Are you passionate about uncovering insights from data and influencing strategic decisions? UK Power Networks is seeking an insightful and driven Data Analyst to join our Workforce & Planning Analytics team at our London, Elephant and Castle office. This is your chance to support the journey to net zero, play a pivotal role in workforce optimisation, and make a tangible impact on our organisation's future.
Picture yourself at the heart of Human Resources, collaborating with experts in Analytics, HR, Finance, and Operations. Your analysis will directly inform how we plan, allocate, and optimise our workforce, ensuring we meet regulatory commitments and foster a resilient, agile organisation. As a key member of the team, you will analyse workforce and planning datasets, support forecasting and scenario modelling, maintain and enhance data pipelines, and communicate vital insights to both technical and non-technical audiences. Your contributions will enable data-driven decision-making and support long-term business planning and operational efficiency.
We're looking for candidates with proficiency in Python for data analysis, experience working with workforce, HR, or operational datasets, and the ability to present findings clearly. If you have exposure to workforce planning, resource modelling, HR analytics, or experience with databricks, you'll be a great fit. A degree in Mathematics, Economics, Data Science, or Business Analytics, along with demonstrated experience in business data analysis and reporting, is essential.
In return, we offer a competitive salary dependent on experience, a 7.5% bonus, and a comprehensive benefits package including 25 days annual leave plus bank holidays, private medical cover, reservist leave, generous pension contributions, tenancy and season ticket loans, tax-efficient schemes, occupational health support, retailer discounts, discounted gym membership, and access to our Employee Assistance Programme. The contract is fixed term for 12 months.
Ready to take the next step in your career and make a meaningful difference? Apply by 25/01/2026 and join us in powering the future of workforce planning