Data Analyst

Experis
Cheltenham, United Kingdom
2 days ago

Role details

Contract type
Temporary contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
£ 62K

Job location

Cheltenham, United Kingdom

Tech stack

Microsoft Excel
Business Analytics Applications
Data analysis
Data Visualization
Database Queries
R
Python
Microsoft Office
Power BI
SAS (Software)
SQL Databases
Tableau
Information Technology

Job description

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.

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

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