Santander
Santander
Santander एक अंतरराष्ट्रीय बैंकिंग समूह है, जो पूरे यूरोप और अमेरिका में खुदरा, वाणिज्यिक और कॉर्पोरेट ग्राहकों को सेवाएँ प्रदान करता है। इसके कारोबार में दैनिक बैंकिंग, उपभोक्ता और निजी वित्त, कॉर्पोरेट और निवेश बैंकिंग, परिसंपत्ति प्रबंधन तथा Getnet जैसे प्लेटफ़ॉर्म के माध्यम से मर्चेंट भुगतान शामिल हैं। संगठन डिजिटल बैंकिंग और एआई-आधारित पहलों में भी निवेश करता है, साथ ही स्थिरता, वित्तीय समावेशन और निवेशक सेवाओं पर ध्यान बनाए रखता है। इसका व्यापक परिचालन मॉडल वित्तीय उत्पादों, प्रौद्योगिकी, भुगतान और बैंकिंग संचालन के क्षेत्र में काम करने वाली टीमों को एक साथ जोड़ता है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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