Location: Cheltenham Job Type: Contract Industry: Business Transformation Job reference: BBBH437020_1776347034 Posted: about 7 hours ago
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
1. Provide support to all activities related to digital transformation
2. Support Business change manager to run an effective operating rhythm with reports and dashboard preparation
3. Support initiatives to automate and digitize processes, identify opportunities of simplification and optimization, track and document business data sources
4. Track and administer digital transformation projects and other improvement activities run across the campus
5. Manage digital reporting tools and dashboard; support implementation of digital tools
6. Research and definition of the potential future data analytics strategy for Engineering Operations
7. Engage cross functionally facilitating process reviews / improvements and building relationships across the organisation.
Essential Responsibilities
8. Data Collection & Cleaning: Gathering data from primary and secondary sources (databases, surveys) and scrubbing it to ensure accuracy and consistency.
9. Data Analysis: Identifying, analyzing, and interpreting trends or patterns in complex data sets using statistical methods.
10. Reporting & Visualization: Developing visualizations, dashboards, and reports using tools like Tableau, Power BI, or Excel to make data insights accessible to non-technical audiences.
11. Database Management: Writing SQL queries to extract, manipulate, and structure data.
12. Stakeholder Collaboration: Partnering with departments (marketing, IT, finance) to understand needs and providing evidence-based insights to support decisions.
13. Process Improvement: Identifying, analyzing, and interpreting trends or patterns in complex data sets.
Qualifications / Requirements
14. 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.
15. Analytical Skills: Strong mathematical skills for data analysis and interpretation.
16. Communication: Ability to articulate complex data insights to stakeholders through reports and presentations.
17. Education: A degree in mathematics, statistics, computer science, or economics is common.
Desired Characteristics
18. Driven and motivated to get involved in projects
19. Organised & able to work to deadlines
20. Strong verbal and written communication skills
21. Able to take ownership for projects
22. Strong Analytical and problem-solving skills
23. Proficient in Microsoft Office
24. Able to work as part of a team