The order in which job vacancies are displayed is determined by a composite score based on the following factors:
Keyword Relevance: How well your search terms match the vacancy details. We prioritize matches found in the job title, followed by job requirements, location names, and educational levels. Matches within general employer information or the organization's name carry a lower weight.
Commercial Prioritization (Premium Jobs): Vacancies paid for by employers ('Premium' or 'Sponsored') receive a ranking boost and will appear higher in the search results.
Recency (Date Relevance): Newer vacancies are prioritized. The relevance score of a vacancy is reduced by half once the posting is older than 30 days.
Proximity (Distance Relevance): Vacancies located closer to your search location are ranked higher. For vacancies located more than 30 km from the search center, the relevance score is halved.
The final ranking is established by multiplying all these individual factors to calculate the total relevance score.
Are you an analytical pensions or finance professional who enjoys working with complex data, improving controls and turning information into clear insight? UK Power Networks is looking for a Pensions Analyst to join our in-house pensions team and support the accuracy, validity and reporting of member, scheme and financial data.
Reporting to the Pensions Project Manager within the Human Resources directorate, you will play a key role in preparing pension scheme accounts, producing management information and supporting high-quality reporting across member benefit data. You will work with internal teams and external partners including Finance, HR, Payroll, administrators, actuaries, auditors, custodians and investment managers.
You will help prepare quarterly pension scheme management accounts, analyse and validate member data, support actuarial valuations and accounting disclosures, and identify trends, anomalies and opportunities to improve data quality. You will also contribute to governance, regulatory compliance, audit trails, data controls and continuous improvement activity across reporting and reconciliation processes.
This is a great opportunity to apply your pensions, accounting and data analysis experience in a role where accuracy, insight and collaboration really matter. You will be trusted to investigate data issues, present findings to non-technical stakeholders and support decision-making through clear, reliable reporting.
Permanent role based in Crawley, with blended working available after probation: 3 days in the office and 2 days remote.
£37,000 salary plus 7.5% bonus.
25 days annual leave plus bank holidays.
Personal Pension Plan with UK Power Networks contributions of 8% or 10% depending on your contribution rate.
Access to benefits including Cycle to Work, Home & Tech, Green Car Leasing, discounted gym membership, Employee Assistance Programme and retailer discounts.You will bring experience from pensions, finance, accounting or a related analytical environment, along with advanced Excel skills and the ability to work confidently with large datasets. Knowledge of SQL-based languages, data validation, reconciliation, reporting tools such as Power BI and pension scheme structures will help you succeed. Experience with DB/DC schemes, SAP, Aviary, Pensions Office, APIs or pension scheme accounting requirements would be beneficial.
If you are methodical, proactive and confident turning complex data into meaningful insight, we would like to hear from you. Apply by 09/08/2026 to join UK Power Networks as a Pensions Analyst and help strengthen the quality, integrity and reporting of our pensions data.
For more information and to view the full job description please click apply!
If you have any queries in connection to this vacancy or your application, please contact us at quoting the vacancy reference number and a member of the team will get in touch with you as soon as possible