Data Analyst - SQL, Excel, Power BI/Tableau, Python/R

Data Analyst - SQL, Excel, Power BI/Tableau, Python/R Data Analyst - SQL, Excel, Power BI/Tableau, Python/R The location of the role is Cheltenham. The duration of the contract is 12 months. The pay rate on offer is £20 - £30 per hour via PAYE (37 hours per week). Summary Data Analyst position that would suit someone with 2-3 years’ experience post University degree in a relevant field. Key Activities • Provide support to all activities related to digital transformation • Support Business change manager to run an effective operating rhythm with reports and dashboard preparation • Support initiatives to automate and digitize processes, identify opportunities of simplification and optimization, track and document business data sources • Track and administer digital transformation projects and other improvement activities run across the campus • Manage digital reporting tools and dashboard; support implementation of digital tools • Research and definition of the potential future data analytics strategy for Engineering Operations • Engage cross functionally facilitating process reviews / improvements and building relationships across the organisation. Essential Responsibilities • Data Collection & Cleaning: Gathering data from primary and secondary sources (databases, surveys) and scrubbing it to ensure accuracy and consistency. • Data Analysis: Identifying, analyzing, and interpreting trends or patterns in complex data sets using statistical methods. • Reporting & Visualization: Developing visualizations, dashboards, and reports using tools like Tableau, Power BI, or Excel to make data insights accessible to non-technical audiences. • Database Management: Writing SQL queries to extract, manipulate, and structure data. • Stakeholder Collaboration: Partnering with departments (marketing, IT, finance) to understand needs and providing evidence-based insights to support decisions. • Process Improvement: Identifying, analyzing, and interpreting trends or patterns in complex data sets. Qualifications / Requirements • Technical Skills: Proficiency in SQL and database management. Experience with analytical tools (Python, R, SAS) is often required. Expertise in Excel and visualization tools (Tableau/Power BI) is essential. • Analytical Skills: Strong mathematical skills for data analysis and interpretation. • Communication: Ability to articulate complex data insights to stakeholders through reports and presentations. • Education: A degree in mathematics, statistics, computer science, or economics is common. Desired Characteristics • Driven and motivated to get involved in projects • Organised & able to work to deadlines • Strong verbal and written communication skills • Able to take ownership for projects • Strong Analytical and problem-solving skills • Proficient in Microsoft Office • Able to work as part of a team