Application Guide

How to Apply for (Junior-) Data and Business Intelligence Analyst (f/m/x)

at IONITY

🏢 About IONITY

IONITY is a leading European network for high-power electric vehicle charging, jointly founded by major automotive manufacturers. The company is at the forefront of transforming long-distance EV travel into a seamless and sustainable experience, operating in a high-growth industry with a clear mission to accelerate the transition to e-mobility.

About This Role

As a Data & Business Intelligence Analyst, you will own the development and evolution of a robust data platform that directly influences strategic decisions across the company. This role combines technical depth with business instinct, allowing you to build scalable models, machine learning solutions, and impactful dashboards that drive real-world impact in a fast-moving environment.

💡 A Day in the Life

A typical day might start with a stand-up meeting with the Market & Business Intelligence team to prioritize tasks, followed by deep-dive work on building a new data model or refining a Power BI dashboard based on feedback from commercial stakeholders. After lunch, you might collaborate with product teams to define key metrics for a new feature, and end the day by exploring a new data source or technology to strengthen the data infrastructure.

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Interview Prep

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🎯 Who IONITY Is Looking For

  • A curious problem-solver with strong technical skills in data modeling, advanced analytics, and machine learning, who can translate business questions into actionable data projects.
  • Proficient in Power BI for creating user-friendly dashboards that communicate insights effectively to diverse stakeholders.
  • Comfortable working in a dynamic, high-growth startup environment, with a proactive mindset to identify and implement new technologies.
  • Collaborative and communicative, able to work closely with commercial, product, and technical teams, and report directly to the Head of Market & Business Intelligence.

📝 Tips for Applying to IONITY

1

Tailor your resume to highlight specific projects where you built data platforms or scalable models, emphasizing the business impact.

2

In your cover letter, mention your experience with Power BI and provide examples of dashboards you designed that influenced decision-making.

3

Showcase your ability to work cross-functionally by describing a time you collaborated with non-technical stakeholders to solve a business problem.

4

Demonstrate curiosity and a passion for EV/clean energy by mentioning relevant industry knowledge or personal interest in e-mobility.

5

Prepare a portfolio or case study of a data project that includes both technical execution and business outcomes, ready to share if asked.

✉️ What to Emphasize in Your Cover Letter

["Emphasize your ability to turn strategic questions into analytical models and data-driven projects, aligning with IONITY's mission.", 'Highlight your experience with building scalable data infrastructure and modernizing data environments.', 'Showcase specific examples of creating impactful Power BI dashboards that drove insights at different organizational levels.', "Express enthusiasm for the EV industry and IONITY's role in transforming long-distance travel, connecting your personal values to the company's vision."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Research IONITY's current charging network, expansion plans, and key partners (e.g., automotive brands) to understand their business model.
  • → Look into the European EV charging landscape, including competitors (e.g., Fastned, Tesla Superchargers) and regulatory trends.
  • → Familiarize yourself with the company culture and recent news, such as funding rounds or technological innovations (e.g., high-power charging stations).
  • → Review IONITY's public data or reports on charging usage patterns to identify potential data challenges they might face.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you approach building a data platform from scratch or evolving an existing one?
2 Describe a time you used machine learning to solve a real business challenge – what was the outcome?
3 Walk us through a Power BI dashboard you created: what was the business question, how did you design it, and what insights were gained?
4 How do you prioritize which data projects to work on when multiple stakeholders have competing requests?
5 What do you know about IONITY's market position and the challenges in EV charging data analytics?
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⚠️ Common Mistakes to Avoid

  • Avoid generic cover letters that don't mention IONITY or the EV industry specifically.
  • Don't focus solely on technical skills without demonstrating business acumen and the ability to communicate insights to non-technical stakeholders.
  • Steer clear of exaggerating experience with data platforms or machine learning if you haven't owned such projects end-to-end; be honest and highlight learning agility.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to IONITY!

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