{"id":4036244,"url":"https://alion.io/job/mars-analyst-walmart-analytics","title":"Analyst, Walmart Analytics","company":{"id":94439,"name":"Mars","domain":"mars.com","url":"https://alion.io/company/mars","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":74,"ghost_share":0,"stale_share":0.905,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bentonville, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-10T20:20:46Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T20:20:46Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description:\nRole Overview\nThe Data Scientist Analyst, Walmart Analytics will transform customer, shopper, sales, and operational data into actionable insights that accelerate growth for Mars and Walmart/ Sam’s Club.\nThis role combines data science, business analytics, and commercial acumen, partnering with Sales, Category, Supply, Finance, and other cross-functional teams to identify opportunities, improve decision-making, and build scalable analytics solutions.\nWhat are we looking for?\nBachelor's degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field, or equivalent experience.\n2+ years of experience in data science, business analytics, sales analytics, category management, or a related analytical role.\nStrong analytical and problem-solving skills with experience working with large, complex datasets.\nAdvanced Excel skills and experience with Power BI or similar visualization tools.\nWorking knowledge of SQL, Python, Databricks, or similar analytical tools.\nStrong communication and data-storytelling skills, with the ability to translate complex analysis into actionable business recommendations.\nAbility to work collaboratively in a fast-paced, cross-functional environment.\nPreferred Qualifications\nExperience in CPG, retail, or customer analytics.\nExperience supporting Walmart or another major omnichannel retailer.\nFamiliarity with Walmart Scintilla, Nielsen/Circana, or other syndicated data sources.\nExperience with dashboard development, process automation, forecasting, statistical modeling, or predictive analytics.\nWhat will be your key responsibilities?\nIntegrate Walmart Scintilla, syndicated, and internal Mars data to create a comprehensive view of business performance.\nDevelop and maintain Power BI dashboards, reporting, and scalable analytical solutions that improve business decision-making.\nApply statistical and data-science techniques to forecasting, opportunity identification, and business problem-solving.\nAutomate manual processes and develop repeatable, self-service analytics solutions.\nTranslate complex analysis into clear insights, recommendations, and compelling business stories for leadership and customer teams.\nAnalyze performance drivers including sales, consumption, distribution, assortment, pricing, promotion, and merchandising.\nPartner with Sales, Category, Supply, Finance, and other teams on strategic initiatives, customer meetings, planning, and ad hoc business questions.\nWhat can you expect from Mars?\nAt Mars, you'll work alongside talented Associates guided by The Five Principles, with opportunities to learn, grow, and make an impact. 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