Insight Analyst

Harnham
Leicester, United Kingdom
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 50K

Job location

Leicester, United Kingdom

Tech stack

Data analysis
Data Mining
Data Profiling
Data Warehousing
Database Queries
Python
NumPy
Power BI
SQL Databases
Freeform SQL
Pandas
Databricks

Job description

This is a hands-on Insight Analyst role with a strong focus on data modelling, SQL, and analytics engineering principles. You'll act as a key builder of analytical datasets, working within a modern data stack (including Databricks) to deliver clean, reliable data for reporting and insight generation. Alongside this, you'll support finance teams by analysing trends, identifying opportunities, and helping stakeholders make better decisions., * Design and develop robust data models using Databricks (Medallion Architecture)

  • Write and optimise complex SQL queries for data extraction, transformation, and validation

  • Build and maintain Power BI dashboards to support finance reporting

  • Use Python (Pandas/Numpy) for deeper analysis, automation, and data profiling

  • Partner with stakeholders across:

  • Accounts Payable

  • Cash Accounting

  • Commercial Services

  • Operations / Stock

Translate business requirements into analytical outputs and actionable insights

Implement data quality checks to ensure accuracy and reliability

Requirements

  • Strong SQL skills
  • Python (Pandas) experience
  • Databricks (preferable, not essential)
  • Strong stakeholder engagement and communication skills
  • Comfortable working in a fast-paced, evolving environment

Benefits & conditions

  • £45,000-£50,000

About the company

This is an opportunity to join a major UK retail organisation undergoing a significant transformation of its finance data landscape; sitting within a high-impact Finance Analytics function, you'll work on modernising data infrastructure and delivering insight across core operational areas. You'll be part of a collaborative team working closely with both Finance and Analytics, helping to shape how data is structured, accessed, and used across the business.

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