CE Range Data Analyst
Employer · Tesco Careers
Business analyst
Systems analystFlexibleFull-timeBudaörs
Tesco is looking for a Data Analyst to join their team in Budaörs. You will be responsible for providing the most relevant range and space cascade recommendations for each cluster and store, supporting the business by delivering accurate, comprehensive reports and insightful analysis.
Tasks
- Providing range & space recommendations using the best internal & external insights and settings that helps to provide the most relevant range cascade for each category, store format, cluster and store during Category Reset and range reviews.
- Supporting the Cascading tool development by providing expertise and learnings from categories managed in past.
- Supporting Category Reset teams and CE Space team during range or space work by tuning the results, uploading new insights or by solving problems during the work
- Analysing the final range or space amended by Reset team or Space which then can be used as a learning for the future
- Continuously improving the range cascade tool as per actual business requirements
- Proactively sharing learnings across region
- Managing and update proper error/issue management for every automated CE SRD processes
- Keeping up to date detailed user guide for the tool
- Support SRM development program and project managers as per actual development plan by providing required data and reports
- Supporting Range Transformation program by checking the logic behind calculations and providing feedback
Conditions & benefits
FLEXIBILITYFlexible home office policy.CAREER AND PERSONAL GROWTHCareer progression, personal and professional development in a dynamic environment.COLLECTIVECompany and team level events organized multiple times a year.HEALTHY LIFESTYLECafeteria benefit scheme, fruit in the workplace, workshops and seminars.AND THOSE USUAL BITS AND PIECESLaptop, cell phone for personal use, 15% discount on shopping at Tesco, yearly bonus, health insurance and much more.
Requirements
- University education
- Min. 1-2 years of relevant working experience
- Upper-intermediate level of English language knowledge
- Microsoft Office, SQL is a must
- Knowledge in data analysis & data visualisation
- Understanding the basic principles of Machine Learning
- Able to work in a dynamically changing environment
- Willingness to learn new systems
- Good presentation and communication skills
- Nice to have: Python, VBA, Tableau knowledge