Staff Analyst, Ops Ecosystem Analytics

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $160k - $200k / year

⏰ Full Time

🔴 Lead

⚙️ Operations

👻 Ghost score 0%

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Fanatics Betting & Gaming

WebsiteAll Job Openings

- employees

🎲 Gambling

⚽ Sports

👥 B2C

Gambling • Sports • B2C

Fanatics Betting & Gaming is a consumer-facing U. S. sports betting and online casino operator (branded as Fanatics Sports & Casino / Fanatics Sportsbook / Fanatics Casino) that offers sportsbook betting, online casino games, event contract trading (Fanatics Markets), and a unified loyalty currency called FanCash. It provides mobile apps and web experiences, state-by-state availability across many U. S. jurisdictions, promotional offers, partnerships with sports teams, and responsible-gaming tools and disclosures. Morton St. Trading Investments, LLC handles the event-contract trading side and is CFTC-registered.

📋 Description

• Own the architecture of CX Ops ecosystem data in Snowflake, including schema design, data layers, access patterns, and operating model • Decide how Ops data is structured, owned, and governed, aligning with Data Engineering and other teams • Consolidate datasets into shared sources of truth and establish naming and documentation conventions • Define and track data quality standards and build alerting on critical metrics • Turn raw cross-domain tables into clean, tested, reusable dbt models • Own core models and introduce data tests, code review practices, and modeling standards • Review SQL, models, and dashboards for correctness, performance, and readability; coach analysts • Replace manual data pulls with automated solutions • Lead complex cross-functional analyses from ambiguous business problems to decision-ready recommendations • Diagnose root causes and surface trends, anomalies, and risks • Support scenario analysis and impact sizing for initiatives, operational changes, and staffing decisions • Set standards for publication-ready dashboards and reporting with defined KPIs and documented assumptions • Present findings, architecture decisions, and impact to Ops and senior leadership • Build data narratives that translate findings into actions • Mentor and support analysts through standards, reviews, and knowledge sharing • Ensure AI agents use validated, trusted data foundations and contribute required data models and evaluation rigor • Track deployed agent performance against Ops goals • Advise where AI can be trusted in analytical workflows versus where human judgment is needed

🎯 Requirements

• 5+ years in analytics, analytics engineering, business intelligence, or strategic operations • Advanced, hands-on SQL, including writing, QA, and optimization of complex queries; live technical exercise required • Strong dbt experience, including designing model layers, writing tests, and making architectural decisions • Experience designing or owning a data environment in a cloud data warehouse, including schema design, governance, and data quality • Experience working closely with data or analytics engineering teams to turn raw data into production-ready models • Strong executive communication and ability to present and defend analysis and recommendations to senior leaders • Experience owning complex, cross-functional projects end to end • Experience building dashboards in Sigma, Tableau, or a comparable tool • High attention to detail and ability to identify data quality issues before leadership reporting • Comfort working in fast-paced, ambiguous environments with shifting priorities

🏖️ Benefits

• Full-time employment compensation includes base salary and bonus • Potential in-person onboarding/cultural immersion through Launching into Better: LIVE for full-time, non-seasonal hires • Benefits information provided at https://benefitsatfanatics.com/

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