Data Analyst - SQL, Excel, Power BI/Tableau, Python/R
Posted 4 days ago by Experis UK
£30 Per hour
Inside
Undetermined
Cheltenham, England, United Kingdom
Summary: Data Analyst position requiring 2-3 years of experience post-University degree in a relevant field. The role involves supporting digital transformation initiatives, managing reporting tools, and collaborating with various departments to provide data insights. Key responsibilities include data collection, analysis, and visualization using SQL, Excel, and BI tools. The position is based in Cheltenham and is a 12-month contract.
Key Responsibilities:
- 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.
- Gathering data from primary and secondary sources (databases, surveys) and scrubbing it to ensure accuracy and consistency.
- Identifying, analyzing, and interpreting trends or patterns in complex data sets using statistical methods.
- Developing visualizations, dashboards, and reports using tools like Tableau, Power BI, or Excel to make data insights accessible to non-technical audiences.
- Writing SQL queries to extract, manipulate, and structure data.
- Partnering with departments (marketing, IT, finance) to understand needs and providing evidence-based insights to support decisions.
- Identifying, analyzing, and interpreting trends or patterns in complex data sets.
Key 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.
- Strong mathematical skills for data analysis and interpretation.
- Ability to articulate complex data insights to stakeholders through reports and presentations.
- 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.
Salary (Rate): £30 per hour
City: Cheltenham
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
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