73 Data Transformation jobs in the United Kingdom
Senior Data Management Professional - Data Science - Data Management Lab
Posted today
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
10043689
**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 today
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
10043689
**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 1 day ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
10043689
**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
Director, Data Management

Posted 1 day ago
Job Viewed
Job Description
Establish and lead a Data Management Support Office framework to drive quality, consistency and efficiencies across a DM FSP model at IQVIA. Where applicable, performs and oversees data management activities in order to provide high quality data that meets client/project needs. Ensures that data is processed and tracked in alignment with regulatory and quality standards.
**RESPONSIBILITIES**
+ Liaise with customer counterpart and internal LT to understand Data Management Support Office business requirements. Develop and execute plan to meet these requirements.
+ Provides direction and support to Data Management Support Office leads in each of the following areas:
+ Onboarding and Training - partnering with customer Learning team to manage and deliver customer onboarding materials, DM role-based curricula/compliance, Train the Trainer etc.
+ Lead Support Office - establish structures to embed customer process/system/standards knowledge and support the institution of new customer lead roles at IQVIA.
+ Continuous Process Improvement - assess impact of customer process changes/establish structure for managing new ideas/process issues with customer.
+ Demand and capacity management.
+ Quality - managing QI investigations and CAPAs; eTMF Compliance.
+ KPI Reporting and Management
+ Provide strategic direction in the Data Management area.
+ Consolidate resource requirements and define staffing needs that ensure project objectives can be met while maximizing utilization, realization and minimizing costs.
+ Monitor and manage utilization and productivity. Ensure performance of staff is regularly assessed and documented. Define staffing needs based on hard backlog and strategic plan for office.
+ Define and implement department objectives consistent with broader office and regional objectives. Provide technical advice and solutions to solve problems and improve efficiency across functions, projects and customers.
+ Monitor quality and efficiency across projects to identify trends and opportunities for improvements. Ensure sharing of learning across projects and departments.
+ Participate in defining strategies for new processes and technology at either regional or global level. Ensure that staff is trained and compliant with current operating procedures and work instructions and project scope of work.
+ Work with peers within office and regions to define and implement training strategies. Mentor staff members to develop Data Management, drug development and business expertise.
+ Manage relationship with customer functional peers. Provide operational input into proposals for large programs and strategic partnerships. Provide input to costing algorithms and standard proposal text.
+ Attend customer meetings and lead discussions of project requirements and strategic planning. Recommend placement of projects based on staffing levels and hard backlog, technology requirements and customer relationships. Ensure compliance of work with project's scope of work.
+ Actively assess and manage project realization. Ensure project milestones are met according to agree upon timelines with high quality. May serve as a Data Management Customer Liaison for one or more customers. Manage staff in accordance with organization's policies and applicable regulations.
+ Responsibilities include planning, assigning, and directing work, appraising performance, and guiding professional development rewarding and disciplining employees, addressing employee relations issues and resolving problems. Approve actions on human resources matters.
+ May manage a Data Management Department, which could be either all data management staff at an office or a subset of staff (80-120) within a large Data Management office.
**REQUIRED KNOWLEDGE, SKILLS AND ABILITIES**
+ Advanced knowledge of Data Management processes and systems, including new technologies
+ Solid understanding of clinical drug development process and production of DM deliverables
+ Strategic leadership ability
+ Knowledge of business processes
+ Strong business acumen; financial management and budgeting skills.
+ Proven ability to work on multiple projects and manage competing priorities
+ Proven staff management skills, strong leadership, motivational and influencing skills.
+ Outstanding written and oral communication skills
+ Proven leadership skills
+ Outstanding problem-solving skills
+ Excellent interpersonal skills
+ Excellent organizational skills and demonstrated ability to delegate appropriately and monitor quality of outputs
+ Outstanding negotiation, decision-making and problem-solving skills.
+ Ability to establish and maintain effective working relationships with co-workers, managers and clients.
**MINIMUM REQUIRED EDUCATION AND EXPERIENCE**
- Bachelor's degree, or educational equivalence, in clinical, biological or mathematical sciences or related field, or nursing
qualification with 12 years of relevant work experience including substantial people management experience; or
equivalent combination of education, training and experience
**PHYSICIAL REQUIREMENTS**
- Extensive use of telephone and face-to-face communication requiring accurate perception of speech
- Extensive use of keyboard requiring repetitive motion of fingers
- Regular sitting for extended periods of time
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled
Data Management Lead
Posted 3 days ago
Job Viewed
Job Description
Data Management Lead
London
Summary
The Data Management Lead (DML) in pharmaceuticals Sciences is responsible for overseeing all data management activities throughout the lifecycle of clinical trials, ensuring the delivery of high-quality, reliable, and compliant clinical data. This role involves leading data strategy development, managing timelines and deliverables. The DML ensures data collection t.
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Data Management Operative
Posted today
Job Viewed
Job Description
Data Management Operative Drone, Reality Capture, GIS, and Geospatial Technologies
Position Overview
We are seeking a detail-oriented Data Management Operative with experience in drone, reality capture, GIS, and geospatial technologies. In this role, you will be responsible for managing and processing large volumes of spatial data, ensuring its accuracy, integrity, and availability for various proj.
Data Management Lead - Manchester
Posted 2 days ago
Job Viewed
Job Description
Job summary
Discover a career in your hands at HMRC. Whether you're seeking purpose, growth, or a workplace that gives you a true sense of belonging, hear from some of our employees as they share their story about what it's really like to work at HMRC.
Visit our YouTube channel to watch the full series and come and discover your potential.
Job description
Join HMRC as a Data Management Lead and play a pivotal role in shaping how we manage and utilise critical information across our organisation. In this dynamic position, you will lead strategic data initiatives that directly support our mission to collect taxes and provide excellent customer service to the nation.
At HMRC, your sense of belonging matters. We are a service-led organisation with inspiring purpose and ethical standards, where respect for people is fundamental to everything we do. We embrace diversity as normal here, offering great working conditions with flexibility and work-life balance at the core of our approach. Our commitment to diversity, equity and inclusion ensures that everyone can thrive, with support for families, attention to allergies, and comprehensive neurodiversity support.
You will experience surprise in your opportunities through challenging work that embraces new technology. Our cutting-edge digital programmes are vast and exciting, featuring future-focused initiatives including single sign-on technology and borders and trade innovations. The scale of our tech and operations provides a clear path for advancement within dynamic sections of the business.
Take pride in social good through work that makes a real difference to the nation. This role offers a career in your hands with extensive training and development opportunities, variety in roles, and the chance to gain qualifications whilst progressing through grades.
We encourage applications from all backgrounds and are committed to creating an inclusive workplace where everyone can succeed.
Person specification
The Data Management Lead position at HMRC represents a strategic role responsible for overseeing the governance, quality, and strategic utilisation of data assets across the organisation. This role sits at the intersection of technology and business strategy, ensuring that data management practices align with HMRC's operational objectives and regulatory requirements. The successful candidate will lead cross-functional teams to implement robust data frameworks that support decision-making processes and enhance service delivery to the public.
Working within a collaborative environment, you will be responsible for developing and maintaining data standards, policies, and procedures that ensure compliance with data protection regulations whilst maximising the value derived from organisational data assets. The role requires strong leadership capabilities to influence stakeholders across various departments and drive cultural change towards data-driven decision making.
You will work closely with technical teams, business analysts, and senior leadership to identify opportunities for data innovation and improvement. The position offers significant scope for professional development within HMRC's supportive learning environment, with access to cutting-edge technologies and methodologies in the rapidly evolving field of data management.
Responsibilities
- Lead the development and implementation of data governance frameworks
- Oversee data quality assurance processes and standards
- Collaborate with stakeholders to define data requirements and strategies
- Manage data-related projects and initiatives across departments
Essential Criteria
- Knowledge of data management frameworks
- Understanding of data governance principles and practices
- Strong communication and stakeholder management skills with the ability to speak with confidence, challenge where needed, and negotiate effectively
- Ability to communicate complex data problems or insights into a format that can be understood by different audiences
- Demonstrable experience of strategic thinking and leadership in data management contexts.
Desirable Criteria
Data Management Qualification or similar
Additional Information - Transitional Sites
For more information on where you might be working, review this information on our locations.
If your location preference is for one of the following sites, it's important to note that these are not long-term sites for HMRC and we will require you to move to a new building in the future, subject to our location strategy and the applicable employee policies at that time.
These sites are:
- Waterview Park, Washington - moving to Pilgrims Quarter, Newcastle
- Benton Park View, Newcastle - moving to Pilgrims Quarter, Newcastle
- Centenary Court, Bradford - moving to 7 and 8 Wellington Place, Leeds
- Lynx House, Portsmouth - moving to No.1 The Goodsyard, Portsmouth
- Telford Plaza, Telford - moving to Parkside Court, Telford
- Trinity Bridge House, Manchester - moving to an alternative office in Manchester/ Salford
You will be given more information about what this means at the job offer stage
Benefits
Alongside your salary of £56,344, HM Revenue and Customs contributes £16,322 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides.
HMRC operates both Flexible and Hybrid Working policies, allowing you to balance your work and personal commitments. We welcome applications from those who need to work a more flexible arrangement and will agree to requests where possible, considering our operational and customer service needs.
We offer a generous leave allowance, starting at 25 days and increasing by a day for every year of qualifying service up to a maximum of 30 days.
- Pension - We make contributions to our colleagues' Alpha pension equal to at least 28.97% of their salary.
- Family friendly policies.
- Personal support.
- Coaching and development.
To find out more about HMRC benefits and find out what it's really like to work for HMRC hear from our insiders or visit Thinking of joining the Civil Service
Things you need to know
Selection process details
How to Apply
As part of the application process, you will be asked to provide the following:
- A name-blind CV including your job history and previous experiences.
- A 750 word personal statement which should demonstrate how you meet the points listed on the essential criteria.
Please complete a separate statement (Max 250 words) for the Desirable Criteria where applicable. This is not essential for the role but may be considered by the vacancy-holder where candidates have the same scores at sift or interview.
Further details around what this will entail are listed on the application form.
We acknowledge that AI can assist you in your application. Find our guidelines here.
Sift
In the event of a large number of applicants applying we intend to do an initial sift based on the Personal Statement
At full your CV and Personal Statement will be assessed. The sift will focus on your previous experience and your Personal Statement will be assessed on the Essential Criteria and requirements outlined in the Job Advert. If you successfully pass the sift stage, you will be invited to an interview.
Interview
During the panel interview you will be asked experience based questions to explore in detail what you are capable of and to also explore what you enjoy and your motivations relevant to the job role.
There will be a Presentation at the start of the interview. Details will be provided prior to interview.
Interviews will be via Teams Video. Details to be confirmed.
Eligibility
Please take extra care to tick the correct boxes in the eligibility sections of your application form. We understand mistakes sometimes happen but if you contact us later than two working days(Monday-Friday) before the vacancy closes, we will not be able to reopen your application for you. If you do make a mistake, please contact us via: - Use the subject line to insert appropriate wording for example - 'Please re-open my application - (Insert Vac Ref) & vacancy closing date (Insert Date)'
To check that you are eligible to apply for this role, please review the eligibility information before submitting your application.
Reserve List
A reserve list may be held for up to 12 months from which further appointments may be made for the same or similar roles - if this applies to you, we'll let you know via your Civil Service Jobs account.
Criminal Record Check
Applications received from candidates with a criminal record are considered fairly in accordance with the DBS Code of Practice and the Recruitment of ex-offenders Policy.
Merit List
After interview, a single merit list will be created, and you will only be considered for posts in locations you have expressed a preference for. Appointments will be made in strict merit order in line with the set number of roles in each location.
Reasonable Adjustments
We want to make sure no one is put at a disadvantage during our recruitment process. To assist you with this, we will reduce or remove any barriers where possible and provide additional support where appropriate.
If you need a change to be made so that you can make your application, you should:
- Contact the UBS Recruitment Excellence Team via as soon as possible before the closing date to discuss your needs.
Complete the "Assistance required" section in the "Additional requirements" page of your application form to tell us what changes or help you might need further on in the recruitment process. For instance, you may need wheelchair access at interview, or if you're deaf, a Language Service Professional.
Important information for existing HMRC contractual homeworkers
This role may be suitable for existing HMRC employees who are contractual homeworkers. Occasional attendance to the office will be required where there is a business need. Please consider the advertised office locations for this role when applying and only select locations from the 'location preferences' section that you can travel to.
Additional Information
We are looking into ways to enhance the applicant experience.
As part of our legitimate interests, we are testing the use of new technologies such as automation and/or Artificial Intelligence in the assessment for CV, personal statement and behaviour statement.
Please note that for this specific vacancy, this testing may run in parallel with our standard assessment process and will not influence or determine the outcome of your application in any way. You can read the Civil Service Jobs and HMRC Privacy Notices for more information about our lawful basis for processing your personal data and HMRC's use of AI.
If you don't want your data to be used as part of the trial, please send your Application ID and the Vacancy Reference to
Terms and Conditions
Current Civil Servants (all contract types) will need to ensure that they are still employed as a Civil Servant on or beyond the start date for the post. If their contract ends (for example due to the end of Fixed Term Appointment contract or resignation) at any point during the application process for the advertised role, they will no longer be eligible and may be withdrawn.
Customer facing roles in HMRC require the ability to converse at ease with members of the public and provide advice in accurate spoken English and/or Welsh where required. Where this is an essential requirement, this will be tested as part of the selection process.
HMRC has a presence in every region of the UK. For more information on where you might be working, review this information on our locations.
The Civil Service values honesty and integrity and expects all candidates to abide by these principles. The evidence you provide in your application must relate to your own experiences.
Any instances of plagiarism or other forms of cheating will be investigated and, if proven, the relevant application(s) will be withdrawn from the process.
Recording of interviews is prohibited unless explicit agreement is sought in line with the UK General Data Protection Regulations.
Questions relating to an individual application must be emailed as detailed later in this advert.
Applicants who are successful at interview will be, as part of pre-employment screening, subject to a check on the Internal Fraud Database (IFD). This check will provide information about employees who have been dismissed for fraud or dishonesty offences. This check also applies to employees who resign or otherwise leave before being dismissed for fraud or dishonesty had their employment continued. Any applicant's details held on the IFD will be refused employment.
A candidate is not eligible to apply for a role within the Civil Service if the application is made within a 5 year period following a dismissal for carrying out internal fraud against government.
If you experience accessibility problems with any attachments on this advert, please contact the email address in the 'Contact point for applicants' section.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check.
People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
This job is broadly open to the following groups:
- UK nationals
- nationals of the Republic of Ireland
- nationals of Commonwealth countries who have the right to work in the UK
- nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)
- nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
- individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
- Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants.
We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window).
The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Diversity and Inclusion
The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window).
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Resource Data Management Analyst
Posted today
Job Viewed
Job Description
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
Resource Data Management Analyst
Posted today
Job Viewed
Job Description
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
Resource Data Management Analyst

Posted 1 day ago
Job Viewed
Job Description
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 Management** ?
+ Manage 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 Recruitment** ?
+ Process 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 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