Data Analyst

Harnham; Liverpool; Hybrid; GBP 41,000 - 51,000; Full time

Job summary

Harnham in the United Kingdom is seeking a Data Analyst to support workforce analytics, policy-friendly insights and decision-making. You will build complex Excel models to forecast workforce and financial outcomes, and translate business questions into rigorous analytical specifications.

This remote role requires strong Excel, Pivot Tables, VBA, and the ability to present findings to senior stakeholders, with one day per month in the Leeds office. A STEM degree is preferred.

Qualifications

• Advanced Excel modelling experience.
• Experience building complex Excel-based models.
• Strong analytical and quantitative problem-solving capability.
• Experience modelling complex workforce/financial scenarios.
• Ability to work with large datasets and extract insights.
• Excellent written and verbal communication skills.
• Experience presenting to non-technical stakeholders.
• Strong stakeholder management and relationship-building.
• Independent and able to manage competing priorities.

Responsibilities

• 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

Advanced Excel

Analytical thinking

Stakeholder communication

Quantitative analysis

Large datasets handling

Presentation skills

Independent work

Time management

Problem solving

Education

STEM degree (math/stats/economics)

Tools

Pivot Tables

Excel VBA

Macros

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.