Tesla
Data Analyst, People & Recruitment EMEA

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What To Expect
Tesla is seeking a passionate and skilled Data Analyst to join our HR & Recruitment Analytics team, delivering essential reporting, automation, and insight to empower HR and Recruitment in making data-driven decisions about our talented workforce.
You will be working together with the People Teams (Talent Acquisition, Compensation, Payroll, Recruitment Coordination, Internal Mobility, HR), Finance, Business Analytics, Business Planning, Data Engineering and Product Development, as well as senior business leaders across multiple geographies and work with multiple large datasets to compile actionable insight and drive operational excellence.
In this role, you will collaborate with the People Teams, including: HR, Talent Acquisition, Compensation, Payroll, Recruitment Coordination, Internal Mobility, as well as Finance, Business Analytics, Business Planning, Data Engineering, Product Development, and senior business leaders across multiple geographies. You will handle multiple large datasets to compile actionable insights and drive operational excellence.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
To be successful, you are a strong communicator and highly collaborative. You have a love for data and translating data into actionable insights. We expect you and your team to find creative solutions to solve tough problems, supporting Tesla’s growth and success in EMEA. Please note that only 1 role is open, based either in London or Amsterdam.
What You'll Do
- Work with multiple different personality types while managing multiple projects within a fast-paced, energetic, and dynamic workplace
- Partner with various teams within Tesla to gather requirements to create reports and analytics to enable data-driven decision making for the Talent Acquisition, HR, and other teams at Tesla
- Manage rollout of dashboards, automation solutions, and project delivery, while maintaining high-quality deliverables, data accuracy, and security
- Translate complex findings and data into a compelling and easy-to-understand narrative for audiences of various levels of seniority and familiarity with data and analytics
- Develop and maintain automated processes to reduce manual tasks and errors, optimize workflows in onboarding, offboarding, and reconciliations for improved efficiency and real-time insights


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What You'll Bring
- Exceptional communication skills with a strong team-focus and problem-solving skills
- Proven track record of building and servicing compelling reports and dashboards using Tableau, PowerBI, Qlik, or other visualization tools
- Experience with working with large datasets, and able to work with multiple data sources to clean, manipulate, blend, analyze, and present data to deliver insight and recommendations
- Solid SQL skills. Familiarity with database architecture and design as well as ETL development and T-SQL (stored procedures, prepared statements, functions)
- Experience with Power Platform and Power Apps development, or any other RPA (Robotic Process Automation)
- Python / R / other programming languages for predictive models is a strong plus
- Databricks, Docker, HTML, CSS, web app development is a strong plus
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