Senior Data Analyst - Asset Operations

At Eneco, we are accelerating the energy transition. With our ambitious
One Planet Plan
, we aim to be the first energy company to become climate neutral by 2035. That means no more reliance on fossil fuels — and a full focus on smarter, cleaner, and more resilient energy systems.

To make this possible, we are transforming how we measure and steer our Mission-Critical chain — the end-to-end system connecting our assets, finance, and trading operations. This chain underpins both the reliability and profitability of Eneco’s Virtual Power Plant (VPP) and Trading stack.

By joining this initiative, you’ll directly shape how Eneco monitors, understands, and improves the performance of its MC ecosystem — enabling data-driven decisions at every level, from operational teams to the CEO.

We’re seeking a
Senior Data Analyst to drive analytics for the Mission-Critical (MC) performance domain within Eneco’s Tech organization.

You will create a trusted performance framework that links operational reliability, forecast accuracy, and trading results to financial and strategic outcomes. Working in close collaboration with Product, Tech, Finance, and Trading stakeholders, you’ll develop the single source of truth that drives structured business reviews and continuous improvement initiatives.

This is not a dashboarding role — it’s a high-impact analytics position that combines strategic thinking, technical depth, and business acumen to drive tangible results.

• Developing and maintaining the single source of truth for Mission-Critical performance across Assets, VPP, Finance, and Trade, ensuring scalability, consistency, and data quality.
• Translating vague or evolving business questions into clear, measurable analytics deliverables and guiding stakeholders in problem definition, prioritization, and success measurement.
• Acting as a strategic partner to the Product Manager in defining health metrics (KPIs, OKRs, or North Star metrics), challenging assumptions, and ensuring these metrics are visualised and tracked effectively in dashboards.
• Identifying and discovering new metrics and reliable data sources based on business requirements within Eneco’s data landscape and collaborating with Data Engineers to design and build the required data models and pipelines.
• Sharing regular actionable insights with stakeholders across Assets, VPP, Finance, Trade, and Product, including leadership, to drive informed decisions and continuous improvement.

You’re a data-driven problem solver who thrives in ambiguity and is motivated by measurable impact. You’ve likely worked in a
startup or scale-up environment where you built clarity from uncertainty and delivered results fast.

You’re comfortable diving deep into complex data, connecting dots across systems, and influencing senior stakeholders with clear, actionable insights.

Additionally, you have:

• A bachelor’s or master’s degree with a strong quantitative or technical focus.
• 5+ years of experience in data analytics, analytics engineering, or product analytics.
• Advanced proficiency in
  SQL
  and experience with
  dbt
  or similar data-modelling tools.
• Experience in data visualization and dashboarding, preferably in Power BI
• Experience working in
  cloud environments
  such as Snowflake, or Databricks.
• Proven ability to connect operational metrics to commercial outcomes.
• Strong communication and storytelling skills, including experience presenting to leadership.
• Experience in energy, forecasting, trading, or performance analytics is a strong advantage.

Would you like to learn more about this vacancy?
Please reach out to
Marcha Crompvoets
, Corporate Tech Recruiter, via:

• Shape Eneco’s path to climate neutrality by building the single source of truth that powers mission-critical decisions across Assets, Trading, and Finance.
• High-impact, strategic analytics role where you influence everything from real-time operations to board-level performance steering — not just dashboards.
• End-to-end ownership in a complex energy ecosystem, connecting operational reliability and forecasting accuracy directly to commercial and financial outcomes.