56 Database Architect Positions jobs in the United Kingdom
Principal Architect - Database Solutions Engineering
Nutanix
Posted 11 days ago
Job Viewed
Job Description
**Hungry, Humble, Honest, with Heart.**
**The Opportunity**
_This role is open for applicants from the Netherlands or the UK._
The Nutanix Database Solutions Engineering team is looking for a seasoned Database Solution Architect to join our team focused on bringing Hybrid and multi-cloud Database-as-a-Service to the enterprise level. The Database Solutions Architect combines deep technical subject matter expertise with a keen understanding of how to address the critical business needs of enterprise customers through Nutanix products and solutions. This role is a high-impact and high-visibility one. As customers continue their hybrid cloud journey, architect-level guidance is critical to their success.
The architect must be a highly organized, thorough, and motivated professional who understands the importance of being a strong team player and leader when forging a solution and liaising with customers. A deep technical expertise in traditional and next-generation database technologies-including containerized and cloud-native database workloads is a must.
This role is critical to designing scalable, secure, and resilient data architectures that align with our cloud transformation goals and modern application environments. The ideal candidate will lead innovation while ensuring enterprise-grade reliability and performance across diverse deployment models.
**About the Team**
Nutanix Database Engineering Solutions team is responsible for development/test of Best Practices and Reference Architecture guides regarding Databases on Nutanix, as well as helping out with pre and post-sales support.
We work in a collaborative environment where everyone is encouraged to try new things and come up with new solutions.
Within the DB Engineering Solutions team, you'll find no shortage of challenging problems to work on.
**Your Role**
+ Design and implement robust, high-performing, and future-ready database architectures that support operational, transactional, and analytical workloads.
+ Research and assess next-gen database platforms (e.g., vector databases, graph databases, time-series DBs, real-time analytics engines) and recommend adoption paths.
+ Develop data strategies that span on-prem, cloud (AWS, Azure, GCP), and hybrid environments, including serverless and distributed database models.
+ Ensure database solutions comply with data governance, privacy, and security regulations
+ Champion innovation by researching new technologies, database engine updates and any other relevant ecosystem update
+ Develop and maintain enterprise-grade database DR strategies, including backup/recovery plans, replication, failover mechanisms, and cross-region availability.
+ Partner with internal teams, prospects, and customers to expertly design and deploy database workloads on the Nutanix platform, fostering collaboration, technical excellence, and customer success at every stage
+ Collaborate with Nutanix's Engineering by developing and running benchmarks, providing SWOT analysis of the Nutanix Platform in order enhance the Nutanix's offerings
+ Develop robust automation solutions for database provisioning, health monitoring, and lifecycle management to drive operational efficiency, consistency, and scalability.
+ Partner with Nutanix sales teams to support large-scale and strategic opportunities, providing technical expertise and solution alignment to drive customer value and deal success.
+ Provide help to install, support, and maintain Nutanix solutions during strategic Proof of Concept (POC) deployments
+ Be part of a global team of SME's providing help during customer escalations processes
+ Achieve NCX certification within the first year to enhance expertise in customer experience management and establish credibility.
**What You Will Bring**
+ 12+ years' experience in a customer-facing technical role - minimum of 5 years in database architecture, with hands-on experience in both relational and non-relational database systems, such as Oracle, MSSQL, PostgreSQL, MySQL, MongoDB, etc.
+ 8+ years of Relational Database implementation, operations and/or solution deployment experience in a business-critical, high-availability context.
+ Deep expertise in one or more of the following areas: Server Virtualization; Networking, Storage, Platform and Database Performance tuning
+ Experience with deployments of databases on Kubernetes as a big plus
+ Hands on experience with Benchmarking tools like HammerDB, Benchmark Factory, PgBench, SLOB, cnp-bench or others
+ Experience in writing automation scripts (python, PowerShell) and experience with infrastructure automation frameworks such as Ansible, Chef, Puppet and similar
+ Knowledge of public cloud database solutions/offerings like AWS RDS is a plus
+ Excellent oral and written communications skills, as well as excellent presentation skills
+ Bachelor's degree or equivalent experience
**Work Arrangement**
Remote: This position is primarily remote. There is no specific in-office requirement, however, there may be circumstances where you may be required to come into a local office for a specific purpose, and/or to travel to other locations based on business needs.
We're an Equal Opportunity Employer Nutanix is an Equal Employment Opportunity and (in the U.S.) an Affirmative Action employer. Qualified applicants are considered for employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status or any other category protected by applicable law. We hire and promote individuals solely on the basis of qualifications for the job to be filled. We strive to foster an inclusive working environment that enables all our Nutants to be themselves and to do great work in a safe and welcoming environment, free of unlawful discrimination, intimidation or harassment. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you need a reasonable accommodation, please let us know by contacting
**The Opportunity**
_This role is open for applicants from the Netherlands or the UK._
The Nutanix Database Solutions Engineering team is looking for a seasoned Database Solution Architect to join our team focused on bringing Hybrid and multi-cloud Database-as-a-Service to the enterprise level. The Database Solutions Architect combines deep technical subject matter expertise with a keen understanding of how to address the critical business needs of enterprise customers through Nutanix products and solutions. This role is a high-impact and high-visibility one. As customers continue their hybrid cloud journey, architect-level guidance is critical to their success.
The architect must be a highly organized, thorough, and motivated professional who understands the importance of being a strong team player and leader when forging a solution and liaising with customers. A deep technical expertise in traditional and next-generation database technologies-including containerized and cloud-native database workloads is a must.
This role is critical to designing scalable, secure, and resilient data architectures that align with our cloud transformation goals and modern application environments. The ideal candidate will lead innovation while ensuring enterprise-grade reliability and performance across diverse deployment models.
**About the Team**
Nutanix Database Engineering Solutions team is responsible for development/test of Best Practices and Reference Architecture guides regarding Databases on Nutanix, as well as helping out with pre and post-sales support.
We work in a collaborative environment where everyone is encouraged to try new things and come up with new solutions.
Within the DB Engineering Solutions team, you'll find no shortage of challenging problems to work on.
**Your Role**
+ Design and implement robust, high-performing, and future-ready database architectures that support operational, transactional, and analytical workloads.
+ Research and assess next-gen database platforms (e.g., vector databases, graph databases, time-series DBs, real-time analytics engines) and recommend adoption paths.
+ Develop data strategies that span on-prem, cloud (AWS, Azure, GCP), and hybrid environments, including serverless and distributed database models.
+ Ensure database solutions comply with data governance, privacy, and security regulations
+ Champion innovation by researching new technologies, database engine updates and any other relevant ecosystem update
+ Develop and maintain enterprise-grade database DR strategies, including backup/recovery plans, replication, failover mechanisms, and cross-region availability.
+ Partner with internal teams, prospects, and customers to expertly design and deploy database workloads on the Nutanix platform, fostering collaboration, technical excellence, and customer success at every stage
+ Collaborate with Nutanix's Engineering by developing and running benchmarks, providing SWOT analysis of the Nutanix Platform in order enhance the Nutanix's offerings
+ Develop robust automation solutions for database provisioning, health monitoring, and lifecycle management to drive operational efficiency, consistency, and scalability.
+ Partner with Nutanix sales teams to support large-scale and strategic opportunities, providing technical expertise and solution alignment to drive customer value and deal success.
+ Provide help to install, support, and maintain Nutanix solutions during strategic Proof of Concept (POC) deployments
+ Be part of a global team of SME's providing help during customer escalations processes
+ Achieve NCX certification within the first year to enhance expertise in customer experience management and establish credibility.
**What You Will Bring**
+ 12+ years' experience in a customer-facing technical role - minimum of 5 years in database architecture, with hands-on experience in both relational and non-relational database systems, such as Oracle, MSSQL, PostgreSQL, MySQL, MongoDB, etc.
+ 8+ years of Relational Database implementation, operations and/or solution deployment experience in a business-critical, high-availability context.
+ Deep expertise in one or more of the following areas: Server Virtualization; Networking, Storage, Platform and Database Performance tuning
+ Experience with deployments of databases on Kubernetes as a big plus
+ Hands on experience with Benchmarking tools like HammerDB, Benchmark Factory, PgBench, SLOB, cnp-bench or others
+ Experience in writing automation scripts (python, PowerShell) and experience with infrastructure automation frameworks such as Ansible, Chef, Puppet and similar
+ Knowledge of public cloud database solutions/offerings like AWS RDS is a plus
+ Excellent oral and written communications skills, as well as excellent presentation skills
+ Bachelor's degree or equivalent experience
**Work Arrangement**
Remote: This position is primarily remote. There is no specific in-office requirement, however, there may be circumstances where you may be required to come into a local office for a specific purpose, and/or to travel to other locations based on business needs.
We're an Equal Opportunity Employer Nutanix is an Equal Employment Opportunity and (in the U.S.) an Affirmative Action employer. Qualified applicants are considered for employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status or any other category protected by applicable law. We hire and promote individuals solely on the basis of qualifications for the job to be filled. We strive to foster an inclusive working environment that enables all our Nutants to be themselves and to do great work in a safe and welcoming environment, free of unlawful discrimination, intimidation or harassment. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you need a reasonable accommodation, please let us know by contacting
This advertiser has chosen not to accept applicants from your region.
0
Senior GTM Specialist Solution Architect - Database,WWSO Startup
London, London
Amazon
Posted 13 days ago
Job Viewed
Job Description
Description
We're looking for a Senior Solutions Architect to join our startup team, bringing deep Database expertise to startups across EMEA. This role combines technical depth with customer obsession and strategic insight to help startups innovate and scale using AWS technologies.
Working as part of our Specialist Go-To-Market (GTM) organization, you'll partner with a Specialist BD to develop and execute strategies that drive AWS adoption in the Database space. You'll contribute your technical expertise as an advisor to startups, work strategically with internal teams, and help lead our Database Community of Practice. Together with your Database BD, you'll create and execute sales plays and scaling motions that address the unique needs of startup customers and enable both customers and our Solution Architect community. Your role will involve designing and leading technical workshops focused on Database-specific use cases, creating proof-of-concept programs to demonstrate the value of AWS Database services, crafting industry-specific solutions that showcase AWS capabilities in Database and developing migration accelerators for startups.
You'll also play a crucial role in bringing startup feedback to AWS service teams, helping ensure our Database offerings evolve to meet the needs of emerging companies. This role offers you the opportunity to work with some of the most innovative startups in EMEA, helping them leverage AWS technology to accelerate their growth and success.
Key job responsibilities
* Serve as the primary technical expert for AWS Database technologies, advising startup customers on architecting and implementing scalable, secure, and cost-effective solutions
* Partner with
We're looking for a Senior Solutions Architect to join our startup team, bringing deep Database expertise to startups across EMEA. This role combines technical depth with customer obsession and strategic insight to help startups innovate and scale using AWS technologies.
Working as part of our Specialist Go-To-Market (GTM) organization, you'll partner with a Specialist BD to develop and execute strategies that drive AWS adoption in the Database space. You'll contribute your technical expertise as an advisor to startups, work strategically with internal teams, and help lead our Database Community of Practice. Together with your Database BD, you'll create and execute sales plays and scaling motions that address the unique needs of startup customers and enable both customers and our Solution Architect community. Your role will involve designing and leading technical workshops focused on Database-specific use cases, creating proof-of-concept programs to demonstrate the value of AWS Database services, crafting industry-specific solutions that showcase AWS capabilities in Database and developing migration accelerators for startups.
You'll also play a crucial role in bringing startup feedback to AWS service teams, helping ensure our Database offerings evolve to meet the needs of emerging companies. This role offers you the opportunity to work with some of the most innovative startups in EMEA, helping them leverage AWS technology to accelerate their growth and success.
Key job responsibilities
* Serve as the primary technical expert for AWS Database technologies, advising startup customers on architecting and implementing scalable, secure, and cost-effective solutions
* Partner with
This advertiser has chosen not to accept applicants from your region.
1
Senior GTM Specialist Solution Architect - Database,WWSO Startup
London, London
Amazon
Posted 13 days ago
Job Viewed
Job Description
Description
We're looking for a Senior Solutions Architect to join our startup team, bringing deep Database expertise to startups across EMEA. This role combines technical depth with customer obsession and strategic insight to help startups innovate and scale using AWS technologies.
Working as part of our Specialist Go-To-Market (GTM) organization, you'll partner with a Specialist BD to develop and execute strategies that drive AWS adoption in the Database space. You'll contribute your technical expertise as an advisor to startups, work strategically with internal teams, and help lead our Database Community of Practice. Together with your Database BD, you'll create and execute sales plays and scaling motions that address the unique needs of startup customers and enable both customers and our Solution Architect community. Your role will involve designing and leading technical workshops focused on Database-specific use cases, creating proof-of-concept programs to demonstrate the value of AWS Database services, crafting industry-specific solutions that showcase AWS capabilities in Database and developing migration accelerators for startups.
You'll also play a crucial role in bringing startup feedback to AWS service teams, helping ensure our Database offerings evolve to meet the needs of emerging companies. This role offers you the opportunity to work with some of the most innovative startups in EMEA, helping them leverage AWS technology to accelerate their growth and success.
Key job responsibilities
* Serve as the primary technical expert for AWS Database technologies, advising startup customers on architecting and implementing scalable, secure, and cost-effective solutions
* Partner with
We're looking for a Senior Solutions Architect to join our startup team, bringing deep Database expertise to startups across EMEA. This role combines technical depth with customer obsession and strategic insight to help startups innovate and scale using AWS technologies.
Working as part of our Specialist Go-To-Market (GTM) organization, you'll partner with a Specialist BD to develop and execute strategies that drive AWS adoption in the Database space. You'll contribute your technical expertise as an advisor to startups, work strategically with internal teams, and help lead our Database Community of Practice. Together with your Database BD, you'll create and execute sales plays and scaling motions that address the unique needs of startup customers and enable both customers and our Solution Architect community. Your role will involve designing and leading technical workshops focused on Database-specific use cases, creating proof-of-concept programs to demonstrate the value of AWS Database services, crafting industry-specific solutions that showcase AWS capabilities in Database and developing migration accelerators for startups.
You'll also play a crucial role in bringing startup feedback to AWS service teams, helping ensure our Database offerings evolve to meet the needs of emerging companies. This role offers you the opportunity to work with some of the most innovative startups in EMEA, helping them leverage AWS technology to accelerate their growth and success.
Key job responsibilities
* Serve as the primary technical expert for AWS Database technologies, advising startup customers on architecting and implementing scalable, secure, and cost-effective solutions
* Partner with
This advertiser has chosen not to accept applicants from your region.
2
Senior GTM Specialist Solution Architect - Database, WWSO Startup
London, London
Amazon
Posted 13 days ago
Job Viewed
Job Description
Description
We're looking for a Senior Solutions Architect to join our startup team, bringing deep Database expertise to startups across EMEA. This role combines technical depth with customer obsession and strategic insight to help startups innovate and scale using AWS technologies.
Working as part of our Specialist Go-To-Market (GTM) organization, you'll partner with a Specialist BD to develop and execute strategies that drive AWS adoption in the Database space. You'll contribute your technical expertise as an advisor to startups, work strategically with internal teams, and help lead our Database Community of Practice. Together with your Database BD, you'll create and execute sales plays and scaling motions that address the unique needs of startup customers and enable both customers and our Solution Architect community. Your role will involve designing and leading technical workshops focused on Database-specific use cases, creating proof-of-concept programs to demonstrate the value of AWS Database services, crafting industry-specific solutions that showcase AWS capabilities in Database and developing migration accelerators for startups.
You'll also play a crucial role in bringing startup feedback to AWS service teams, helping ensure our Database offerings evolve to meet the needs of emerging companies. This role offers you the opportunity to work with some of the most innovative startups in EMEA, helping them leverage AWS technology to accelerate their growth and success.
Key job responsibilities
* Serve as the primary technical expert for AWS Database technologies, advising startup customers on architecting and implementing scalable, secure, and cost-effective solutions
* Partner with
We're looking for a Senior Solutions Architect to join our startup team, bringing deep Database expertise to startups across EMEA. This role combines technical depth with customer obsession and strategic insight to help startups innovate and scale using AWS technologies.
Working as part of our Specialist Go-To-Market (GTM) organization, you'll partner with a Specialist BD to develop and execute strategies that drive AWS adoption in the Database space. You'll contribute your technical expertise as an advisor to startups, work strategically with internal teams, and help lead our Database Community of Practice. Together with your Database BD, you'll create and execute sales plays and scaling motions that address the unique needs of startup customers and enable both customers and our Solution Architect community. Your role will involve designing and leading technical workshops focused on Database-specific use cases, creating proof-of-concept programs to demonstrate the value of AWS Database services, crafting industry-specific solutions that showcase AWS capabilities in Database and developing migration accelerators for startups.
You'll also play a crucial role in bringing startup feedback to AWS service teams, helping ensure our Database offerings evolve to meet the needs of emerging companies. This role offers you the opportunity to work with some of the most innovative startups in EMEA, helping them leverage AWS technology to accelerate their growth and success.
Key job responsibilities
* Serve as the primary technical expert for AWS Database technologies, advising startup customers on architecting and implementing scalable, secure, and cost-effective solutions
* Partner with
This advertiser has chosen not to accept applicants from your region.
3
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.
4
Data Management Intern
Westerham, South East
Bombardier
Posted 27 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.
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! 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.
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6
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.
7
Senior Data Management Professional - Data Science - Data Management Lab
London, London
Bloomberg
Posted 3 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.
8
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.
9