77 Data Manipulation jobs in the United Kingdom
Data Transformation Consultant
Posted 1 day ago
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Job Description
Data Transformation Consultant – Defence & National Security
Up to £110,000 + £6600 car allowance + 20% Bonus. DV cleared
Im looking for a highly experienced Data SME with a strong track record of delivering complex data transformation programmes within Defence or National Security environments.
This is a hybrid role mainly from home with travel to client sites as needed, and can ideally be based in Bristol, London, Manchester, or Glasgow area
Due to the sensitive nature of the work as the Data SME /Data Transformation Consultant , active DV clearance is essential.
As a Data SME /Data Transformation Consultant , you’ll act as a trusted advisor to senior stakeholders across Defence, guiding them through their digital and data-led transformation journeys. You'll lead programmes from strategy through to execution, delivering meaningful outcomes in fast-paced, mission-critical environments.
As the Data Transformation Consultant, you will:
- Shaping and delivering end-to-end data transformation programmes within secure Defence settings
- Identifying and developing new data-driven opportunities across Defence and Aerospace
- Providing hands-on leadership across project teams to ensure high-quality delivery
- Representing the business at industry events and driving reputation in secure data consulting
- Partnering closely with clients to turn data strategy into tangible results
To secure the role
- Proven experience leading major data or IT transformation projects in the Defence or National Security sectors
- Strong technical understanding across data solutions such as IBP, Control Towers, and enterprise platforms
- Background in growing Defence consulting portfolios , from opportunity identification to delivery
- Deep understanding of how data enables mission outcomes in secure environments
- Active DV clearance is required.
This is a fantastic opportunity for a senior data consultant / Data SME to step into a role where you can directly impact Defence missions and national priorities. If you're ready to make a real difference in the secure space, we want to hear from you.
IT Director, Digital, Data & Transformation - Housing - West Midlands
Posted today
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Job Description
IT Director, Digital, Data & Transformation - Housing - West Midlands
Progressive, forward thinking, innovative communities driven Housing Organisation urgently require a dynamic IT Director to help then shape the future state of the organisation in line with the Executive strategies they are developing
You will:
- Lead the design and delivery of a future state IT Strategy that aligns to the overall ex
Please make an application promptly if you are a good match for this role due to high levels of interest.
Please click on the apply button to read the full job description
IT Director DDaT -Digital, Data & Transformation Housing West Midlands
Posted today
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Job Description
IT Director, (DDaT) Digital, Data & Transformation - Housing - West Midlands
Progressive, forward thinking, innovative communities driven Housing Organisation urgently require a dynamic IT Director to help then shape the future state of the organisation in line with the Executive strategies they are developing
You will:
- Lead the design and delivery of a future state IT Strategy that aligns to the ove.
Project manager - digital transformation & data
Posted 1 day ago
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Job Description
Project Manager - Digital Transformation & Data | U. Law Firm | Fully Remote
Our client, a leading U. law firm known for its commitment to innovation and operational excellence, is seeking an experienced Project Manager to join their Digital, Technology & Data (DTD) division. This role sits within the Business Transformation team, which drives strategic improvements across departments such as HR, Finance, Business Development, Pricing, and Legal Operations.
This is a fully remote position, offering flexibility while working at the forefront of data and technology initiatives. The successful candidate will manage a diverse portfolio of projects-from AI tool development and data engineering to data governance and the creation of data lakes. You'll collaborate with cross-functional teams and senior stakeholders to deliver impactful, high-quality results.
Key Responsibilities:
Lead and manage complex, data-focused projects across the firm Define project scope, timelines, and resource plans in partnership with stakeholders Coordinate internal teams and external vendors to ensure successful execution Communicate project status, risks, and milestones to leadership Drive change management and ensure alignment across departments Oversee documentation and support materials for process and technology changes Candidate Profile:
Minimum 3 years' experience in digital transformation or data project management Strong knowledge of project methodologies (Agile, PMP, MSP preferred)Ability to manage multiple priorities in a fast-paced, professional services environment Excellent communication and stakeholder engagement skills Experience with data platforms, governance frameworks, or AI tools is a plus Background in legal tech, consulting, or law firm operations is highly desirable This is a rare opportunity to join a top-tier law firm in a role that blends strategic thinking, technical oversight, and operational impact-all from the comfort of your home office.
Due to the high volume of applications, we are not able to respond to all enquiries. If you have not received a response within 72 hours, please assume you have not been shortlisted at this stage, however thank you for taking the time to apply.
Data Management Analyst
Posted 1 day ago
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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
Data Management Intern
Posted 28 days ago
Job Viewed
Job Description
**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
Data Management Analyst
Posted today
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Job Description
At Stonewater, data isnt just numbers on a screen its the heartbeat of how we drive impact, improve lives, and achieve our strategic goals.
Were looking for a passionate Data Management Analyst to be our subject matter expert in Data Quality, Business Rules and Reference, Master, and Meta Data Management, with the key goal of building trust and confidence in the data we hold.
Working closely with b.
WHJS1_UKTJ
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Senior Data Management Professional - Data Science - Data Management Lab
Posted 4 days ago
Job Viewed
Job Description
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
Senior Data Management Professional - Data Science - Data Management Lab
Posted 4 days ago
Job Viewed
Job Description
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
Senior Data Management Professional - Data Science - Data Management Lab
Posted 4 days ago
Job Viewed
Job Description
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