Data Analyst
Listed on 2026-10-26
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IT/Tech
Data Analyst, Business Intelligence, Data Engineering
Up to £40,000 + Benefits
We're supporting an innovative SaaS EdTech business in their search for a Data Analyst to join their growing team in Warwickshire. This is an excellent opportunity for a data-driven professional who enjoys turning complex datasets into meaningful insights.
You’ll work across the business to help improve decision-making, optimise product performance, and support the delivery of a market-leading platform used within the education sector.
Working closely with stakeholders across Product, Operations, Customer Success, and Leadership teams, you'll play a key role in developing reporting capabilities, enhancing data quality, and driving business improvements through analytics.
As their Data Analyst, you’ll:- Collect, analyse and interpret data from multiple business and product sources to generate actionable insights.
- Design and maintain dashboards and reports using Power BI to support business decision-making.
- Develop and monitor KPIs, ensuring stakeholders have visibility of business performance.
- Build and optimise ETL processes using Python and Power Query.
- Identify trends, patterns and opportunities through detailed data analysis.
- Support data-driven initiatives across product development, customer engagement and operational performance.
- Collaborate with stakeholders to understand reporting requirements and deliver analytical solutions.
- Ensure data accuracy, consistency and governance standards are maintained.
- Help drive continuous improvement in reporting, automation and data processes.
- Maintain compliance with GDPR and PII regulations when handling and processing data.
Skills & Experience:
- Previous experience in a Data Analyst or similar analytics-focused role.
- Strong SQL skills with experience querying and manipulating large datasets.
- Skilled using CRM-related data and pipelines
- Commercial experience using Python for data analysis and ETL processes.
- Strong Power BI and data visualisation experience.
- Excellent analytical and problem-solving skills with the ability to translate data into business recommendations.
- Experience building and maintaining ETL pipelines using Python and Power Query.
- Strong stakeholder communication skills, with the ability to present findings to both technical and non-technical audiences.
- Experience working within a SaaS, EdTech or technology-focused environment is desirable.
- Exposure to cloud-based data platforms.
Salary up to £40,000, Hybrid with 2-3 days per week in the office, Clear career development opportunities as the company continues to grow.
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