{"id":4160015,"url":"https://alion.io/job/circle-k-merchandise-analytics-manager-2","title":"Merchandise Analytics Manager","company":{"id":1785121,"name":"Circle K","domain":"circlek.com","url":"https://alion.io/company/circlek-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":5,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":70000,"max":85000,"currency":"USD","period":"year","gross":null,"usd_annual":85000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-10T00:00:00Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-12T12:06:43Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Merchandise Analytics Manager\nWe want you to join our team as a Merchandise Analytics Manager! If you enjoy turning data into insights, solving complex business challenges, and helping teams make informed decisions, this opportunity could be for you.\nYou will partner with Local Merchandising, Global Merchandising Excellence, Data & Analytics, Finance, Marketing, and Operations to advance Data Driven Merchandising (DDM) initiatives. Your work will help shape pricing, promotions, and assortment strategies through internal performance analysis and syndicated market data, including NielsenIQ and Circana.\nAs a Merchandise Analytics Manager, you will enjoy:\nAnnual salary range of $70,000-$85,000.\nMedical, dental, and vision insurance.\nCompany-paid basic life insurance, accidental death and dismemberment insurance, and short-term disability coverage.\nOptional supplemental life, long-term disability, accident, critical illness, and hospital indemnity coverage.\n401(k) retirement plan with company matching contributions after meeting service requirements.\nHealth Savings Account and Flexible Spending Account options.\nPaid vacation, personal time, and sick time according to company policy and eligibility.\nTuition reimbursement of up to $5,000 annually for eligible job-related courses and degree programs.\nEmployee Stock Purchase Plan with company matching contributions, subject to eligibility.\nEmployee discounts on Circle K fuel, food, and drinks.\nEmployee Assistance Program offering confidential counseling and work-life, legal, and financial resources.\nEmployee well-being programs and resources.\nYour key responsibilities:\nChampion DDM initiatives and help teams use data to guide business decisions.\nParticipate in ongoing reviews of pricing, assortment, and promotional strategies as part of business planning, and document Business Unit strategic decisions.\nContribute to the Business Unit’s annual DDM planning process.\nPartner with Business Unit Marketing and Merchandising teams and Global Promotion, Assortment, and Pricing teams to turn insights into action, identify gaps, and recommend improvements to DDM tools and processes.\nDevelop reusable analytical tools, models, and approaches that provide actionable insights and support business goals.\nAnalyze market share, category performance, and competitive trends using NielsenIQ and Circana syndicated data, including point-of-sale, scan, and consumer panel data, to identify growth opportunities, share gaps, and risks.\nCombine syndicated market data with internal sales, margin, and loyalty data to deliver a complete view of performance and recommendations for Local, National, and Global teams.\nRegularly monitor and report on market share, pricing, promotional effectiveness, and assortment performance against competitors, proactively identifying emerging trends.\nPartner with Global Data & Analytics and external data providers to maintain data quality, consistent definitions, and appropriate use of syndicated data sources and licenses.\nUse SQL, Power BI, Excel, and AI-assisted analytics to automate reporting and expand access to insights across the Business Unit.\nTranslate complex findings into clear stories, presentations, and recommendations for stakeholders at all levels.\nParticipate in the Global Analytical Network, collaborating on data and analytics issues and sharing experiences across Business Units.\nMentor junior team members and support their professional development.\nMaintain professional and technical knowledge through educational workshops, publications, professional networks, and industry organizations.\nSupport team success by achieving financial and Key Result Area targets established in company plans.\nYou are good at:\nApplying strategic thinking, logical reasoning, and strong analytical skills to complex business challenges.\nTurning data into clear, practical recommendations that improve business execution.\nDelivering concise, structured written and verbal communication, leading discussions, and presenting informed perspectives to senior leaders.\nPrioritizing work and managing large projects from start to finish.\nLeading cross-functional teams through ambiguous situations.\nBuilding relationships across departments and organizational levels.\nManaging, mentoring, and developing people.\nWhat you’ll need:\nBachelor’s degree or foreign equivalent in Mathematics, Computer Science, Engineering, Statistics, Business Analytics, or a related field, followed by at least three years of progressively responsible experience.\nStrong market share analysis skills and hands-on knowledge of NielsenIQ and Circana, formerly IRI, data, tools, and methodologies.\nProficiency in data analysis and visualization tools such as Excel, SQL, and Power BI or Tableau.\nDemonstrated success leading large projects and cross-functional initiatives from start to finish.\nExperience communicating insights and recommendations to senior business leaders.\nExperience collaborating with individuals across different organizational functions and levels.\nSupervisory experience managing and developing employees.\nGreat if you have:\nExperience using syndicated data within convenience retail, grocery, fuel, or consumer packaged goods environments.\nExperience with Python or R.\nRetail experience.\nPhysical Requirements:\nThe following physical demands are representative of those required to perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.\nSit for extended periods.\nOperate a computer keyboard and mouse for data entry.\nView a computer monitor.\nHear and speak by telephone.\nReach forward and overhead.\nOccasionally lift up to 20 pounds.\nWork Environment:\nThe following conditions are representative of the work environment for this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\nAn office environment with moderate noise levels.\nNatural and fluorescent lighting throughout work areas.\nWork performed with minimal direction and periodic supervision.\nThe statements above describe the general qualifications, duties, and responsibilities of this position and are not intended to include every specific job requirement. This job description may change periodically based on business needs, with or without advance notice.\nCircle K is an Equal Opportunity Employer. The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company’s Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.\nClick below to review information about our company's use of the federal E-Verify program to check work eligibility:\nIn English\nIn Spanish","description_format":"text","description_chars":7045,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["Growth opportunities","Life insurance","Professional development","Retirement plans","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Fossil Fuels","Retail & Shop Systems","EV Charging","Car Wash"],"lifecycle":[{"event":"open","at":"2026-11-12T12:06:43Z"}],"visa":[],"liveness":{"score":77,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.856,"p_room":0.9,"age_days":2,"expected_fill_days":5,"reasons":["conf:2","win:mid","comp:brand"],"computed_at":"2026-11-12T14:27:03Z"},"pay":{"stated_usd_annual":85000,"is_top_pay":false},"html_url":"https://alion.io/job/circle-k-merchandise-analytics-manager-2","json_url":"https://alion.io/job/circle-k-merchandise-analytics-manager-2.json","meta":{"generated_at":"2026-11-12T14:27:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":30028,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1785121},"rest":"https://alion.io/mcp/rest/get_company?id=1785121"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcircle-k-merchandise-analytics-manager-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcircle-k-merchandise-analytics-manager-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcircle-k-merchandise-analytics-manager-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/circle-k-merchandise-analytics-manager-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcircle-k-merchandise-analytics-manager-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4160015}},{"tool":"search_jobs","arguments":{"company":"circlek.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4160015},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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