{"id":202008,"url":"https://alion.io/job/barclays-lead-data-analyst","title":"Lead Data Analyst","company":{"id":12541,"name":"Barclays","domain":"home.barclays","url":"https://alion.io/company/barclays-uk","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":155,"ghost_share":0,"stale_share":0.368,"repost_share":0.103,"time_to_fill_p50_days":16,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Glasgow, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":74000,"max_usd":135000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":32},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-04T16:26:29Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-25T15:42:50Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":50},"description":"Job Description\nPurpose of the role\nTo enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.\nAccountabilities\nInvestigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement\nDesigning and building data pipelines to automate data movement and processing.\nApply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.\nThrough data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.\nDesign and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.\nVice President Expectations\nTo contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..\nIf managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..\nIf the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others..\nOR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..\nAdvise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.\nManage and mitigate risks through assessment, in support of the control and governance agenda.\nDemonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.\nDemonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.\nCollaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.\nCreate solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.\nAdopt and include the outcomes of extensive research in problem solving processes.\nSeek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.\nAll colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.\nJoin our team as a Lead Data Analyst, where you will play a key role in enabling data-driven transformation across the bank. The ideal candidate will have strong experience in Agile analysis, stakeholder engagement and banking products, with the ability to translate complex business needs into scalable data solutions, uncover valuable insights through advanced analytics, and deliver meaningful outcomes through effective collaboration with business, technology and product teams.\nTo be successful as a Lead Data Analyst you must have the following essential skills:\nStrong Requirements Engineering & Agile Analysis: Eliciting, validating and documenting BRDs/FRDs/user stories, Backlog refinement, feature mapping, supporting testing, Working within Agile frameworks\nDomain Expertise in any banking stack: Core Banking, Onboarding, Payments, FX, Liquidity and Cash Management etc. Having worked in a data mesh world or understanding concepts around data as a product.\nAgile Ceremonies & SAFe Program Events: Strong proficiency in writing epics, capabilities, features, and user stories with acceptance criteria that meet Definition of Ready/Definition of Done.\nSome other highly valued skills may include:\nExposure to Broader Banking Product Stacks: Payments domain deep-dive, Core banking systems, ETL / reporting flows, Integration with middleware (Kafka, MQ, file-based patterns)\nTechnical Awareness & Analytical Tools: SQL/data interpretation, Understanding of data models, interfaces and system behaviour, Ability to support issue triage (defects, test cycles)\nRisk Management & Regulatory Awareness: Risk & Controls, Regulatory Reporting, Liquidity Risk\nYou may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.\nThis role is located in our Glasgow 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