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Santander
Santander
BankingConsultingInsurance
Santander is an international banking group serving retail, commercial and corporate customers across Europe and the Americas. Its business spans everyday banking, consumer and private finance, corporate and investment banking, asset management and merchant payments through platforms such as Getnet. The organization also invests in digital banking and AI-led initiatives, while maintaining a focus on sustainability, financial inclusion and investor services. Its broad operating model brings together teams working across financial products, technology, payments and banking operations.
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Data Analyst, Data & AI Domain — Santander

Manage Santander’s data portfolio, quality controls, dashboards, and delivery across the Data & AI Domain. Support data-led transformation through a hybrid role based in Milton Keynes, Bradford, or Glasgow.

GBUnited Kingdom
£54,000 – £81,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredData Analyst

Description

  • Manage and validate delivery of the CDAIO Book of Work
  • Work with Engineering teams to establish technical requirements and confirm delivery against OKRs
  • Define data-asset requirements in accordance with policies, procedures, regulations, and business goals
  • Work with stakeholders to clarify data needs and develop suitable data solutions
  • Support the timely delivery of data assets in line with the agreed architecture
  • Rank work according to the value of the relevant use cases
  • Document data assets for end users
  • Maintain the accuracy, completeness, consistency, and reliability of data
  • Locate, map, and assess golden-source data
  • Introduce data-quality monitoring and controlled processes for updates
  • Take ownership of the Domain portfolio’s integrity and daily administration
  • Keep initiative records up to date, including owners, milestones, status, dependencies, risks, decisions, capacity, costs, and benefits
  • Create and maintain dashboards, scorecards, and automated portfolio-review reporting packs
  • Produce capacity-and-demand analyses, resource scenarios, pipeline assessments, and trend reports

Requirements

  • Understand the methods, tools, and techniques used for effective data management and data-management risk identification
  • Demonstrate commercial awareness and strong stakeholder-management capability
  • Understand project-management approaches for planning, organising, monitoring, and controlling projects
  • Hold a relevant degree, apprenticeship, or equivalent professional experience
  • English-language proficiency
  • Have working knowledge of Planview and Power BI or comparable tools
  • Apply strong analytical thinking and attention to detail
  • Follow up proactively and work confidently with accountable owners
  • Turn data into concise, actionable insight
  • Work collaboratively and in an organised way, with a commitment to continuous improvement

Benefits

  • Access wellbeing partners and wellbeing applications
  • Receive discounted gym and fitness access
  • Join weekly online wellbeing classes
  • Use flexible healthcare options
  • Access mental health support
  • Receive enhanced family leave
  • Access childcare options
  • Receive tailored wellbeing support
  • Take part in volunteering opportunities
  • Pursue global growth opportunities
  • Develop your career and learn new skills
  • Work within a hybrid arrangement

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