Pensions System Calculation and Data Analyst

Guidant Global
London
2 weeks ago
Create job alert

Job purposeTo 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 accountabilitiesTo 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 DesirableStong knowledge and experience of UK pension arrangementsEssentialPrevious systems support experience would be an advantageEssentialExperience with handling large volumes of personal dataEssentialStrong Microsoft Excel and Word skillsEssentialStrong understanding of manual pension benefit calculationsEssentialAnalytical and problem-solving skillsEssentialStrong Microsoft Power BI skillsDesirableAdvanced SQL skillsDesirableAdvanced VBA skillsDesirablePrevious Altair/Axise (heywood) administration system experienceDesirablePersonal skills and key competencies (including JM behavioural competencies)Detail oriented and meticulousEssentialWork on own initiative (as role will be primarily home-based)EssentialVery good communication skillsEssentialHigh degree of numeracyEssentialFlexible and committed and willing to take on ad-hoc tasks as requiredEssentialAble to work to deadlinesEssentialTeam orientated individual with good interpersonal skillsEssential

Related Jobs

View all jobs

Employee Benefits Administrator

Payroll Specialist

Deputy Payroll & Pensions Manager

Payroll Specialist

Analytics Engineering Manager

Intercompany Senior Finance Manager

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.