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Sizewell C

Data Analytics Lead

London·Hybrid·1w ago·Closes in 2 days

Salary

Competitive salary

Work type

Hybrid

Level

lead

Category

Data Leadership

About the role

Data Analytics Lead
Sizewell C’s business is to design, finance, construct, commission, operate, maintain, and eventually decommission the nuclear power plant and related infrastructure at Sizewell C in Suffolk. Overall, whilst the Company is in the construction phase, the Boards’ principal focus is on the development and construction of Sizewell C on time, on budget and to the highest quality and safety standards. The Company is maturing to meet all these requirements.

Sizewell C is economically regulated by OFGEM under the RAB model similar to other UK electricity distribution networks and Thames Tideway.

Sizewell C construction strategy is to replicate the design of Hinkley Point C, using the majority of the same supply chain, but innovating in the way it is delivered to achieve savings in time and cost of around 20%. The CCO will need to be guided by and incorporate lessons learned from the Hinkley Point C commercial delivery to achieve Sizewell C’s ambition.

Following Financial Completion and Revenue Commencement, Sizewell C is fully funded and is owned by; The Secretary of State for Energy Security and Net Zero representing HM Government, La Caisse, Centrica, EDF and Amber Infrastructure.

Data Analytics Lead

Location: Based in London on a hybrid basis with travel to Suffolk as required.

Contract: Permanent, full-time.

Salary: Competitive dependant on experience, plus benefits

Benefits include:

Annual Leave: 28 days per annum, increasing to 30 days after 5 years of service, plus bank holidays.
Bonus: 5% annual bonus.
Pension Contributions: Defined Contribution Pension Scheme with up to 7.5% employee contribution 15% employer contribution.

Closing Date: Tuesday 7th April 2026.

Sizewell C is entering an exciting phase of growth as we mature into an independent organisation and continue building one of the UK’s largest and most important energy projects.

About the Role

As the Data Analytics Lead, you will play a critical role in driving data-driven decision-making within the Sizewell C project. You will lead a team of skilled data analytics engineers and work alongside technical experts within our Data Centre of Excellence to define, build and serve the data products our business needs to thrive.

You will be overseeing a team of data analytics engineers and help to design and build a series of high-value data products for SZC and its supply chain. Working to align upstream data pipelines (data integration & engineering) with downstream data consumers (data analysts & BI developers) to unlock the value of our data. This is a fantastic opportunity for an experienced analytics professional who is passionate about leveraging data to deliver tangible results in a high-stakes environment.

About You

Previous experience in a Senior Analytics Engineering role or similar ideally with experience in large-scale infrastructure or energy projects.
Excellent problem-solving abilities with a track record of delivering actionable insights to senior leadership.
A background in working with complex, multi-disciplinary teams and projects.
Extensive experience with Kimball-style dimensional modelling (Star Schema) and data warehousing best practices. 
Proficiency in SQL and experience with performance tuning in environments such as SQL Server and Power BI. 
Expertise in building and optimizing Power BI data models, including DAX calculations and visualization best practices. 
Familiarity with Azure data services, including Data Lake and Azure Databricks. 
Experience with version control and deployment pipelines in Power BI.
Strong communication skills, with the ability to translate complex data insights into clear, actionable recommendations.
Strong leadership and team management skills, with the ability to mentor and guide data professionals.

Why Join Us?

Be part of one of the most important low-carbon energy projects in the UK.
Work in a mission-driven environment that values innovation, integrity, and long-term sustainability.
Competitive salary, comprehensive benefits, and opportunities for career development.
Flexible and hybrid working options.

Key Competencies

Behavioural Competences

Humility

Recognise the value brought from different cultures and experiences
Be open to other’s points of view and ideas, be willing to debate and to compromise

Positivity

Positively challenge poor quality and performance
Identify solutions at the lowest possible level
Encourage tier 1s and others to bring new ideas forward

Respect

Value the rules and environment in which we operate
Give and receive feedback with respect
Embrace and engage with new people and ideas

Solidarity

One team, working closely together and helping each other
Empowered teams always looking forward.
Shared responsibility for delivery the project outcomes

Clarity

Communicate clearly and consistently
Promote collaboration and team alignment
Clearer and faster decision making
Drive simplification at all levels

If this sounds like the next step in your career, we’d love to hear from you. Apply today.

When joining Sizewell C, you may wonder why you are contacted by colleagues with an EDF email or see the EDF logo on portals that you access and/or documentation you receive; this is because we have partnered with EDF for the provision of a number of support services whilst we complete a successful transition out of the EDF group.

At Sizewell C we encourage and embrace diversity and how it can improve our experience and performance at work. It is a requirement that those who join us have the right to work in the UK. Whilst sponsorship may be a possibility that we can explore, we are fully committed to local recruitment where possible, and those already holding the right to work in the UK.  

To be appointed to this role, you will need to meet the criteria for Security Vetting, which will, ordinarily, require you to have been a resident of the UK for at least three of the past five years

Tech stack

SQLPower BIAzureDatabricksDocker