Pensions Data & Reporting Analyst - Hybrid

Pensions Data & Reporting Analyst - Hybrid

Full-Time 37000 - 37000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Support accurate reporting of pensions data and prepare scheme accounts.
  • Company: Join UK Power Networks' in-house pensions team in Crawley.
  • Benefits: £37,000 salary, 7.5% bonus, 25 days leave, and a contributory pension.
  • Other info: Collaborate with Finance, HR, Payroll, actuaries, and auditors in a dynamic environment.
  • Why this job: Make an impact by providing insights from complex data in a vital sector.
  • Qualifications: Analytical skills and attention to detail are essential.

The predicted salary is between 37000 - 37000 £ per year.

UK Power Networks is seeking a Pensions Analyst to join our in-house pensions team in Crawley.

You will support the accuracy and reporting of member, scheme and financial data, prepare pension scheme accounts and provide insights from complex data.

This permanent role offers a 37,000 salary with a 7.5% bonus, 25 days leave plus bank holidays, a contributory personal pension, and a range of benefits.

You will work closely with Finance, HR, Payroll, actuaries and auditors.

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Pensions Data & Reporting Analyst - Hybrid employer: UK Power Networks (Operations) Ltd

UK Power Networks (Operations) Ltd is an exceptional employer that values innovation and collaboration within its HR team. Located in the vibrant area of Elephant and Castle, London, employees benefit from a supportive work culture that prioritises professional development and offers numerous growth opportunities in the engineering sector. With a commitment to enhancing service quality and employee satisfaction, this role provides a meaningful chance to make a significant impact in the recruitment process.

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Contact Details:

UK Power Networks (Operations) Ltd Recruitment Team

We think you need these skills to ace Pensions Data & Reporting Analyst - Hybrid

Data Accuracy
Reporting Skills
Pension Scheme Accounting
Data Insights
Financial Data Analysis
Collaboration with Finance
Collaboration with HR