{"id":3645587,"url":"https://alion.io/job/pep-online-data-analyst-retail-media","title":"Data Analyst: Retail Media","company":{"id":2593855,"name":"PEP Online","domain":"pepstores.com","url":"https://alion.io/company/pepstores","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"MCI DirectHire","truth_index":{"grade":"B","score":80,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":8,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Google BigQuery","optional":false},{"name":"Google Workspace","optional":false},{"name":"Looker","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-07-27T12:00:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-10T17:52:08Z","board_verified":true,"closed_at":null,"days_open":106,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":105},"description":"Job Description\nWe are looking for a Data Analyst: Retail Media to join one of the most exciting new growth areas in PEP.\nPEP Media is where customer data, supplier partnerships, campaign performance and commercial opportunity come together. This role will help turn PEP’s customer, retail and campaign data into powerful insights that support audience planning, supplier reporting, campaign measurement and better business decisions.\nThis is a great opportunity for a curious, commercially minded analyst who wants to help build something new, not just report on what happened, but help shape how PEP Media grows at PEP.\nWhy Join Us?\nBe part of a brand-new and fast-growing Retail Media capability at PEP.\n\nWork with customer, campaign, loyalty, product and supplier data in a modern analytics environment.\n\nHelp suppliers and internal teams understand what works, what customers respond to, and where the next opportunity lies.\n\nWork with tools such as BigQuery, Vertex AI, Looker Semantic and Google Workspace.\n\nJoin a team where your insights can directly influence campaign planning, audience targeting and supplier conversations.\n\nKEY RESPONSIBILITIES\nAnalyse customer, campaign, loyalty, product, supplier and Retail Media data.\n\nDeliver insight packs, reports and recommendations that answer real business questions.\n\nSupport customer profiling, audience sizing and descriptive segmentation.\n\nBuild and maintain trusted reports, dashboards and reusable data assets.\n\nPerform data validation, reconciliation and QA checks to ensure outputs are accurate and reliable.\n\nSupport campaign planning, supplier reporting, performance tracking and measurement outputs.\n\nProvide data extracts and analysis to support the Measurement & Performance Analyst.\n\nTranslate business questions into clear, practical and easy-to-understand insights.\n\nIdentify trends, opportunities and risks from customer and campaign data.\n\nJob Requirements\nEducation and Experience\n\nBusiness degree with Analytical/Commercial subjects (e.g., Computer Sc., Maths, Eng.)\n\n3-5 years’ experience in data analytics or a related data-driven role.\n\nExperience developing reports, dashboards and descriptive analysis.\n\nExperience working with customer, campaign, loyalty, product, supplier or Retail Media data.\n\nExperience translating business questions into analytical outputs and recommendations.\n\nTechnical Skills\n\nBigQuery SQL.\n\nAdvanced Excel / Google Workspace.\n\nData visualisation tools such as Looker Studio.\n\nData extraction, transformation and analytical table creation.\n\nData cleaning, enrichment, validation and reconciliation.\n\nCustomer, campaign, loyalty, product and supplier data analysis.\n\nDescriptive analytics, audience profiling and segmentation.\n\nKnowledge and understanding of POPIA.\n\nSoft Skills\n\nStrong analytical thinking and problem-solving ability.\n\nCommercially curious and able to spot opportunities in data.\n\nClear communicator who can explain insights in simple business language.\n\nHigh attention to detail and commitment to quality.\n\nProactive, self-motivated and able to take ownership.\n\nComfortable working across business and technical teams.\n\nAbility to 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