Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Finance Data Analytics Graduate

Robert Bosch Group
Worcester
2 weeks ago
Create job alert
Company Description

We’re the nation’s favourite heating brand, here to warm up people’s homes, lives, and futures.

From boilers, hybrids and heat pumps to solar thermal and smart controls, we’re giving our customers plenty of choice. With cutting-edge tech and research, we’re right in the thick of the drive for a better future of home heating.

It’s not all tools and tech. People are the real heart of our company. We connect with our customers to deliver genuinely helpful support, and we care about our employees and give them enriching careers. We work hard, we work together, and we work with a cause – delivering brilliant customer support and exceptional engineering.

As an organisation of more than 1,800 employees, we also take our role in the communities we serve seriously. From giving away free heating systems for community spaces, to our charity, education, and volunteer work – we’re no strangers to rolling our sleeves up, getting stuck in, and helping out.

If that sounds like something you’d like to be a part of, we’d love to meet you.

Come and work #LikeABosch at Worcester Bosch.

Job Description

What are we looking for?

We are looking to hire an enthusiastic graduate to join our financial reporting and data analytics team. We are seeking someone who is eager to learn, displays high attention to detail & a passion for all things data and using that to influence management!

As a finance data analytics graduate, you will play an important role in supporting decision making by providing insightful data analysis to stakeholders at all levels. You will also gain experience in various areas of Finance and Controlling: including Management Accounting & Sales Controlling. This means you can produce accurate reporting and provide data and analysis for the team and management.

We are committed to maintaining data integrity and fostering a data-driven culture where information is not merely a tool but a strategic asset that underpins our efforts to support the business to make decisions effectively. As this role is part of a team that is investing in BI technologies and data analytics processes, there will always be room for new ideas to be explored and a real opportunity to make an impact and grow within the business.

This is an entry-level role, where the successful candidate will grow into these responsibilities and gradually take more ownership of the below listed areas.

Tasks include:

  • Automating processes to improve level of analysis and efficiency
  • Analyse financial data to identify trends, risks and opportunities
  • Participation in month and year end closing (reconciliations, accurate reporting)
  • Support with budget, forecasting and material cost controlling (e.g., variance-analysis)
  • Supporting management discussions with preparation of presentations and data-analysis
  • Become business partner for assigned departments
  • Liaising with stakeholders across the organisation; in the UK and in other entities
  • Special ad-hoc reporting and analysis
  • Contribute to team goals for high quality timely reporting and analysis
Qualifications

What skills should you have?

You will be a great addition to our team if you have:

  • Bachelor’s degree in Data Analytics, Finance, Economics, Accounting, or a related field
  • Excellent knowledge in Microsoft Office applications; particularly Excel (advanced functions, pivot tables etc.)
  • Analytical skills and numerical ability
  • Result focused without losing attention to detail
  • Entrepreneurial mindset to identify opportunities for improvement
  • Inquisitive and finding satisfaction in solving problems
  • Clear logical approach to problem solving
  • Ability to communicate confidently with associates at all levels
  • Pro-active approach and willingness to learn from/reflect on mistakes
  • Coping under pressure with tight deadlines

Additional experience or interests that are valued for the role:

  • Good knowledge in BI technologies and Statistics
  • Interest and knowledge in Programming and Data Science
  • Data visualisation tools (PowerBI or similar)
  • Experience in Finance or Accounting is an advantage
Additional Information

Expected Start Date: ASAP

Working Hours: 39 hours a week; Mon – Thurs 08.00 - 17.00 and Fri 08.00 - 16.00 with a 1-hour unpaid lunchbreak

Working with us comes with the following benefits:

  • 25 days annual leave per year plus bank holidays
  • Eligibility for our Company Performance Bonus (up to £1,500 gross per annum)
  • Discounts on products from across the Bosch Group
  • Access to further education through the apprentice levy
  • Hybrid working options available
  • Enhanced pension contributions
  • Access to the Perkbox and My Benefits platforms giving access to discounts, group income protection and death in service benefits
  • Subsidised onsite café and canteen
  • Health & wellbeing support including: over 200 trained mental health first aid champions, free of charge employee assistance programme and after 2 years’ service you gain eligibility for funding up to £150 per annum to support your personal wellbeing
  • Access to Bosch Social Club membership offering you and up to 5 friends and family discounts on excursions and events
  • Cycle to work scheme with discounts on push-bikes, e-bikes and accessories - depending on eligibility criteria
  • Policy to support growing families
  • Access to self-service training platform containing over 200 Bosch approved programmes
  • Networking opportunities across Bosch UK including a mentoring programme
  • And more!

Right To Work: please ensure you have valid Right To Work in the UK status for at least 2 years upon submitting an application. This is a 2-year fixed term role.

Note: This vacancy may close at any time so we encourage candidates to submit their applications promptly.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Analyst

2026 Junior Data Scientist - London

Data Strategy & Advisory Leader - Payments

Data Scientist

Quantitative Finance Risk Associate Graduate Programme 2026 Glasgow

Quantitative Finance Risk Associate Graduate Programme 2026 London

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.