Overview
FinOps Data Analyst
Up to £47,000 | Leicester | Hybrid (4 days onsite)
About The Role
We're working with a major UK retail brand to hire a FinOps Data Analyst for their Finance Analytics team. You'll provide analytical support and reporting solutions across multiple finance functions, working closely with SQL engineers and Finance stakeholders.
This hands-on role uses SQL and Python daily to explore data, identify trends, and deliver actionable insights that drive financial decision-making. The team is modernising their data platform with Databricks and Medallion Architecture, giving you exposure to cutting-edge technologies.
Key Responsibilities
* Build analytical solutions and reporting across 4 finance areas: Accounts Payable, Cash Accounting, Commercial Services, and Operations.
* Perform SQL-based data exploration, validation, and transformation.
* Use Python (Pandas/Numpy) for analysis, automation, and data profiling.
* Build Power BI dashboards to visualise financial metrics.
* Support ad-hoc analysis by exploring trends and anomalies.
* Engage with stakeholders to gather requirements and deliver analytical outputs.
* Contribute to self-service analytics and data literacy initiatives.
Current Projects
* Databricks Modernisation: Exposure to Databricks as the team builds Gold Standard Medallion Architecture.
* Self-Service Analytics: Reducing ad-hoc queries by building reusable assets.
* BAU Finance Support: Ongoing analytics across AP, Cash Accounting, Commercial Services, and Operations.
* Analytical Automation: Using Python/SQL to streamline recurring finance analysis.
* Future ML/AI: The team will explore machine learning applications in finance analytics.
Requirements
Essential
* Strong SQL (querying, joins, CTEs, window functions, data profiling).
* Python for data analysis (Pandas, Numpy).
* Power BI experience (dashboard creation, no heavy DAX required).
* Strong analytical mindset and communication skills.
* Onsite presence: Able to work in Leicester 4 days/week (5 days for the first 3 months).
Desirable
* Databricks or modern cloud data platforms.
* Experience within a Finance team or working with financial data.
* Data warehousing knowledge.
What You'll Get
* Salary up to £47,000.
* Exposure to modern data tech (Databricks, Medallion Architecture).
* ML/AI exposure as the team evolves.
* Hybrid working (4 days onsite after initial training).
* Career development in a major UK retailer.
Interview Process
* Stage 1: Informal discussion with Analytics Manager (45 mins, virtual).
* Stage 2: In-person assessment (3 hours total).
* 2 hours: Analytical task using SQL/Python on a provided dataset.
* 1 hour: Discussion reviewing your approach and reasoning.
Working Arrangements
* First 3 months: 5 days/week onsite for training.
* After 3 months: 4 days/week onsite, 1 day remote.
This is a fantastic opportunity for a Data Analyst looking to specialise in Finance analytics while developing skills in modern data platforms and ML/AI.
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