Trainee Data Analyst Elevation Programme

About the ProgrammeThe Elevation programme is designed to help you live and breathe our principles. Youll discover what it means to think without limits own it be relevant and be the next champion of commercial retail. This is a unique opportunity to deliver tangible product performance for the UKs biggest sports retailer.What youll doYear 1:Exposure to Commercial / Retail / Digital / Warehouse analytical functions through dedicated rotations working in the heart of each department.Each rotation youll be exposed to advanced analytical techniques data modelling data best practice and will be given the opportunity to be at the forefront of AI adoption and innovation for a leading retailer.The objective of year one is to understand how a product flows throughout the business from a physical perspective and a data perspective.Year 2:Youll use your new technical skillset with a rounded business knowledge to specialise in a particular analytical function while being accountable for high value projects across the entire organisation.Your DevelopmentTo support your journey towards becoming a future leader youll have:Early access to our Leadership and Management Training programmeExclusive insights from senior leaders across Frasers GroupContinuous professional development designed to accelerate your careerQualifications : QualificationsValid working rights for the UKNo degree required but any degrees disciplines are considered1 year work experience in any industry (if no degree)GCSE grade A*-C (or equivalent) in Maths & EnglishSkillsThe ability to put commerciality at the forefront of your decision makingWe are looking for people with a real passion for retail spotting customer trends and helping us push the boundaries within this industry.Inquisitive and technical mindset with strong problem solving skills.Additional Information : One-year free accommodation as well as subsidised food and laundryDiscounted gym membership20% discount across our brands including Sports Direct Jack Wills FLANNELS Everlast GAME Frasers and many moreFrasers Champion A peer-nominated recognition scheme where winners receive double pay for one month. This award celebrates individuals who have demonstrated exceptional behaviours by thinking without limits owning their actions and staying relevant.Frasers Festival  an event like no other Our Frasers Festival is our celebration for Head Office and Retail Staff across the UK and Europe hosting a MEGA brand village guest speakers from the worlds biggest brands evening entertainment the ultimate Frasers Fearless Fitness Challenge and much more.Employee WelfareFrasers Fit  Our Everlast Gyms Team are on a mission to make our workforce the best and fittest on the planet We run free gym classes for employees as well as discounted memberships to our clubs. Frasers Fit is our wellbeing programme which aims to support and improve colleagues Physical Financial & Mental wellbeing. The app is accessible employees and includes training nutrition and lifestyle advice- all completely free.Retail Trust  We know that its not just about physical health mental wellness is equally important which is why all our employees get free access and support from the Retail Trust charity. This includes a 24-hour wellbeing helpline wellness hub counselling and financial/legal support.Selection ProcessApplication Review (response within 30 days)Online Assessment (Analytical skills logic values)Video interview (showcase your fearless qualities)Onsite assessment centre at Shirebrook HQ (March 2026)Offered issued in AprilProgramme starts Sept 2026 with an immersive orientation week.Additional InformationWe are unable to accept applications from candidates on dependent VISAs Student Tier-4 VISAs Tier-2 Skilled worker VISAs or those holding a post-Study work VISA. Please apply only if you have permanent UK working rights.Remote Work : NoEmployment Type : Full-time Key Skills Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics Experience: years Vacancy: 1