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