Business Data Steward – Corporate Lending

Lloyds Bank Deutschland

Berlin

Hybrid

EUR 60,000 - 80,000

Full time

14 days+

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Benefits offered by this job

30 days of holiday
Flexible working models
Attractive social benefits
Employee Assistance Programme
Free fruit, nuts, and drinks
Lease-a-bike programme

Job summary

A renowned financial institution in Berlin is seeking a Business Data Steward to enhance data handling in Corporate Lending. Responsibilities include maintaining data quality, performing checks, and providing analytical support for decision-making. Ideal candidates have experience in financial data analytics, strong SQL skills, and familiarity with BI tools like Power BI or Tableau. The role offers a supportive environment with flexible working models and an international team.

Qualifications

  • Experience in data analysis or business analytics within a financial institution.
  • Strong SQL skills and experience with BI tools such as Power BI or Tableau.
  • A solid understanding of data flows, structures, and interfaces.

Responsibilities

  • Ensure data quality within the Corporate Data Domain.
  • Perform data-quality checks and coordinate corrective actions.
  • Own and maintain key data elements, definitions, and business rules.

Skills

Data analysis or business analytics
Strong SQL skills
Experience with BI tools
Detail-oriented and analytical
Stakeholder engagement
Business professional English

Tools

Power BI
Tableau

Job description

Business Data Steward – Corporate Lending (m/f/d)

We are hiring a Business Data Steward to strengthen our data capabilities within Corporate Lending and Credit Risk.

In this role, you will work closely with business teams, take responsibility for data quality and data definitions, and support analysis, reporting, and decision‑making in a Corporate Banking environment. You will help improve how data is structured, understood, and used across the business.

This role is well‑suited for someone who enjoys working close to the business, feels comfortable taking responsibility for data topics, and likes improving structures in a hands‑on way.

What you will work on:
  • Ensuring data quality within the Corporate Data Domain
  • Performing data‑quality checks and coordinating corrective actions
  • Owning and maintaining key data elements, definitions, and business rules
  • Analysing client, product, portfolio, and risk data to support business decisions
  • Designing and improving dashboards and reports
  • Documenting data sources, definitions, and data flows
  • Acting as a primary contact for data‑related topics and supporting projects and change initiatives
What you bring:
  • Experience in data analysis or business analytics within a financial institution, ideally with exposure to Corporate Lending
  • Strong SQL skills and experience with BI tools such as Power BI or Tableau
  • A solid understanding of data flows, data structures, and interfaces
  • A structured, detail‑oriented, and analytical working style
  • Confidence in working with stakeholders across different functions
  • Business‑professional English (German or Dutch is a plus)
What we offer:
  • An international, diverse team with colleagues from more than 50 countries
  • 30 days of holiday plus 24 and 31 December as non‑working days
  • Flexible working models, including flexitime, part‑time options, and extensive home‑office arrangements
  • Opportunity to work remotely from other EU countries for up to 30 days per year
  • Attractive social benefits, including a company pension scheme and capital‑formation contributions
  • Employee Assistance Programme with a confidential 24/7 support helpline
  • Additional benefits such as sports activities, free fruit, nuts, and drinks
  • Employer contributions to a BVG job ticket and a lease‑a‑bike programme
  • An informal corporate culture – no dress code and a company‑wide “Du” culture
  • A strong learning culture with opportunities to continuously develop your professional skills
  • Modern, centrally located offices, close to shops and restaurants with employee discounts
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