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Contact Experis

Experis

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Data Analyst - SQL, Excel, Power BI/Tableau, Python/R

Cheltenham, Gloucestershire

Experis

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Hours
Full Time
Posted
3 hours ago
Salary
£20 - 30 - Hour
Recruiter
Experis
Closes
15 Jun 2026
Course
No
Recruiter Type
Direct Employer

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. xjnqpsq

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

Ad ID: 5418188443

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