access once a week – maybe slightly flexible.
The package will depend on experience but will be circa £48-55k with benefits
The Environment…
- Innovative Solutions: Be at the forefront of advancing drug development through cutting-edge Electronic Health Records (EHR) technology, which accelerates clinical trials and improves patient outcomes globally.
- Professional Growth: Join a highly experienced and collaborative Executive Team, offering ample opportunities for career development and leadership.
- Company Culture: Join a workplace that values innovation and collaboration, fostering an environment where you can thrive professionally.
The ideal candidate will possess a robust background in clinical data science, specifically within the pharmaceutical or clinical research sectors. A deep understanding of the Study Data Tabulation Model (SDTM) is crucial, as this role involves the meticulous management and analysis of clinical trial data to ensure compliance with regulatory standards.
Key responsibilities include:
- Designing and implementing data collection systems and other strategies that optimise statistical efficiency and data quality.
- Interpreting data, analysing results using statistical techniques, and providing ongoing reports.
- Identifying, analysing, and interpreting trends or patterns in complex data sets.
- Collaborating with cross-functional teams to ensure data accuracy and integrity throughout the clinical trial process.
Essential skills and experience:
- Proven experience as a Clinical Data Scientist within the pharmaceutical or clinical research industries.
- In-depth knowledge of the Study Data Tabulation Model (SDTM).
- Proficiency in statistical software and data management tools.
- Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
- Excellent communication skills, both written and verbal, with the ability to present complex data in a clear and concise manner.
This role is more than just a job; it is a chance to contribute to meaningful scientific advancements while developing your career in a dynamic and supportive environment. If you are ready to take the next step and make a real difference in the world of clinical research, this could be the perfect fit.
At Progress Recruitment, we're passionate about making the perfect match between top talent and leading medical companies With over 20 years of experience, we specialise in numerous roles within the medical sector, ensuring the highest levels of service for both our clients and applicants.
Check out our areas of expertise:
- Roles: Nurse Advisers, Clinical Specialists, Theatre Sales Specialists, Sales Executives, Business Development Managers, Team Leaders, Sales Managers, Sales Directors, and more.
- Core Therapy Areas: Vascular, Endoscopy, Urology, Neurology, ENT, Infection Control, Anaesthesia, Blood Products, Diathermy, Infusion, Orthopaedics, Surgical Instruments, and all PCT, Primary, Secondary, Theatre and Rehabilitation products.
Are you looking for your next career move? Or perhaps you're in need of specialised talent for your team? At Progress Recruitment, we're here to help you succeed.
This advertiser has chosen not to accept applicants from your region.
9