Data Analyst

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

Job summary

Harnham in the United Kingdom is seeking a Data Analyst to join a role at the intersection of workforce strategy, analytics, and policy. You will deliver analyses that influence workforce planning, pay frameworks, and long-term strategy, working with senior stakeholders.

The role requires advanced Excel, strong problem-solving, and the ability to translate business questions into analytical models. It offers remote work with one day a month in Leeds and opportunities to develop methodologies.

Qualifications

• STEM degree in mathematics, statistics, economics, or related field.
• Advanced Excel, Pivot Tables, VBA/macros.
• Experience modelling complex business, workforce, or financial scenarios.
• Experience with large datasets and extracting insights.
• Excellent written and verbal communication and ability to present to non-technical stakeholders.
• Ability to work independently and 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 like growth, attrition, and inflation.
• Analyse large datasets to identify trends, risks, and opportunities.
• Translate business 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 ongoing development of analytical methodologies and best practices.

Skills

Analytical thinking

Stakeholder communication

Quantitative problem solving

Data modelling

Attention to detail

Independent work

Education

STEM degree in mathematics, statistics, economics, or related field

Tools

Excel (Advanced)

Pivot Tables

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.