Econometrics Manager

Bord Gais Energy Ltd

Windsor, United Kingdom
Not specified; not specified; not specified
Hybrid (circa 2 days per week in the office)
Marketing mix modelling experience
Python programming skills
Econometrics and statistics expertise
Bord Gais Energy Ltd is seeking an Econometrics Manager to join their Data Science team, focusing on Marketing Mix Modelling and data analytics to drive strategic decision-making. The ideal candidate will possess strong analytical skills, experience with large datasets, and proficiency in Python and econometric techniques, while being part of a culture that values flexibility and employee well-being

Job Summary

  • This position sits within Centrica's Data Science team dedicated to measuring and improving business strategy effectiveness.
  • You will build robust econometric and MMM models to translate complex analysis into actionable recommendations for senior stakeholders.
  • The role offers a hybrid working arrangement with approximately 2 days per week in the office located in Windsor & London UK.

Matching Summary

Match Score: 85

Bord Gais Energy Ltd is seeking an Econometrics Manager to join their Data Science team, focusing on Marketing Mix Modelling and data analytics to drive strategic decision-making. The ideal candidate will possess strong analytical skills, experience with large datasets, and proficiency in Python and econometric techniques, while being part of a culture that values flexibility and employee well-being.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Marketing Mix Modelling experience
  • Python programming skills
  • Econometrics and statistics expertise
  • Regression and machine learning modelling
  • Large dataset analysis capabilities

Nice-to-have

  • Strong stakeholder communication skills
  • Experience with Microsoft Office suite
  • Ability to manage multiple projects
  • Attention to analytical rigour
  • Commercial awareness of marketing levers

Key Requirements

  • Proven experience in Big Data analysis
  • Solid Python skills for data manipulation
  • High proficiency with Microsoft Excel and PowerPoint

Work Rights

Not specified

Tailored Resume

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