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Data Analyst
Job in
West Alvington, Kingsbridge, Devon, TQ7, England, UK
Listed on 2026-09-19
Listing for:
Harnham
Full Time
position Listed on 2026-09-19
Job specializations:
-
IT/Tech
Data Analyst
Job Description & How to Apply Below
DATA ANALYST REMOTE (ONE DAY A MONTH IN LEEDS OFFICE)
UP TO £46,000
This is an opportunity to join a highly respected organisation at the intersection of workforce strategy, analytics, and policy. As a Data Analyst, you will play a key role in shaping evidence-based decisions that influence workforce planning, pay frameworks, and long-term organisational strategy. You'll work on complex analytical challenges whilst engaging with a broad range of senior stakeholders.
ROLES AND RESPONSIBILITIES:The Data Analyst will:
- Deliver workforce, pay, and reward analysis to support strategic decision-making.
- Build and maintain complex Excel-based models to forecast workforce and financial outcomes.
- Develop cost modelling for pay proposals, policy changes, and workforce initiatives.
- Create scenario analysis and long-term forecasts incorporating variables such as workforce growth, attrition, and inflation.
- Analyse large and complex datasets to identify trends, risks, and opportunities.
- Translate business and policy questions into analytical specifications and modelling frameworks.
- Produce clear reports and recommendations for non-technical audiences.
- Present findings and analytical insights to senior stakeholders.
- Collaborate with policy teams and external stakeholders to support evidence-based decisions.
- Contribute to the ongoing development of analytical methodologies and best practices.
SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
- Advanced Excel skills, including building complex models from scratch.
- Experience using formulas, Pivot Tables, charts, VBA, and macros.
- Strong analytical and quantitative problem-solving capability.
- Experience modelling complex business, workforce, or financial scenarios.
- The ability to work with large datasets and extract meaningful insights.
- Excellent written and verbal communication skills.
- Experience presenting technical information to non-technical stakeholders.
- Strong stakeholder management and relationship-building skills.
- A STEM degree, ideally within mathematics, statistics, economics, or a related discipline.
- The ability to work independently and manage competing priorities.
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