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F

Staff Analyst, Ops Ecosystem Analytics

Fanatics Betting & Gaming

. Own the architecture of CX Ops ecosystem data in Snowflake, including schema design, data layers, access patterns, and operating model .

Posted 11/5/2026full-timeRemote • United StatesLead💰 $160,000 - $200,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data architecture and analytics, with a strong focus on SQL, dbt model design, and data governance in cloud environments. Proven ability to lead cross-functional projects, communicate effectively with senior leadership, and ensure data quality and integrity.

Highest-signal resume keywords
Advanced SQL ProficiencyStrong dbt ExperienceData Governance ExpertiseExecutive Communication SkillsDashboard Development in Sigma or Tableau

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQL OptimizationData ModelingData Quality StandardsSchema DesignData Layer DesignAutomated Data SolutionsCross-Functional AnalysisData TestingData DocumentationKPI Definition
Soft Skills
Attention to DetailMentoringProblem-SolvingAdaptabilityCommunication
Tools & Technologies
SnowflakeDbtSigmaTableau
Industry Keywords
Analytics EngineeringBusiness IntelligenceStrategic OperationsData EcosystemAI in Analytics

Tech Stack

Tools & technologies
CloudSnowflakeSQLTableau

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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/