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

Apply Now

Assistant Data Analyst

Cardiff
21 hours ago
Create job alert

Your new company
An award-winning finanical services company based on the the outskirts of Cardiff.

Your new role
Working as an Assistant Data Analyst you will be respobsible for the following

Data Transitions

Assist in the pensions data and administration aspects of new scheme take-ons.
Assist to ensure accurate membership data and scheme information is recorded and maintained in line with client agreements.
Assist to identify potential pensions data problems or difficulties and implement agreed solutions.
Work with the wider data services and pension administration teams to ensure all aspects of the administration take-on are delivered within relevant timeframes.
Prepare and load into P3 administration system, once checked by more senior members of the data services teamProjects

Assist in the creation and workflow of both ad hoc and annual pension administration projects to ensure completion within specified timescales, to the required standards, and HMRC compliance. To include:
Pension Increases
Record Keeping Testing/Maintenance and Improvement
Annual benefit statements
Renewal data loads
Annual allowance calculations
GMP Reconciliation/Rectification and Equalisation
Letter/Calculation Automation
Running pre-programmed and ad-hoc data extracts
Communication

Ensure pensions data tasks and projects are completed within the required timeframes and meet the required quality standards for example:
Liaise as necessary with internal staff contacts
Provide Data Services Manager/ Lead Data Analysts with regular workflow updates and raise awareness of any issues which may require their input e.g., opinion, intervention, action or decision.
Technical Knowledge

Keep up to date with technical/legislative changes and how they may impact necessary calculations or project workflow.
Standardisation

Assist the Lead Data Analysts to provide clear, consistent and accurate information to employers and/ or members in the most efficient manner, for example by maintaining and updating standard documents where appropriate.
General

Record and retain data in accordance with the business procedures and specifically in line with the compliance procedures manual and the Firm's information security policies including data protection legislation requirements.
Undertake all required training to develop relevant personal knowledge, capability and skills, pursuing qualifications relevant to the role.
Demonstrate up to date knowledge is maintained through ongoing professional development and document in line with internal procedures.
Adhere to all stated policies and procedures relating to, compliance, health and safety, and quality management etc.Additional Responsibilities (List of other duties that post holder may be required to undertake from time to time)

Support the Data Services Manager with the implementation of any required changes, ensuring minimum disruption to core activities when appropriate.
Assist with business audits to identify risks and/or non-compliance with legislative, regulatory, and quality management (ISO9001) requirements.
What you'll need to succeed
Recommended Qualifications:

Educated to A level or equivalent, preferably Maths/STEM
Pensions qualifications (PMI/QPA etc) are desirable but not essential.
Special Skills, Aptitude, Disposition & Abilities:

Good interpersonal skills
Confident in use of Excel and very numerical
High level of confidentiality
Good planning and organisational skills
Flexible / adaptable
Proactive / self-motivated
Enthusiastic, honest and reliable.
What you'll get in return
This is a superb role to start your career in Data Analytics. The starting salary is £24,600 per years, plus benefits including 24 days per year plus bank holidays. This will rise to £26,300 per year in May 2026. 37.5 hours per week, Monday to Friday. Hybrid working is available for this role. You will be expected to be in the office 2-3 days per week once you have completed your probation period, for the first three months you will be fully office-based during the training phase. This role is based on the outskirts of Cardiff, car ownership is recommended due to the location.
Please note - you will need to successfully pass a credit check and DBS check as part of the onboarding process.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Related Jobs

View all jobs

Finance Data Analyst (Hybrid) – Excel & Supplier Data

Alpha Data Services – Data Analyst, Assistant Vice President

Assistant Manager, Data Analytics...

Senior Data Analyst (Supply Chain / Sourcing), Wakefield

Junior Data Analyst Apprenticeship

Asset Data Analyst (Engineering Background) - Reading, Berkshire...

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.