Data Analyst

Harnham; Bournemouth; Hybrid; GBP 28,000 - 46,000; Full time

Job summary

Harnham is seeking a Data Analyst to join a high-impact team at the intersection of workforce analytics and policy. You will build models, forecast outcomes, and translate complex questions into actionable insights for senior stakeholders.

You should be proficient in advanced Excel, VBA, and statistical thinking, with experience handling large datasets and presenting clear recommendations. This remote role with occasional Leeds presence supports evidence-based decisions across pay, workforce

Qualifications

• Advanced Excel modelling and forecasting experience.
• Experience with large datasets and analytical tooling.
• Ability to translate business questions into analytical specifications.
• Excellent written and verbal communication.
• Experience presenting to non-technical stakeholders.
• STEM degree in maths/statistics/economics or similar.

Responsibilities

• Deliver workforce, pay, and reward analyses to support strategic decisions.
• Build and maintain Excel-based models to forecast workforce and financial outcomes.
• Develop cost modelling for pay proposals, policy changes, and workforce initiatives.
• Create scenario analyses and long-term forecasts with variables like growth, attrition, and inflation.
• Analyse large 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 insights to senior stakeholders.
• Collaborate with policy teams and external stakeholders to support evidence-based decisions.
• Contribute to the development of analytical methodologies and best practices.

Skills

Advanced Excel

Pivot Tables

VBA

Data Modelling

Statistical analysis

Stakeholder management

Communication

Problem solving

Independent working

Attention to detail

Education

STEM degree (math/stats/economics)

Tools

Excel

VBA

Job description

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.