SHORT FACTS

With our AI-powered, fully automated optimization and trading platform for flexible energy assets — from grid-scale batteries to virtual power plants — we ensure that energy is stored when it’s abundant and released into the grid when it’s needed. By actively trading electricity, we help stabilize the grid and maximize returns for asset owners, accelerating the transition to a clean energy future.
To drive the smart and sustainable energy future, we are looking for a forward-thinking and experienced Staff Energy Data Analyst to lead Entrix’s analytics initiatives, shape company-wide learning from data, and contribute to the success of our core product.
Short Facts:
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Location: Munich, Germany

• Employment Type: Full-Time, indefinite term
• Salary Range: €100,000 – €115,000 gross per year, depending on experience
• Working mode: Office setup
• Language Requirement: C1 English (German is a plus)

YOUR CONTACT IN OUR PEOPLE TEAM

Your contact person is Nagihan Bal (nagihan.bal@entrixenergy.com)
If you have any questions, feel free to send us an email at talent@entrixenergy.com
We are looking forward to receiving your application!

YOUR RESPONSIBILITIES

As a Staff Data Analyst, you will play a leading individual contributor (IC) role in shaping Entrix’s analytics strategy, driving cross-functional alignment, and amplifying business impact through data. While you won’t manage people directly, you will act as a technical leader, mentor, and trusted advisor, guiding others through expertise, collaboration, and influence.

KEY RESPONSIBILITIES:

• Lead product & market analytics: Analyze trading algorithm performance, market behavior, and system optimization to drive measurable business impact and enhance overall product performance.
• Drive strategic insights: Partner with leadership on data-driven decision-making, providing actionable recommendations that shape Entrix’s product roadmap and business priorities.
• Mentor & lead: Guide and support analysts and peers through mentorship and technical leadership, fostering a culture of analytical excellence without formal people management
• Align cross-functional analytics: Coordinate analytics efforts across teams, ensuring consistent methodologies, clear ownership, and effective collaboration across product, engineering, data science, and commercial domains.
• Enable data-driven learning: Develop and maintain analytics frameworks, KPIs, and tooling. Ensure insights are embedded into processes, promoting continuous learning and operational excellence.
• Engage with customers & partners: Present findings to external stakeholders, tailoring insights to support customer success, business development, and strategic partnerships.