Data Analyst - Harnham

Overview

Fin Ops Data Analyst

Up to £47,000 | Leicester | Hybrid (4 days onsite)

We're working with a major UK retail brand to hire a Fin Ops 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.

• 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.

• 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.

• 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).

• Databricks or modern cloud data platforms.
• Experience with in a Finance team or working with financial data.
• Data warehousing knowledge.

• 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.

• 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.

• 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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