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