Remote Data Analyst: Workforce & Policy Analytics Lead

Harnham

Bath

Hybrid

GBP 38,000 - 46,000

Full time

6 days ago
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Job summary

Harnham is seeking a Data Analyst to join a leading organisation at the crossroads of workforce analytics and policy. The role is remote with one in-person Leeds day per month, offering up to £46,000 per year.

You will build complex Excel models, forecast workforce and financial outcomes, and translate policy questions into analytics for senior stakeholders. The ideal candidate holds a STEM degree and has strong problem-solving and communication skills, with experience handling large datasets

Qualifications

  • Advanced Excel skills and ability to build complex models.
  • Ability to translate business questions into analytical specifications.
  • Experience modelling workforce or financial scenarios.
  • Experience presenting technical information to non-technical audiences.

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 with variable inputs.
  • Analyse large datasets to identify trends, risks, and opportunities.
  • Translate questions into analytical specifications and modelling frameworks.
  • Produce clear reports and recommendations for senior stakeholders.
  • Present findings and insights to senior stakeholders.

Skills

Advanced Excel
Analytical thinking
Quantitative problem solving
Stakeholder communication

Education

STEM degree

Tools

Pivot Tables
VBA
Macros

Job description

Harnham is seeking a Data Analyst to join a leading organisation at the crossroads of workforce analytics and policy. The role is remote with one in-person Leeds day per month, offering up to £46,000 per year.

You will build complex Excel models, forecast workforce and financial outcomes, and translate policy questions into analytics for senior stakeholders. The ideal candidate holds a STEM degree and has strong problem-solving and communication skills, with experience handling large datasets

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