Finance Data Analyst
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
Apply To This Job
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
Apply To This Job