Data Analyst (m/f/d)

Flexa

Flexa, a joint venture between Enpal and Entrix, focuses on delivering cost-effective Virtual Power Plant solutions that enhance customer satisfaction and energy efficiency. The Data Analyst role is crucial in providing insights that drive strategic decisions, improve product performance, and support the shift to renewable energy. Collaborating with a dynamic team, this position plays a pivotal role in shaping market participation and innovation at Flexa.

In this role you can expect to have the responsibilities:

• Analyze data related to the performance of Virtual Power Plant algorithms to identify trends and improvements.
• Deliver critical market insights to support decision-making and innovation.
• Collaborate with product managers to align new product ideas with market needs.
• Translate insights into strategic recommendations.
• Develop and maintain dashboards to automate analytics insights.
• Present data findings clearly to internal teams and external partners.

This role comes with the following benefits:

• Virtual share options for all employees.
• Annual professional development budget of €3,000.
• Subsidized gym membership.
• Monthly public transport ticket subsidy.
• Meal allowance vouchers for working days.
• Choice of MacBook or Windows laptop and ergonomic workspace.
• Regular team events and social activities.

This role requires you to have:

• Degree in Engineering, Data Science, Mathematics, or similar fields.
• 3+ years of experience in a data analysis or research role within the energy sector.
• Understanding of energy markets and Virtual Power Plant concepts.
• Proficiency in Python and data analysis methodologies.
• Strong analytical and communication skills.

You would benefit from having:

• Experience in a startup or scale-up environment.
• Understanding of complex algorithms.

Flexa is committed to delivering complete residential energy systems with market integration, ensuring customer savings and satisfaction through intelligent energy asset management and real-time algorithmic solutions.