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!