Statistical Review Data Lead

Job Title: Statistical Review Data Lead

Department: Statistical Review

Location: Central London (hybrid)

Duration: 12 Month Fixed Term Contract – ability to start work immediately, potential to extend

Working Hours: Full-time role 35 hours per week

Salary: £38,000 per annum

The EI is the chartered professional membership body for people who work across the world of energy. Our purpose is creating a better energy future for our members and society by accelerating a just global energy transition to net zero. We do this by attracting, developing and equipping the diverse future energy workforce; informing energy decision-making through convening expertise and advice;

and enabling industry and consumers to make energy lower carbon, safer and more efficient.

At the EI we endeavour to find talent that will live and breathe our values. Our employees, and our extensive network of volunteers, pursue their work in line with a set of values reflecting the culture of the organisation: we are inclusive by treating each other with care and respect; we build trust through open and professional collaboration; and we are passionate about making a difference.

A registered charity, incorporated by Royal Charter in 2003 but with a heritage dating back more than a century, the EI is licensed to offer professional registration as Chartered Energy Engineer, Chartered Environmentalist and, uniquely, Chartered Energy Manager status. It is also home to a range of collaborative initiatives, including the G+ Global Offshore Wind Health and Safety Organisation, Safety On and POWERful Women.

We are looking for a highly analytical and detail-oriented data professional with a passion for energy data and the energy transition. The ideal candidate will combine strong technical and data management skills with excellent project coordination and stakeholder engagement abilities. They will be comfortable working with large, complex datasets, managing multiple deadlines, and communicating technical information clearly to a range of audiences.

Most importantly, they will be committed to accuracy, quality, collaboration, and continuous improvement in delivering one of the world's most respected energy datasets.

This is an exciting opportunity to join one of the most globally recognised and high-profile energy statistics projects. You would have hands-on experience in helping to manage some of the key stakeholder relationships as well as improve the methodology, reporting and systems level of the global statistical review. This is a hybrid role and would require you to be in the London office two days a week.

Your tasks would include:

• Lead the end-to-end delivery of the Statistical Review of World Energy dataset, covering data processing, database management, validation, quality assurance and final publication of data outputs.
• Oversee and coordinate the data processing and validation work of an external analyst team, including KPMG and Kearney, and academic research partners covering onboarding, progress monitoring and data delivery management to meet tight deadlines.
• Own core data management processes, including maintaining the Statistical Review database, running queries, building validation checks and producing final outputs used for analysis, publishing and digital products.
• Act as a key point of contact for data-related queries, providing clear explanations of methodology, definitions, data limitations and year-on-year changes.
• Provide support for database development, optimisation and transformation initiatives, collaborating closely with internal database engineering to test and validate calculation formulas, conversion factors, and data models across relational SQL…