{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Data Analyst – SQL, Excel, Power BI/Tableau, Python/R”, “description”: “
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
Company: Undisclosed
Location: Cheltenham
Job Description:
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
…
Posted: May 16th, 2026