At a Glance
- Tasks: Transform finance with data analytics, using SQL and Sigma to drive actionable insights.
- Company: Join ENSEK, a cloud-native SaaS leader revolutionising the energy retail sector.
- Benefits: Enjoy 25 days holiday, health insurance, gym discounts, and a remote-first work culture.
- Other info: Dynamic team environment with opportunities for personal growth and community engagement.
- Why this job: Be at the forefront of data-driven finance, making impactful decisions that shape the future.
- Qualifications: Strong SQL skills and experience with financial data; curiosity and attention to detail are key.
The predicted salary is between 40000 - 50000 € per year.
About ENSEK
ENSEK builds the cloud‑native SaaS software that’s transforming how energy retailers operate, innovate and manage at scale. We help retailers lower operating costs, improve billing accuracy for consumers, and enhance customer experience through automation and AI‑driven insight, all underpinned by modern, cloud‑native architecture. ENSEK is at an exciting inflection point as we scale at pace towards new international horizons. If you’re driven by solving complex, real‑world problems and want to build modern technology that accelerates the global energy transition, you’ll feel right at home with us.
About the role
ENSEK is transforming Finance into a data-driven function — and this role sits at the core of that shift. You’ll be the go-to analytics partner for Finance, using SQL and Sigma to unlock data and enable self-serve insight. This isn’t reporting — it’s about turning data into clear, actionable decisions that drive the business forward.
Key responsibilities:
- Own Finance’s data & analytics capability — enabling true self-serve insight across the function
- Extract, transform and model financial data using SQL and Sigma, working directly from source systems
- Build high-impact dashboards and outputs that support fast, confident decision-making
- Turn data into insight — identifying trends, surfacing risks, and delivering clear commercial narrative
- Lead budgeting and forecasting support, including model ownership, actuals integration, and variance analysis
- Drive data quality, governance, and efficiency — partnering with Data teams and creating scalable, reusable solutions
Key outcomes:
- Finance can answer its own questions — with SQL-first, self-sufficient analysis replacing reliance on others
- Data is not just reported, but understood — with clear, concise narratives explaining the “why” behind the numbers
- Trends, risks, and anomalies are proactively identified and surfaced before they become issues
- Finance data is trusted — with strong ownership of data quality, definitions, and consistency
- Dashboards, models, and tooling are continuously improved — simpler, smarter, and built to scale
- AI-enabled ways of working are explored and embedded, enhancing how Finance accesses insight and makes decisions
Experience required:
- Strong SQL capability — confident writing queries across complex, multi-table data sets from scratch
- Experience with Sigma or a comparable BI tool (e.g. Looker, Mode, Metabase)
- Solid understanding of financial data (P&L, costs, headcount) and how it supports decision-making
- Experience supporting budgeting, forecasting, or financial planning processes
- Ability to translate analysis into clear, concise insight for a Finance audience
- Highly detail-oriented, proactive, and curious — with strong ownership of data quality
- Any experience with Databricks, Python, or modern data modelling tools (e.g. dbt) will be seen as desirable!
Company Benefits
- 25 days’ holiday + bank holidays
- Option to buy or sell 5 extra annual leave days per year
- Vitality Health Insurance, including private healthcare, virtual GP access, mental‑health support and wellbeing perks (50% off gym memberships - Virgin Active, Nuffield, PureGym)
- Pension with 5% matched contribution
- Regular team‑wide and company‑wide events
- 2 volunteering days per year to give back
- Remote‑first working environment with offices in London and Nottingham
Finance Data Analyst employer: ENSEK
ENSEK is an exceptional employer that champions a remote-first working environment, offering employees the flexibility to thrive while contributing to the transformative energy sector. With a strong focus on employee well-being, including comprehensive health insurance and generous holiday allowances, ENSEK fosters a collaborative culture where innovation and personal growth are at the forefront. As a Finance Data Analyst, you'll not only play a pivotal role in driving data-driven decision-making but also benefit from continuous learning opportunities and a supportive team atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Finance Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at ENSEK on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your SQL skills! Prepare a mini-project or case study that demonstrates your ability to extract and analyse financial data. Bring this along to interviews to showcase your hands-on experience.
✨Tip Number 3
Be ready to discuss real-world problems! ENSEK is all about solving complex issues, so think of examples where you've turned data into actionable insights. This will show you're aligned with their mission.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at ENSEK.
We think you need these skills to ace Finance Data Analyst
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your SQL capabilities in your application. We want to see how you can write queries and work with complex data sets, so don’t hold back on showcasing your experience!
Be Clear and Concise:When you're writing your application, keep it straightforward. We love candidates who can translate complex data into clear insights, so make sure your narrative is easy to follow and gets straight to the point.
Tailor Your Application:Take a moment to tailor your application to our job description. Mention specific experiences that relate to budgeting, forecasting, or financial planning processes, as this will show us you’re a great fit for the role.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at ENSEK
✨Know Your SQL Inside Out
Make sure you’re comfortable writing complex SQL queries. Brush up on your skills by practising with multi-table data sets, as this will likely come up in the interview. Being able to demonstrate your SQL prowess will show that you can handle the data-driven aspects of the role.
✨Familiarise Yourself with Sigma
If you haven’t already, get to grips with Sigma or a similar BI tool. Prepare to discuss how you’ve used these tools to create impactful dashboards and insights. Having examples ready will help you illustrate your experience and how it aligns with the company’s needs.
✨Understand Financial Data Fundamentals
Since the role revolves around financial data, ensure you have a solid understanding of P&L, costs, and headcount. Be ready to explain how these elements support decision-making. This knowledge will be crucial in demonstrating your fit for the position.
✨Prepare to Discuss Real-World Applications
Think about specific instances where you’ve turned data into actionable insights. Be prepared to share examples of how you identified trends or risks and the impact of your analysis. This will showcase your ability to drive business decisions through data.
