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Finance Business Intelligence Analyst

Daimler Truck

Milton Keynes

Hybrid

GBP 80,000 - 100,000

Full time

Today
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Job summary

A leading automotive company is seeking a Data Analyst in Milton Keynes to automate processes, enhance data integrity, and provide insights for effective financial management. Reporting to the Head of Controlling, you will consolidate data from various sources, develop dashboards, and collaborate with teams for improved decision-making. The role requires advanced skills in Power BI, SQL, and financial data analysis. This is a full-time hybrid position requiring two office days each week.

Qualifications

  • University degree required.
  • Advanced skills in Power BI including DAX and Power Query.
  • Ability to query and structure financial data in SQL.

Responsibilities

  • Identify and automate manual repetitive processes using BI tools.
  • Consolidate data into structured datasets for analysis.
  • Develop dashboards for visibility into key financial metrics.

Skills

Business Intelligence
SQL
Power BI
Data Visualization

Education

University Degree
Accountancy qualification (desirable: CIMA, ACCA or ACA)

Tools

Excel (Mastery, including Macros / VBA)
Power Automate
SAP (CO-PA & FI)
Job description
Overview

Sitting within our Finance and Controlling team here at Daimler Trucks UK we have an exciting Data Analyst (Finance) opportunity waiting just for you. Reporting into the Head of Controlling you will play a pivotal role within the Controlling department by transforming manual fragmented processes into streamlined data-driven solutions that enhance operational efficiency and decision-making accuracy. By leveraging advanced data manipulation and visualization techniques the analyst will consolidate financial and operational data into actionable insights supporting robust forecasting planning and performance analysis. This role is critical in driving automation improving data integrity and enabling timely reporting aligned with FP&A objectives ultimately empowering leadership with the tools needed for strategic and agile financial management.

Responsibilities
  • Process Automation & Efficiency Improvement: identify manual repetitive processes within the Controlling function and design automated workflows using BI tools (e.g. Power BI, SQL, Excel, VBA). This includes streamlining data collection validation and reporting procedures to reduce cycle times and improve operational efficiency.
  • Data Integration & Transformation: consolidate data from multiple sources (ERP systems spreadsheets operational databases) and transform it into structured reliable datasets. Ensure data consistency and readiness for analysis enabling more accurate financial planning and performance tracking.
  • Reporting & Visualization: develop and maintain dynamic dashboards and reports that provide clear visibility into key financial and operational metrics. These visualizations support monthly reviews, variance analysis and strategic decision-making, ensuring stakeholders have access to timely and actionable insights. Constantly updating and improving.
  • Forecasting & Planning Support: collaborate with FP&A teams to contribute to budgeting forecasting and scenario modelling by providing data-driven inputs and tools. Build models that reflect business drivers and trends to improve forecast accuracy and agility in planning cycles.
  • Stakeholder Collaboration & Insight Generation: work closely with Controlling, Finance and Operational teams to understand business needs and translate them into analytical solutions. Act as a bridge between data and decision-makers, proactively identifying opportunities for cost optimization, revenue enhancement and strategic improvements.
Qualifications
  • University Degree (Mandatory)
  • Professional / Advanced Power BI (Incl. DAX Power Query Power Pivot)
  • Databases (SQL): ability to query databases and structure financial data efficiently
  • Excel Mastery: Financial modelling and Macros (VBA)
  • Power Automate
  • SAP (CO-PA & FI) desired
  • Accountancy qualification desired CIMA ACCA or ACA

This is a full time hybrid role where you would be required to work from our head office based in Milton Keynes a minimum of two days a week in the office.

What’s next

Closing date 7 December 2025

Once you click apply we’ll take you through to the Daimler Truck careers portal. Here you’ll need to complete a short application form attach your current CV. Simple.

Don’t forget to follow us on LinkedIn @Daimler Trucks UK Ltd.

Data Protection

We care about your personal data. The General Data Protection Regulation provides you with more control and by submitting an application to us; we consider this to be an agreement to process your personal data in support of our recruitment and selection process.

Data categories that we process in relation to your application are the ones that you provided as part of the application process. We process your personal data in relation to the application in accordance with the legal requirements. Recipients of your personal data within our company are the managers of the specialist unit in charge of filling the position and the responsible colleagues from HR.

Your application data is held within our secure application tracking system called Oracle HCM you will be given access to a candidate zone in this system where you can monitor and manage your application and see status updates. We will communicate with you by email or phone throughout the recruitment process so that we can keep you updated and inform you of your progress through the recruitment process. You can also seek job alerts once you are registered in Taleo and it’s possible your details may be returned in searches we conduct for new positions and we may contact you by email to let you know about them. We limit the storage of your data to the necessary period. Contact us for further information.

If you have any questions about any matter relating to data protection or the personal data that we process about you for the purpose of personnel recruiting please contact the Chief Officer of Corporate Data Protection for the Daimler Group at the following address: Daimler AG HPC Stuttgart.

Required Experience : IC

Key Skills

Business Intelligence, Cognos, SQL, Power BI, QlikView, Data Visualization, SSRS, Tableau, SSIS, Data Modeling, Data Warehouse, Data Analysis Skills

  • Employment Type: Full-Time
  • Department / Functional Area: Finance
  • Experience: years
  • Vacancy: 1
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