Data Analyst

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.

YOUR 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.

APPLY BELOW!