Trainee Data Analyst (apprenticeship)

Reading, ENG, GB, United Kingdom

Job Description

Basis


Full time

Job category/type

Central Functions

Date posted


29/10/2025

Job reference


REQ003224



Trainee Data Analyst (Apprenticeship)




Location:

Reading

Employment Type:

Fixed Term - 18-Month Apprenticeship, Full Time

Grade:

Associate

Hybrid

REQ003224


About XPS Group:





XPS Group is a prominent UK consultancy and administration firm within the pensions and insurance sectors. As a FTSE 250 company with over 2000 employees, we leverage expertise alongside advanced technology to serve over 1,400 pension schemes and their sponsors. Our goal is to foster a workplace where diverse talents thrive.


About the Role:





Our objective as a the XPS Groups legal team is to educate, guide, protect and drive legal compliance in all aspects of our business. XPS is looking to expand its function and are seeking to hire an Apprentice Data Analyst with hybrid working arrangements. The position is a fixed-term 18-month apprenticeship with a paid salary, working closely with our Legal and Procurement Teams. The primary office location will be Reading, with required visits to the London office.


Key Responsibilities:





As a Data Analyst Apprentice, you will support the team with:


Managing our contract repository, including updating records, flagging issues, and producing reconciliation reports. Providing access to systems and training colleagues on their functionality. Supporting administrative tasks related to data and contract management as required. Analysing data to identify trends and patterns, utilising AI where applicable. Creating reports, dashboards, and visualisations to present insights. Collaborating with other departments to provide data analysis services. Identifying opportunities for process improvement and greater efficiencies Ensuring data compliance and security, adhering to company policies and legislation. Due to the changing nature of the business, the job holder may from time to time be required to undertake other activities of a similar nature that fall within their capabilities.



Your Profile:


Essential:




Willingness to complete the Applied Data and AI Specialist Apprenticeship Course (Level 4) Strong organisational skills Strong attention to detail A self-starter with a can-do attitude Strong Maths and English GCSE or equivalent Knowledge and experience of Microsoft Office products such as Word, Excel and Outlook An interest in data analysis and emerging technologies such as AI.



Qualifications:




A Level in IT or Computer Science



Desirable:




Familiarity with data analysis tools or platforms (e.g; Power BI or similar).



What We Offer:





Enjoy a competitive salary, annual discretionary bonus, and 25 days' holiday with buy/sell flexibility. Benefits include pension matching, healthcare plans, life assurance, and retailer discounts. We support our team with a flexible benefits scheme, employee assistance, and digital GP service. Participating in volunteering events is encouraged with paid volunteer days available. Referral bonuses are offered for introducing suitable candidates to XPS.


How to Apply:





Interested candidates should submit applications below or contact recruitment@xpsgroup.com. Join XPS Group and contribute to a dynamic and inclusive workplace.


Equal Opportunity Statement:





XPS Group is committed to diversity and equal opportunities. We welcome applications from all candidates, irrespective of sex, race, disability, sexual orientation, religion, or belief. As a Disability Confident employer, we ensure accessible and supportive work settings for all employees.


Eligibility:





Any employment offer made will be conditional upon you satisfying DBS Disclosure checks, Employment or educational references, Satisfactory credit checks and eligibility to work in the UK before an offer can be made. XPS Group is not able to provide sponsorship to employees.


Who are we:





To find out more please visit: www.xpsgroup.com

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Job Detail

  • Job Id
    JD4329956
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Full Time
  • Job Location
    Reading, ENG, GB, United Kingdom
  • Education
    Not mentioned