SQL Developer - Defence
London, London
IBM
Posted 13 days ago
Job Viewed
Job Description
**Introduction**
At IBM CIC, we deliver deep technical and industry expertise to a wide range of public and private sector clients in the UK.
A career in IBM CIC means you'll have the opportunity to work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio.
Curiosity and a constant quest for knowledge serve as the foundation to success here. You'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions which impact a wide network of clients, whom may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
We offer:
* Many training opportunities from classroom to e-learning, mentoring and coaching programs and the chance to gain industry recognized certifications
* Regular and frequent promotion opportunities to ensure you can drive and develop your career with us
* Feedback and checkpoints throughout the year
* Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
* A culture where your ideas for growth and innovation are always welcome
* Internal recognition programs for peer-to-peer appreciation as well as from manager to employees
* Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
* More traditional benefits, such as 25 days holiday (in addition to public holidays), online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
**Your role and responsibilities**
IBM Consulting is seeking an experienced Oracle Database Administrator (DBA) to join the Application Operations team supporting a government client and project. This position requires hands-on expertise in managing and optimising Oracle database systems, ensuring performance, security, and reliability in a production environment. The ideal candidate will bring a strong background in Oracle DBA practices and an appreciation of multiple related technologies, with the potential advantage of experience in Oracle Apex.
Responsibilities
* Administer, manage, and monitor Oracle databases for optimal performance and availability.
* Execute routine database maintenance, backup, and recovery processes.
* Ensure database security, integrity, and compliance with client requirements.
* Perform tuning and optimisation of SQL queries and database configurations.
* Collaborate with application developers and other technical teams to support database-related requirements.
* Support deployments and upgrades in coordination with the Application Operations team.
* Maintain documentation for database configurations and operational procedures.
* Participate in incident and problem management processes for database-related issues.
**Required technical and professional expertise**
* Proven experience as an Oracle Database Administrator in an enterprise or government setting.
* Proficient in Oracle database installation, configuration, patching, and upgrading.
* Strong knowledge of database backup and recovery methodologies.
* Performance tuning and troubleshooting skills.
* Ability to work within a structured ITIL-aligned support environment.
* Excellent communication and collaboration skills.
* SQL Development Java E business Suite experience CI/CD practices
As an equal opportunities' employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 10 years. You must be able to hold or gain a UK government security clearance.
**Preferred technical and professional experience**
* Experience with Oracle Apex.
* Familiarity with Oracle Cloud Middleware technologies.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
At IBM CIC, we deliver deep technical and industry expertise to a wide range of public and private sector clients in the UK.
A career in IBM CIC means you'll have the opportunity to work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio.
Curiosity and a constant quest for knowledge serve as the foundation to success here. You'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions which impact a wide network of clients, whom may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
We offer:
* Many training opportunities from classroom to e-learning, mentoring and coaching programs and the chance to gain industry recognized certifications
* Regular and frequent promotion opportunities to ensure you can drive and develop your career with us
* Feedback and checkpoints throughout the year
* Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
* A culture where your ideas for growth and innovation are always welcome
* Internal recognition programs for peer-to-peer appreciation as well as from manager to employees
* Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
* More traditional benefits, such as 25 days holiday (in addition to public holidays), online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
**Your role and responsibilities**
IBM Consulting is seeking an experienced Oracle Database Administrator (DBA) to join the Application Operations team supporting a government client and project. This position requires hands-on expertise in managing and optimising Oracle database systems, ensuring performance, security, and reliability in a production environment. The ideal candidate will bring a strong background in Oracle DBA practices and an appreciation of multiple related technologies, with the potential advantage of experience in Oracle Apex.
Responsibilities
* Administer, manage, and monitor Oracle databases for optimal performance and availability.
* Execute routine database maintenance, backup, and recovery processes.
* Ensure database security, integrity, and compliance with client requirements.
* Perform tuning and optimisation of SQL queries and database configurations.
* Collaborate with application developers and other technical teams to support database-related requirements.
* Support deployments and upgrades in coordination with the Application Operations team.
* Maintain documentation for database configurations and operational procedures.
* Participate in incident and problem management processes for database-related issues.
**Required technical and professional expertise**
* Proven experience as an Oracle Database Administrator in an enterprise or government setting.
* Proficient in Oracle database installation, configuration, patching, and upgrading.
* Strong knowledge of database backup and recovery methodologies.
* Performance tuning and troubleshooting skills.
* Ability to work within a structured ITIL-aligned support environment.
* Excellent communication and collaboration skills.
* SQL Development Java E business Suite experience CI/CD practices
As an equal opportunities' employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 10 years. You must be able to hold or gain a UK government security clearance.
**Preferred technical and professional experience**
* Experience with Oracle Apex.
* Familiarity with Oracle Cloud Middleware technologies.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
0
SQL Database Analyst
London, London
Axiom Software Solutions Limited
Posted 2 days ago
Job Viewed
Job Description
• Job Role : Database Analyst (SQL)
• Job Type : Permanent
• Location : London, UK
• Work Mode : Hybrid (2-3 days onsite in a week)
Job Description :
Tech Stack & Languages
• Tech Stack: SQL, PL/SQL, ETL,
• ata Warehousing
• L nguages: SQL, Python, R
Relevant Technologies & Tools
• C re Technologies: SQL, PL/SQL, ETL, Data Warehousing
• D tabases: SQL Server, Oracle, MS Fabric
• D ta Visualization: Tableau, Power BI
• A ditional Tools: Kafka, Snowflake
Must-Have Qualifications
• S L Server
• P /SQL
• D ta Warehousing
• T bleau/Power BI
Nice-to-Have Qualifications
• S owflake
• H doop
• E perience with cloud databases (AWS RDS, Azure SQL)
Requirements
Tech Stack & Languages
• T ch Stack: SQL, PL/SQL, ETL,
• D ta Warehousing
• L nguages: SQL, Python, R
Relevant Technologies & Tools
• C re Technologies: SQL, PL/SQL, ETL, Data Warehousing
• D tabases: SQL Server, Oracle, MS Fabric
• D ta Visualization: Tableau, Power BI
• A ditional Tools: Kafka, Snowflake
This advertiser has chosen not to accept applicants from your region.
1
Data Analyst (SQL, PySpark, Python)
London, London
Halian
Posted 1 day ago
Job Viewed
Job Description
Our client is seeking an experienced Data Analyst to support a key client engagement within their professional services division. This is an initial 1 year contract based in London, operating on a hybrid basis (2 days onsite per week) and falling inside IR35.Key Responsibilities:Independently manage data extraction, cleansing, and transformation activitiesDevelop production-grade analytics code using SQL, PySpark, and PythonAnalyze large-scale datasets to generate actionable insights and visualizationsCollaborate across technical and business teams to drive data-driven decision makingRequired Experience:3–5 years' hands-on experience in data analysis, insight generation, and data visualizationProven expertise in SQL and PySpark, with solid working knowledge of PythonBackground working with big data platforms, large datasets, and pipelinesStrong analytical thinking and a collaborative, self-directed working styleExperience in the Payments, FinTech, or financial services sector is highly desirable, though not mandatorySeniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeContractJob functionJob functionConsultingIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at Halian by 2xSign in to set job alerts for “Data Analyst” roles.City Of London, England, United Kingdom £39.00-£5.00 4 days agoLondon, England, United Kingdom 0,000.00- 0, hours agoLondon, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 3 weeks agoData Analyst, EMEA Supply Chain Operations – 1 Year Fixed ContractLondon, England, United Kingdom 6 days agoLondon, England, United Kingdom 1 week agoCity Of London, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 2 weeks agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.n#J-18808-Ljbffrn
This advertiser has chosen not to accept applicants from your region.
2
Oracle PL/SQL Database Engineer
£33000 - £50000 annum
Future Publishing
Posted 538 days ago
Job Viewed
Job Description
Within Future, Marketforce is the business unit focused on Circulation Newsstand in the UK and globally. With more than 30-years of experience, Marketforce leads the way in magazine distribution, global sales and marketing for a wide range of publishing partners which includes the Future portfolio. It is the #1 magazine distributor distributing over 200 million copies worldwide each year.
The Marketforce applications are bespoke and purpose built, on the foundations of Oracle (19c)/ ORACLE Forms (64bit) 12.2.1.3.0 and WebLogic 12.2.1.3.0 and Microsoft .NET technologies, using both waterfall and agile methodologies. The exception is our BI reporting tool, Business Objects XI (BOXI) , a proprietary SAP product. Developer tools and supporting products exist which are used to aid the ongoing developments of the applications.
Underpinning the applications is a suite of ORACLE distributed 19c databases, hosted on multiple ORACLE Data Appliance hardware.
This position requires the individual to become the ORACLE / ORACLE Forms technical expert for applications, BAU delivery, enhancements, developments and the primary contact for the business, each engineer also has to provide secondary cover for other applications based on their technology experience
What you'll be doing.
The Circulation Tech team of 10, consists of Project Managers, Business Analysts, ORACLE and Software Engineers. Additionally the team is the conduit for Infrastructure/ Networks based projects, working closely with an extended team to manage and deliver change through to Marketforce and its applications.
The team works closely with other partners:
- Future colleagues such as Finance (NetSuite) team, Editorial, Production, Tech & Engineering teams
- Marketforce partners such as 3rd party (non-Future) publishers, wholesalers, retailers, carriers, International distributors
Experience that will put you ahead of the curve.
- Experience in database development using Oracle PL/SQL
- SQL writing skills and data analysis using SQLPlus/ Toad/ SQL developer
- Experience in debugging and performance tuning PL/SQL code
- Experience in Oracle Forms 12c (Oracle Fusion Middleware)
- Experience with ETL processing, data extraction, transform and load
- Good problem solving and analytical skills
- Knowledge of database best practices
- A willingness to learn and develop
- Multi-tasking, prioritise and deliver and communicate accordingly
- Front facing with business stakeholders
- Strong communication and documentation skills
- Code management using GitLab
- Utilising Atlassian Jira and Confluence
What's in it for you…
We have a number of awesome perks available to our staff. We offer huge opportunities to learn and develop, whether through professional qualifications, exposure to incredible business projects or informal lunch & learns, hosted by your colleagues. We have a fantastic culture where we really do care about our people and want everyone to succeed. Varied roles mean you’re not pigeonholed in to one finite area but get the opportunity to develop a wide range of skills and experience
And to top it all off, not only do we offer unlimited holiday because we trust you to manage your workload and time but we also offer a share in our success whereby every colleague is eligible to join our profit pool bonus scheme - if Future hits their performance targets all colleagues may receive a bonus.
Internal Job Family Level T6
The expected range for this job is £33,000 - £50,000
Wh o are we…
We’re Future. We’re 3000+ colleagues over 250+ brands speaking to 400 million people every month across the globe through websites, events and magazines. We’ve got ambitious plans that build on our growth momentum and unlock new opportunities and we’re looking for talented people who want to be a part of it.
Want to know more…
Our Future, Our Responsibility - Inclusion and Diversity at Future
We have a voice and we’re going to use it. We promote diversity and inclusion not just in our recruitment processes, but everything we do. We’re an equal opportunity employer and we will continue to ensure our recruitment process is free of bias and our workplaces are inclusive, positive, free of discrimination and respecting of all backgrounds and beliefs. Our culture is underpinned by our values and employees - current and future - are treated with respect and fairness.
Please let us know if you need any reasonable adjustments made so we can give you the best experience!
Find out more about Our Future, Our Responsibility on our website
#LI-HLK1
This advertiser has chosen not to accept applicants from your region.
3
Data Scientist – Machine learning and SQL
London, London
NLP PEOPLE
Posted 1 day ago
Job Viewed
Job Description
This is an exceptional job opportunity to work for a leading client in the heart of the City as a Jnr Data Scientist. You will be part of a global analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis and new product innovation.nProvide data driven analysis via statistical, quantitative, machine learning, programmatic and heuristic methods. Relate statistical and other analytical results to real world problems and explain the results to non-technical clients and colleagues.nHeavy use of SQL programming and statistical packages.nAnalyse, understand, clean, integrate and process complex/messy data.nExecute and deliver standard analytics services efficiently and consistently.nBe proactive, creative and inventive to solve problems to enhance existing and develop new analytics related products and services.nMy clients are especially interested in hearing from gifted scientists who not only have exceptional data analysis and problem solving abilities but also have what it takes to discern the hidden patterns and signals within the markets.nCompany:
OPUS (Rec.)nQualifications:
Useful skills to possess:nCommercial data science experiencenMachine learningnSQLnMsc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or EngineeringnCreating customer segmentation modelsnknowledge of SASnData MiningnR/PythonnProficient user MS OfficenThis is a superb career opportunity in the Data Science space .This Company invest a tremendous amount of time and money on skills training and personal development, so it will be a huge opportunity to progress your career from a technical Data Science skills and personal growth perspective.nEducational level:
Master DegreenTagged as:
Big Data ,
Data Analysis ,
Data Mining ,
Industry ,
Master Degree ,
United Kingdom
#J-18808-Ljbffrn
OPUS (Rec.)nQualifications:
Useful skills to possess:nCommercial data science experiencenMachine learningnSQLnMsc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or EngineeringnCreating customer segmentation modelsnknowledge of SASnData MiningnR/PythonnProficient user MS OfficenThis is a superb career opportunity in the Data Science space .This Company invest a tremendous amount of time and money on skills training and personal development, so it will be a huge opportunity to progress your career from a technical Data Science skills and personal growth perspective.nEducational level:
Master DegreenTagged as:
Big Data ,
Data Analysis ,
Data Mining ,
Industry ,
Master Degree ,
United Kingdom
#J-18808-Ljbffrn
This advertiser has chosen not to accept applicants from your region.
4
Director Data Management
London, London
Anson McCade
Posted 1 day ago
Job Viewed
Job Description
Overview
We have an exciting opportunity for a
Director of Data Architecture
to join a leading consultancy and act as the number two leader within their Data Practice. This is a high-impact leadership role requiring strategic pre-sales expertise, client engagement, and team leadership to drive large-scale data transformation programmes across multiple industries.nResponsibilities
Lead end-to-end bid and pre-sales efforts, shaping enterprise-level data solutions, building consensus between sales and delivery teams, and ensuring financial alignment.nAct as a trusted advisor to clients, presenting at senior levels, while driving internal practice development, mentoring senior data architects, and managing other Directors within the practice.nKey Skills & Expertise
Proven experience as a Data Architecture Leader or DirectornExtensive expertise in bids and pre-sales, including end-to-end solution design, pricing, and delivery alignmentnAbility to bridge the gap between sales and delivery, balancing cost, risk, and solution integritynStrong experience presenting to C-level stakeholders and leading complex client engagementsnDemonstrated success in practice development, coaching and managing senior architects and cross-functional teamsnStrong consulting background within large-scale data transformation programmesnPrevious experience within top-tier consulting firms, systems integrators, or data-driven organisations highly desirablenHybrid working, with a London base required for regular client and leadership engagementsnBenefits / Notes
20% annual bonusnHow to apply
To apply, contact
Declan Bryson
at
Anson McCade
on
or email
, quoting reference
AMC/DB/DDA/09 .
#J-18808-Ljbffrn
We have an exciting opportunity for a
Director of Data Architecture
to join a leading consultancy and act as the number two leader within their Data Practice. This is a high-impact leadership role requiring strategic pre-sales expertise, client engagement, and team leadership to drive large-scale data transformation programmes across multiple industries.nResponsibilities
Lead end-to-end bid and pre-sales efforts, shaping enterprise-level data solutions, building consensus between sales and delivery teams, and ensuring financial alignment.nAct as a trusted advisor to clients, presenting at senior levels, while driving internal practice development, mentoring senior data architects, and managing other Directors within the practice.nKey Skills & Expertise
Proven experience as a Data Architecture Leader or DirectornExtensive expertise in bids and pre-sales, including end-to-end solution design, pricing, and delivery alignmentnAbility to bridge the gap between sales and delivery, balancing cost, risk, and solution integritynStrong experience presenting to C-level stakeholders and leading complex client engagementsnDemonstrated success in practice development, coaching and managing senior architects and cross-functional teamsnStrong consulting background within large-scale data transformation programmesnPrevious experience within top-tier consulting firms, systems integrators, or data-driven organisations highly desirablenHybrid working, with a London base required for regular client and leadership engagementsnBenefits / Notes
20% annual bonusnHow to apply
To apply, contact
Declan Bryson
at
Anson McCade
on
or email
, quoting reference
AMC/DB/DDA/09 .
#J-18808-Ljbffrn
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 7 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 7 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 13 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 today
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 world’s leading financial groups. Across the globe, we’re 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 world’s most trusted financial group, it’s 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 “one stop solution” 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 ManagementManage cleaning resource data in workday. Run training via the new starter induction and creation of org charts on Kizuna. Creation of headcount reporting data monthly / quarterly / annually.Technology RecruitmentProcess all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff. Creation of recruitment and rate reporting.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 queriesCreation 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 CapabilityStrong 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.
This advertiser has chosen not to accept applicants from your region.
9