Data Analyst

CompanyHarnham

LocationLeicester, England, United Kingdom

Posted At1/23/2026

UK Visa Sponsorship Analytics

Occupation Type

Data analysts

Occupation Code Skill LevelMedium Skilled

Sponsorship Salary Threshold

£41,700 (£21.38 per hour)

Standard minimum applies

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Description

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 (currently 60-70% of workload) 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.