{"id":3851094,"url":"https://alion.io/job/fanatics-staff-analyst-ops-ecosystem-analytics","title":"Staff Data Analyst","company":{"id":1756301,"name":"Fanatics","domain":"fanatics.com","url":"https://alion.io/company/fanatics-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":12,"ghost_share":0,"stale_share":0.417,"repost_share":0.167,"time_to_fill_p50_days":42,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":160000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"dbt","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-05T22:59:55Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-09T07:07:47Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Us\nFanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. \nOverview\nYou own the data foundation behind how CX Operations understands its performance and how it connects to the broader Fanatics ecosystem. As the Staff Analyst for Ops Ecosystem Analytics, you design and build the architecture, models, and operating standards that make CX Ops ecosystem data in Snowflake trustworthy, scalable, and usable by cross-functional teams, leaders, and by the AI agents we're building on top of it.\nThis is a hands-on technical role with broad influence. You take raw tables from across the business and turn them into clean, documented, tested models that the rest of the team builds on. You work side by side with Data & Analytics Engineering as well as Strategy teams. You set the SQL and data-modeling bar for the Ops Analytics team without managing anyone. You tell the story of what the data says, regularly presenting to senior leadership and translating architecture decisions and analytical findings into impact they can act on.\nWe are building toward an AI-first way of operating, and this role is central to it. The right person is technically sharp, relentlessly detail-oriented, and curious about both what the data is saying and how AI changes the way we find and act on answers. You move fast, own ambiguous problems, and hold yourself to a high bar without being told to.\nWhat You'll Do\nData architecture and operations environment\nOwn the architecture of CX Ops ecosystem data in Snowflake, including schema design, data layers, access patterns, and the operating model that keeps it reliable as it scales.\nDecide how ecosystem Ops data should be structured, owned, and governed, and drive alignment with necessary teams, like Data Engineering, on those decisions.\nConsolidate overlapping or one-off datasets into shared, well-governed sources of truth, and set naming and documentation conventions.\nDefine and track data quality standards for Ops ecosystem data.\nBuild alerting on critical metrics as needed so issues are caught before they reach leadership reporting.\ndbt and analytics engineering\nTurn raw cross-domain tables into clean, tested, reusable dbt models that the whole team can build on.\nOwn the team's core models and introduce data tests, code review practices, and modeling standards that catch issues before they reach stakeholders.\nReview teammates' SQL, models, and dashboards for correctness, performance, and readability, and coach analysts on best practices.\nReplace manual, one-off data pulls with automated, always-on solutions.\nAnalytical work and insights\nLead complex, cross-functional analyses from an ambiguous business problem through scoping, analysis, and a decision-ready recommendation, without formal authority over contributors.\nDiagnose root causes rather than symptoms, and surface trends, anomalies, and risks without waiting to be asked.\nSupport scenario analysis and impact sizing for product initiatives, operational changes, and staffing decisions.\nSet the standard for publication-ready dashboards and reporting, with clearly defined KPIs and documented assumptions.\nCommunication and influence\nPresent findings, architecture decisions, and impact to Ops and senior leadership. Take a high-uncertainty situation and communicate what you know, what you don't, and what you recommend.\nBuild the narrative around the data so stakeholders understand not just what the numbers say but what to do about them.\nMentor and support analysts across the team through standards, reviews, and knowledge sharing.\nAI enablement\nMake sure agents are built on validated, trusted data foundations, and contribute the data models and evaluation rigor they need before they move to build.\nTrack the performance of deployed agents against Ops goals.\nBring a point of view on where AI can be trusted in analytical workflows and where human judgment needs to stay in the loop.\nRequired Qualifications\n5+ years in analytics, analytics engineering, business intelligence, or strategic operations.\nAdvanced, hands-on SQL. You write, QA, and optimize complex queries and set the standard others are held to. This role includes a live, on-screen technical exercise.\n Strong dbt experience. You have designed model layers, written tests, and made sound architectural decisions, not just maintained existing models.\nDemonstrated experience designing or owning a data environment in a cloud data warehouse (Snowflake preferred), including schema design, governance, and data quality.\nExperience working closely with data or analytics engineering teams to turn raw data into production-ready models.\nStrong executive communication. You have presented analysis and recommendations to senior leaders and can defend your methodology under scrutiny.\nExperience owning complex, cross-functional projects end to end.\nExperience building dashboards in Sigma, Tableau, or a comparable tool.\nHigh attention to detail. You catch data quality issues before they surface in leadership reporting.\nComfortable in fast-paced, ambiguous environments with shifting priorities.\nPreferred Qualifications\nExperience supporting AI/ML workflows, agent builds, or automation initiatives.\nPython or a similar scripting language for data manipulation and automation.\nFamiliarity with operational KPIs across customer support, fraud, payments, or workforce management.\nExperience in gaming, fintech, or sports, or another operationally intensive, high-volume environment.\nBachelor's degree in Analytics, Computer Science, Statistics, Economics, or a related field.\nDepending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.\nFor information about our benefits, please visit https://benefitsatfanatics.com/\nRanges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/\nSalary Range\n$160,000—$200,000 USD\nBy submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.\nFanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here.","description_format":"text","description_chars":8143,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["E-commerce Platforms","Apparel & Fashion Brands"],"lifecycle":[{"event":"open","at":"2026-11-06T03:17:18Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":42,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-11-09T06:03:00Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":true},"html_url":"https://alion.io/job/fanatics-staff-analyst-ops-ecosystem-analytics","json_url":"https://alion.io/job/fanatics-staff-analyst-ops-ecosystem-analytics.json","meta":{"generated_at":"2026-11-09T10:00:40Z","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":10187,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"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":1756301},"rest":"https://alion.io/mcp/rest/get_company?id=1756301"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffanatics-staff-analyst-ops-ecosystem-analytics"},{"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%2Ffanatics-staff-analyst-ops-ecosystem-analytics"},{"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%2Ffanatics-staff-analyst-ops-ecosystem-analytics"},{"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/fanatics-staff-analyst-ops-ecosystem-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffanatics-staff-analyst-ops-ecosystem-analytics"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3851094}},{"tool":"search_jobs","arguments":{"company":"fanatics.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3851094},"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. Docs: https://alion.io/developers"}}