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Report Modeller & Developer

Job in Milton Keynes, Buckinghamshire, MK1, England, UK
Listing for: Daimler Trucks North America LLC
Full Time position
Listed on 2026-07-30
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 60000 - 95000 GBP Yearly GBP 60000.00 95000.00 YEAR
Job Description & How to Apply Below

Description

Closing Date: 31 August 2026

About us

At Mercedes-Benz Financial Services, our employees are at the heart of our business. Our colleagues provide a range of financial solutions designed around the changing needs of our diverse customers. It doesn’t matter the colour of your skin, the beliefs you value, the people you love or the tattoos you wear, we support you for being you.

Through the doors of Mercedes-Benz Financial Services, you will find a passionate team working to support our customers and our colleagues. We ensure that everyone has an equal opportunity to learn and develop.

We want to celebrate your individuality, embrace your personality and welcome you into our culture. It’s the differences of our colleagues that enable us to thrive. We believe our backgrounds, skills and cultures contribute to our shared culture and help us deliver outstanding Customer Experience. Inclusion is the driving force behind our ethos.

At MBFS, we are proud to be a Menopause Friendly Accredited Employer, reflecting our ongoing commitment to creating a supportive and inclusive workplace. We offer wellbeing support options and resources for colleagues experiencing menopause and to those who are supporting someone through it.

How you’ll play your part

In this role, you will work closely with Finance, MI, Data Governance, IT and wider business stakeholders to translate business requirements and user stories into robust data models, semantic layers, calculations, measures, KPIs and reporting outputs. The role will support operational interfaces, aggregated data files, regulatory and operational reporting, and analytical use cases.

We are looking for a hands‑on data professional with strong expertise in Databricks, Azure Data Factory, SQL, Power BI, DAX and data modelling techniques. The role will contribute to the migration from the existing data warehouse and Cognos reporting environment into the new Azure Data Lake, helping to create scalable, trusted and reusable data assets for MBFS. The role will also provide line management, coaching and mentoring to one Data Apprentice, supporting their development while strengthening data capability across the MI team.

Main Accountabilities

Design and deliver data models and schemas for each new data source tranche selected for the strategic Data Lake solution, aligned to agreed user stories and business priorities.

Define and build calculations, measures, Critical Data Elements, KPIs and data quality criteria that support trusted reporting, operational interfaces and analytical outputs.

Develop data models and schemas for new Finance dashboards, ensuring consistency, scalability and reusability across the MI reporting landscape.

Support the migration of relevant data sources and associated Cognos reports from the existing Data Warehouse to the new Azure Data Lake.

Create and maintain semantic layers that enable business users and data analysts to consume data consistently and efficiently.

Work with Data Governance to define, document and manage common data modelling components, standards and ownership principles.

Identify opportunities to enable advanced analytics, machine learning and AI through well‑structured, high‑quality data models.

Finance & MI Team Reporting Activity:

Partner with MI team members to improve reporting efficiency through enhanced data models, automation and common reporting logic.

Review the current reporting catalogue to identify duplication, common Critical Data Elements and opportunities for simplification.

Provide operational cover and technical support to the wider MI team where required.

Develop and maintain Finance and Controlling MI reports using Power BI, Power BI Report Builder, Cognos or other agreed tools.

Contribute to improvements in data governance, data quality, reporting standards, data literacy and user training across MBFS UK.

Use Databricks, Azure Data Factory and SQL to support data engineering delivery where required, working closely with the wider Data Engineering team.

Contribute to, and influence, the overall data architecture and solution design for MI deliverables.

Navigate the MBFS IT landscape to progress delivery, including…

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