Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Pension System Calculation and Data Analyst

Empresaria Group plc
London
4 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst Team Leader

Claims Data Scientist

Claims Data Scientist

System Optimisation Data Analyst

Senior Data Analyst - NESO

Senior Data Scientist

Hiring: Pension System Calculation & Data Analyst | Permanent | London (Hybrid)


Are you aPensions Analystwith a knack for systems, calculations, and data? We’re working withour client, a leading organisation, to find a skilledPension System Calculation and Data Analystto join their team on apermanentbasis.

This is a fantastic opportunity to play a key role in maintaining and enhancing a major UKpension administration system (Altair), supporting complex benefit calculations, and driving critical pension data projects forward.


Key Responsibilities:

  • Maintain and develop thepension system (Altair)— ensuring member records, letters, and workflows are accurate.
  • Conduct and supportpension calculationsand benefit statements.
  • Lead data extracts and interface processes, ensuring timely and accurate delivery.
  • Perform monthly payroll/HR reconciliations and system updates.
  • Collaborate on key projects such as thePensions Dashboard, data reporting, and scheme analytics.
  • Troubleshoot system issues, support releases, and drive continuous improvement.


Skills:

  • Experience inUK pensions administration, with solid understanding ofmanual pension benefit calculations.
  • Proficient inExcel,SQL,Power BI, andVBA.
  • Familiarity with theAltair (Heywood)system is highly desirable.
  • Analytical, detail-oriented, and comfortable working independently (home-based).
  • Strong communication and problem-solving skills.


Qualifications:

  • Educated to degree level.
  • Proven track record in pensions systems or as aPensions Data Analyst / Pensions System Analyst.
  • Experience managing and working with large sets of sensitive personal data.



If you're interested we’d love to connect, please feel free to send your most recent CV to my email at .

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.