Pensions System Calculation and Data Analyst

London
11 months ago
Applications closed

Related Jobs

View all jobs

HR System and Data Analyst - Maternity Cover

HR System and Data Analyst - Maternity Cover

HR System and Data Analyst - Maternity Cover

HR System and Data Analyst - Maternity Cover

HR System and Data Analyst - Maternity Cover

HR System and Data Analyst - Maternity Cover

Job purpose

To support the Pension & Reward Operations Manager with all aspects of the maintenance and development of the Pensions Administration System (altair).

To assist in production, management and processing of all data extracts and interfaces and to provide ongoing support to pension projects.

Principal accountabilities

To support the maintenance and development of the pension administration system (altair) ensuring accuracy of all member records, benefit calculations, letters and workflows.
Assist in the development and testing of pension system workflows, calculations and letters, including issue resolution, software release updates and change request development and implementation.
Carry-out monthly reconciliations of payroll and HR files ensuring that the pension administration system is maintained and kept up to date.
Work with the Pensions & Reward Operations Manager on all data projects (e.g. Pension Dashboard implementation, scheme data extracts, reporting, pension increases and Benefit Statements) ensuring data is provided on time and in specified formats.
Assist in production of regular interfaces to external suppliers, resolving any processing queries. Upload interfaces as required.
Work with Pensions & Reward Operations Manager to ensure that all member records are updated correctly and support the processing of annual membership movement and contribution reconciliations.
Produce management information within agreed timescales.
To take on any other duties that are within the employee's skills and abilities whenever reasonably instructed.

Scope

§ To assist in all aspects of the maintenance and development of the UK pension administration system.

§ Ensure data extracts and interfaces are provided within agreed timescales and format.

§ Contribute to the development of the day-to-day administration of the UK pension scheme, for example changes to process workflows, member communications and improvement in reporting activities, as well as project based activities.

§ To assist in the delivery of all reporting and data analytical requirement.

This describes what is required to do the job, it may not describe the current job holder but should describe the typical attributes or traits needed for success in the position.

Qualifications/ knowledge/ experience

(Technical/ professional knowledge and skills competency)

Educated to degree level

Desirable

Stong knowledge and experience of UK pension arrangements

Essential

Previous systems support experience would be an advantage

Essential

Experience with handling large volumes of personal data

Essential

Strong Microsoft Excel and Word skills

Essential

Strong understanding of manual pension benefit calculations

Essential

Analytical and problem-solving skills

Essential

Strong Microsoft Power BI skills

Desirable

Advanced SQL skills

Desirable

Advanced VBA skills

Desirable

Previous Altair/Axise (heywood) administration system experience

Desirable

Personal skills and key competencies

(including JM behavioural competencies)

Detail oriented and meticulous

Essential

Work on own initiative (as role will be primarily home-based)

Essential

Very good communication skills

Essential

High degree of numeracy

Essential

Flexible and committed and willing to take on ad-hoc tasks as required

Essential

Able to work to deadlines

Essential

Team orientated individual with good interpersonal skills

Essential

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.