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Senior Data Analyst, Operations

Job in 1000, Amsterdam, North Holland, Netherlands
Listing for: Fastned
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 65000 - 85000 EUR Yearly EUR 65000.00 85000.00 YEAR
Job Description & How to Apply Below

Join Fastned at the forefront of Europe’s electric vehicle and charging infrastructure revolution! As we rapidly expand our charging network across Europe, the opportunity to attract and serve more EV drivers is growing fast. To accelerate this growth, we are looking for a Data Analyst who will build mission critical data infrastructure that our products can rely on to deliver WOW to a growing number of EV drivers!

Fastned is a pioneer in a completely new industry so together with the team you will be creating innovative solutions to drive the business forward.

Together with 400+ colleagues from over 45 nationalities, spread across 10 countries, we drive change in the energy transition. What sets us apart is our focus on reliability, sustainability and clean energy. We have been awarded “Best Charging Network” in the UK, France, Switzerland and the Netherlands, further establishing Fastned as a leading player in the field.

Your role

We are looking for a Senior Data Analyst in Amsterdam to deepen our understanding of the dynamics of our business, optimize decision making, help improve our processes, and bring transparency to our business performance. You will support the company in delivering one of our core objectives: improving our customer experience.

In this role, you will join our Data & Insights team and be responsible for driving data‑driven decision making within our Operations and Energy teams
, as well as cross‑functionally around Customer Experience
.

As we are a small team, this role is an end-to-end Data Analyst role
: it’s not only about uncovering insights and communicating them to your stakeholders, but also about building solid data foundations for facilitating analysis & automation in the future
, whether it’s for ourselves, for our analysts community or for AI!

It’s therefore important that you enjoy getting your hands dirty
! This means turning any amount and format of data into compelling and actionable insights, as well as thinking about automation and scalability of your assets (dashboards, analysis, data models…) and brainstorming about improvement opportunities with Data Engineers. Our Operations data is particularly complex
: we receive plenty of data points from the different assets installed in our stations (chargers, solar panels, cameras, etc) and turning them into actionable metrics requires proper attention to detail and architectural thinking
.

What you’ll do
  • Support business teams in defining their goals in a quantitative manner and in understanding how they are progressing;
  • Support your stakeholders in evaluating the effect of actions in the past and to set the right priorities for the future;
  • Drive process changes to ensure we collect data in a way that makes it actionable for our business teams;
  • Present findings to drive decisions;
  • Build reports, visualizations and dashboards to monitor performance;
  • Improve our data pipelines and data models to facilitate access to more complex data sources;
  • Unlock automation capabilities thanks to data;
About you

You are a generalist, who both enjoys exploring data and conveying actionable insights but also enjoys the technical side of the role and loves brainstorming around how we can make analysts more efficient.

Additionally, you tick the following boxes:

  • Degree a technical field (engineering, economics, statistics or similar);
  • 5+ years of experience;
  • Full proficiency with SQL;
  • Strong stakeholder management experience;
  • Prior experience with a data transformation tool like dbt, Dataform or SQLMesh;
  • Prior experience with a BI / dashboard building tool;
  • Comfortable with basic statistical concepts;
  • Basic knowledge of Python or R;
  • You regularly use AI to accelerate your work and you love brainstorming around how you could do more;
  • (Nice‑to‑have) Basic AI Engineering understanding;
  • (Nice‑to‑have) Previous experience in the Energy, Mobility or EV industry;
  • (Nice‑to‑have) Previous experience working closely with Operations or Customer Support teams;
  • (Nice‑to‑have) Previous experience working in a fast‑paced and fast‑changing environment;
Benefits

We work hard to change the world, but we don't forget to recognize and celebrate our successes, big and small. We…

Position Requirements
10+ Years work experience
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