Data Analyst

Data AnalystWarwickshire - (Hybrid) Salary: Up to £40,000 + BenefitsWe'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.Required 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 pipelinesCommercial 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.If you are an experienced Data Analyst and this sounds like your next role, apply today!