Senior Data Analyst FIN-OPS

Senior Data Analyst Fin-Ops

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• Eneco - Rotterdam

• > 5 years

• 32 - 40 uur

• Data & AI

• €80.000 - €115.000

Senior Data Analyst Fin-Ops

• Eneco - Rotterdam

• Data & AI

• > 5 years

• €80.000 - €115.000

• 32 - 40 uur

Apply

Good to know: you can easily save this vacancy using the print button at the top of the page. After the closing date, this vacancy will be removed from our website.

• Move beyond dashboards into real impact

• End-to-end ownership in a high-impact domain

• Turn complex financial operations into trusted data products

Why choose Eneco?

At Eneco, we're accelerating the energy transition through our One Planet Plan - with the ambition to be the first energy company to become climate-neutral by 2035. Data is at the heart of how we get there.

As a Data Analyst embedded in our FinOps domain, you sit where finance meets operations in Eneco Energy Trade. This is where settlement flows, certificate management, contract and master data, and back-office processes intersect - and where good data work has immediate, visible business impact.

You won't be a reporting function. You'll be a critical thinking partner for the people running these processes every day: spotting where data is missing, where definitions are inconsistent, where manual workarounds have crept in - and building the analytical foundation to fix that, for good.

What you'll do

FinOps runs some of Eneco's most operationally complex data flows. There's real analytical work to be done here: processes that need rethinking, metrics that need defining from scratch, and a team that's genuinely open to doing things differently.

You'll be fully embedded in a product team alongside a Product Manager and engineers - working in agile sprints, owning your own backlog, and shipping analytical work that has a real shelf life. Your work lives in dbt, not in spreadsheets.

Is this about you?

You're genuinely curious about how things work - and equally curious about why they don't. You get energy from understanding a broken process end-to-end and building something better. You don't wait to be handed a question; you go find it.

You're comfortable in ambiguity. FinOps is not a domain where everything is already defined - you'll need to create structure where there isn't any, and bring stakeholders along with you.

You also have:

• A Bachelor's or Master's degree in a relevant quantitative field (Data Science, Statistics, Econometrics, Business Analytics, or similar)

• Strong SQL skills - you model data, not just query it

• Hands-on experience with dbt, or a clear understanding of why business logic belongs in the transformation layer, not the visualisation layer

• Experience with Power BI or comparable dashboarding tools, and a view on what makes a dashboard actually useful

• Familiarity with cloud data platforms - Snowflake or similar

• The ability to go from a messy stakeholder conversation to a well-scoped analytical deliverable

• Strong communication skills: you can explain your findings to a finance manager and a data engineer in the same week, and adjust how you do it

• Affinity with financial or operational domains - energy trade, settlement, or back-office processes is a genuine plus

Experience with Streamlit or lightweight app development is a plus. An interest in where AI-assisted tooling is heading is welcome - we're exploring it too.

You'll be responsible for

• Investigate gaps in current financial and operational processes, and translate what you find into clear, data-driven recommendations

• Define and build metrics, KPI frameworks, and dbt models that become the single source of truth for FinOps domains - from settlement performance to certificate flows

• Own the semantic layer for your domain: business logic in code, version-controlled, auditable, and reusable

• Build dashboards in Power BI that read from your certified semantic layer - not the other way around

• Work with Streamlit to create lightweight internal tools that remove manual work and give operational teams direct access to reliable data

• Partner closely with Data Engineers on the handoff between certified data products and business-ready models - you understand both sides of that boundary

• Bring proactive insight to the product roadmap: surface patterns, flag anomalies, propose experiments

• Champion a shift-left mindset in everything you build - transparent, testable, reproducible

What we have to offer

Personal and professional growth

Eneco is fully committed to help you in your personal and professional development.

Work Where Everyone Matters

When you choose a career at Eneco, you choose ambition, growth, and opportunity in an environment where everyone matters. You're given the space to develop yourself and to do your work in a way that suits you. We believe that different perspectives, nationalities, and backgrounds make us stronger, which is why we foster an open, safe and inclusive culture. Naturally, we also prioritize a healthy work-life balance, flexible working hours, and the option to work from home when your role allows it. If you have a physical or sensory disability, we will work with you to find the right adjustments so you can perform your job well.

In this way, you work on your own future and on a sustainable future. Together with 4,000 colleagues with diverse talents and ideas, you contribute to our shared mission: climate-neutral by 2035. We help customers accelerate their sustainability journey, create innovative solutions, and seize new opportunities. Will you join us?

The phases of our application procedure

Want to know more? Reach out to our Recruiter: Marcha via [email protected] . Ready to apply? Send your cv! A motivation letter is optional but always welcome.

Meld Misbruik