Regulatory Economics Analyst - Data-Driven Energy Strategy

Cornerstone

City of Edinburgh

Hybrid

GBP 31,000 - 40,000

Full time

14 days+

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Benefits offered by this job

Joint-contribution pension (6% / 12%)
HolidayPlus
Life assurance
Virtual GP & EAP plus discounts

Job summary

SGN is seeking a Regulatory Economics Analyst in Edinburgh to join the Regulation team. You will analyse operational, financial and regulatory data, translate insights into business decisions and help shape future regulatory discussions and submissions.

You’ll develop specialist skills in benchmarking and statistical analysis, work with colleagues across the business, and apply analytical modelling to understand performance drivers and how regulation influences outcomes.

Qualifications

  • Curiosity, analytical thinking and problem-solving approach.
  • Interest in how businesses operate and what drives performance.
  • Graduate or early-career professional in a quantitative discipline.

Responsibilities

  • Work with diverse datasets to understand factors affecting costs and performance.
  • Support benchmarking and performance analysis against other gas networks.
  • Investigate trends and present findings clearly to stakeholders.
  • Develop analytical tools and models to inform regulatory decisions.
  • Collaborate with experts to interpret results.
  • Support research into regulatory and industry issues.
  • Help prepare evidence for price control reviews.

Skills

Numerical analysis
Analytical thinking
Data interpretation
Excel proficiency
Data visualization
Problem solving

Education

Economics or quantitative degree
Mathematics or Statistics degree
Business Analytics or Finance degree

Tools

Power BI
R
Stata

Job description

SGN is seeking a Regulatory Economics Analyst in Edinburgh to join the Regulation team. You will analyse operational, financial and regulatory data, translate insights into business decisions and help shape future regulatory discussions and submissions.

You’ll develop specialist skills in benchmarking and statistical analysis, work with colleagues across the business, and apply analytical modelling to understand performance drivers and how regulation influences outcomes.

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