Defence Business Services (DBS) Data Analyst [Only 24hLeft]

Ministry of Defence
Glasgow
3 days ago
Create job alert

Data AnalystMinistry of DefenceApply before 11:55 pmon Wednesday 12th March 2025 Reference number: 390533Salary:£36,530 per annum (pro rata)A Civil Service Pension with anemployer contribution of 28.97%Contract type:PermanentLocation:Abbey Wood North, Stoke Gifford, Bristol BS348QWKentigern House - Glasgow G2 8EXTomlinson House, Norcross,Blackpool FY5 3WPGosport - Centurion Building PO13 9XAInnsworth -Imjin Barracks GL3 1HW About the jobAre you a dedicated person whois passionate about making a difference? Would you like to work forthe Ministry of Defence? Defence Business Services (DBS) is one ofthe largest shared service organisations in Europe that provides awide range of corporate services, to over 1.2 million end users,including serving and past military and families, as well as MoDcivil servants and industry. DBS delivers large scaleadministration and smaller specialist services to enable the widerMOD to focus on its core aims, maintaining the UK’s Defence andSecurity. Services include Human Resources, Pay, Veterans, Financeand Procurement. Our Vision - To support UK defence customers withoutstanding service every time.Our Mission – Together we willproudly support Defence, continuously improving and deliveringflexible, timely, sustainable and value for money services thatunderpin the whole force and enhance operational capability.â¯DBSis committed to creating a great place to work for all ourcolleagues. We are building an inclusive culture and respectfulenvironment that reflects the diversity of the society.⯠We wantto maximise the potential of everyone who chooses to work for usthrough opportunities to develop your skills and experience. Wealso offer a range of flexible working patterns and support to makea fulfilling career accessible to you and offer a Civil Servicepension with an average employer contribution of 28.97%. Where yourrole permits, we support a blended working approach alternativelyknown as hybrid working. Where business needs allow, some roles maybe suitable for a combination of office and home-based working.â¯This is a non-contractual arrangement where all office-basedemployees will be expected to spend a minimum of 60% of theirworking time in office, subject to capacity and any requiredworkplace adjustments. Requirements to attend other locations forofficial business, or work in another MOD office, will also counttowards this level of attendance. Applicants can request furtherinformation regarding how this may work in their team from theVacancy Holder (see advert for contact details). Defence BusinessServices cannot respond to any questions about workingarrangements. DBS has recently undertaken a review of itsoperational locations in the North West, and have consolidated allactivities in Norcross, Blackpool. A further move, to the newGovernment Hub at Talbot Gateway in Blackpool, is scheduled to takeplace in 2026.Come and join the DBS community today! JobdescriptionThe Armed Forces and Veterans Services (AFVS) areresponsible for the delivery of payroll, pensions, welfare andcompensation services to over 180,000 regular and reserve personneland 1 million veterans and their families via numerous ITplatforms. The AFVS Data Team are responsible for delivering aneffective data management and governance service, in accordancewith Government/MoDs Data Strategies, Policies & Practices, forall AFVS’s systems which store, manage and process MoD businessdata, including their associated data interfaces.As a Data Analystyou will be expected to use your analytical skills and knowledge tobecome a subject matter expert in MoD business metadata for AFVS’smajor data systems (inc Armed Forces HR System andPensions/Compensation System). Responsibilities of role include:Work collaboratively with DBS’s Business Partner (SSCL) and SingleServices, to implement effective data governance and managementpractices to all data holdings and data interfaces in AFVS estate.Line management responsibility for one Support Metadata Analyst.Manage and maintain AFVS Data Systems Register (includinginbound/outbound interfaces). Identify potential new systems, theirbusiness use, data contents and Data Quality (DQ)/metadatarequirements. Support identification of critical data and definingwhat good data looks like. Undertake data lifecycle activities forcritical data and ensure its purpose and use are documented.Support the identification and investigation of DQ risks andissues, including root cause, business impact and potentialcorrective/preventive measures. Manage, monitor, and deliveraccurate Data Dictionaries, Data Models, Master Data Lists and DataLineage Reference Artefacts service to End Users/Stakeholders ofAFVS data (inc creating new bespoke metadata artefacts whenrequired) to promote intelligent use of data to improve decisionmaking and data insights. Maintain AFVS Military Data Team’sSharePoint sites, ensuring all sites managed in accordance with DBSITMS rules. Scrutinise Change Requests for AFVS Data Systems toensure any negative impacts to AFVS data including its managementand governance are identified. Support AFVS/SSCL in delivering DQby Design (DQbD) in any changes to promote improved DQ. Act asprimary reviewer of Data Team’s multiuser mailbox, includingtriaging messages, acknowledge receipt and forwarding to correctpoint of contact/Team member to answer. Support monitoring of dataobligations in Service Delivery Contract (SDC) to ensure DBSreceive value for money and benefit of incumbent Business Partner.Attend/participate AFVS data and technical meetings, datagovernance forums when required. Cover for others Data Team membersif required to support Data Team meeting their service obligations.Person specificationTechnical Requirements (Digital, Data andTechnology Professional Capability Framework (DDat)), Data AnalystRole: Analysis and Synthesis Skills (Working level) CommunicationSkills (Working level) Data Management (Working level) DataModelling, Data Cleansing, and Data Enrichment Skills (Awarenesslevel) Data Quality Assurance, validation, and Linkage Skills(Working level) Data Visualisation (Awareness level) IT andMathematics Skills (Working level) Logical and Creative ThinkingSkills (Working level) Project Management Skills (Working level)Statistical methods and data analysis skills (Working level)Essential Skills Good understanding of Data Governance and DataManagement principles as applied to business data, includingdifferent data types, data lifecycles, data quality, security andGDPR requirements. Understanding of relational databases and dataflows, including design models, system technical documentation andassociated metadata and lineage. Understanding and ability to applydata governance and management practices across data holdings anddata flows. Including identification, investigation and managementof data quality issues, their impacts, and risks to the business.Possess strong numerical and data analytics capabilities withproven expertise in investigating and tackling complex technicaldata issues following an analytical and systematic approachapplying attention to detail. Good communication skills, includingthe ability to communicate effectively at all levels on topics of atechnical & complex nature. Proficient in the use of MS OfficeProducts such as Word, PowerPoint and in particular MS Excel(advanced level). Ability to write SQL code (or willingness tolearn). Ability to thrive in a demanding environment and add valueto the team by leveraging experience, knowledge and apply soundjudgment to the business demands. Desirable Skills Knowledge andunderstanding of Military Service and Military HR. Experience ofOracle Systems (in particular, Oracle EBS, Oracle Analytics Server(OAS), Oracle Enterprise Data Quality (EDQ) and Oracle EnterpriseMetadata Management (EOMM)). Additional information:Salary:36,530Frequency: Per yearRemote Job: Fully in-personEmploymenttype: Full-time

Related Jobs

View all jobs

Defence Business Services Data Analyst

Defence Business Services (DBS) Data Analyst

Defence Digital Finance Business Partner

Operational Analyst Consultant

Defence Digital Programme Delivery Manager

Senior Business Analyst - DV Cleared, Gloucestershire

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.