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).

Data Analyst position that would suit someone with 2-3 years’ experience post University degree in a relevant field.

• 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.

• 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.

• 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.

• 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