Director, Business Analytics

Posted 2 months agoViewed
210000 - 230000 USD per year
United StatesFull-TimeSports Technology
Location:United States, EST, PST
Languages:English
Seniority level:Director, 10+ years in analytics or related fields, with 4+ years managing teams
Experience:10+ years in analytics or related fields, with 4+ years managing teams
Skills:
LeadershipSQLBusiness IntelligenceData AnalysisPeople ManagementCross-functional Team LeadershipMentoringData visualizationData modeling
Requirements:
10+ years in analytics or related fields 4+ years managing teams Proven ability to grow, attract, and mentor talent Skilled at influencing stakeholders, balancing competing priorities, and aligning analytics with business outcomes Track record of establishing effective processes, roadmaps, and prioritization frameworks that scale Experienced in defining, operationalizing, and enforcing company-wide metrics via modern data tools (dbt, semantic layers, BI) Strong SQL required Experience with dbt and modern BI tools (Looker, Sigma, Tableau) Excited about enabling self-serve analytics through AI and other next-generation tools
Responsibilities:
Manage, coach, and grow a team of analysts supporting Finance, Ops, and Risk & Trading. Create clear roles, accountability structures, and career paths for analysts. Foster a culture of ownership, collaboration, and high standards for analytical quality. Build strong relationships with business leaders and translate needs into an analytics roadmap. Establish steering cadences and a decision calendar aligned with business milestones. Influence stakeholders with clear, actionable insights. Define and enforce golden metrics with unambiguous definitions. Operationalize metrics through dbt data models, semantic layers, and BI tools. Establish durable intake, triage, and delivery workflows. Deliver self-serve dashboards and curated datasets. Prototype and launch AI-powered self-serve capabilities. Provide timely analyses and reporting to influence financial planning, operational efficiency, and trading risk management. Drive measurable improvements in areas such as forecast accuracy, payment approval rates, customer support efficiency, and exposure/risk monitoring. Retire legacy reports and streamline reporting processes.
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