About us

Rabot Energy is an independent provider of dynamic electricity tariffs with 100% green energy. Through our innovative procurement strategies, we ensure both ecological sustainability and cost optimization in home energy management. By passing on wholesale electricity market prices directly to our customers, we are able to reduce their electricity bills by an average of 35%.

Owners of electric vehicles and smart meters benefit particularly from our dynamic electricity tariff, as they can automatically charge their vehicles at home when electricity prices on the exchange are especially low. In the Rabot Energy app, charging preferences can be easily set and current market electricity prices can be tracked in real time.

With our intelligent charging solutions, we actively contribute to increasing the share of renewable energy in Germany’s overall electricity consumption.

Our vision is to give every customer the opportunity to manage their energy consumption in a smart way while conserving the environment and natural resources. By offering smart charging and energy management solutions, Rabot Energy actively helps drive the energy transition forward. With this idea, we have already won the trust of over 100,000 customers.

Why Now?

The energy market is going through its biggest shift in 50 years. We no longer just manage electricity, we make it intelligent. RABOT is growing triple digits — and with every new customer, every new product and every new partnership, the amount of data we need to make sense of grows too.

Now we're taking our reporting and analytics to the next level: reliable, data-driven and built for the whole company. That's where you come in — someone who turns raw data into decisions.

Your Mission

You're the person who turns data into clarity at RABOT. You collect and model data from different sources, build dashboards and reports, and turn them into insights that teams from Commercial to Operations to Pricing can rely on.

You work closely with the departments: you understand their questions, define the right KPIs together, and translate "could we get a look at…" into solid analysis. You make sure our numbers are consistent and reliable — one shared data foundation instead of five different truths. And you think beyond the next report: you spot patterns, deliver "so what" insights and help us make decisions based on data rather than gut feeling.

Your Results

We think in outcomes, not task lists. If you're successful, here's what that looks like:

Month 3 (Ramp-up)

• You understand our data landscape and key sources and navigate them confidently.
• You've built your first dashboards and reports that a team uses right away.
• You've built relationships with the key stakeholders and know who needs which numbers.

Month 6 (Performance)

• Reliable dashboards and KPIs run across several departments, and you maintain them independently.
• You answer ad-hoc questions quickly and soundly — and your analyses feed into real decisions.
• Data quality and clean definitions are in place; teams trust your numbers.

Month 12 (Scale)

• There's a shared, reliable data foundation (a "single source of truth") for the company's key metrics.
• Recurring reporting is automated or available as self-service, so teams can help themselves.
• You're the go-to person for analytics questions and deliver forecasts and trend analyses that go beyond plain reporting.

Who We Are Looking For

• Analyst: SQL and advanced Excel are your craft. You model data and build dashboards in common BI tools (e.g. Power BI, Tableau or Looker) — with 2–5 years of experience in data, reporting or BI.
• Data detective: You find trends, opportunities and inefficiencies in large data sets that others miss — and you dig into an anomaly until you understand its cause.
• Translator: You turn business questions into analysis and analysis back into clear, understandable insights — including for non-technical stakeholders.
• Precision: Your numbers have to be right. Data quality and clean definitions aren't a nice-to-have for you, they're the foundation for everything else.
• Business thinker: You connect data to business goals and deliver "so what" insights decisions can rest on — not just reports.
• Owner: You take ownership, work in a structured way and bring order to an environment where a lot is still taking shape.

Bonus: Knowledge of Python or R, experience with ETL/data pipelines and cloud data warehouses (e.g. BigQuery or Snowflake), a basic understanding of statistics and forecasting, and experience in the energy sector or another data-heavy, regulated industry.

What We Offer

• Ownership: You help build the analytics foundation RABOT makes decisions on — with real room to shape it and a direct line to the departments.
• Room to shape: A lot is just taking shape — you influence how we work with data at RABOT rather than operating finished processes.
• Culture: Transparent collaboration. We celebrate mistakes as long as we learn from them.

Your Extras

• Employee discount on RABOT Energy electricity tariff
• Urban Sports Club partnership + Deutschlandticket

Our Contact

• jobs@rabot.energy