Top Sports Data & Analytics Jobs in New York City, NY

Lead and mentor a data engineering team building scalable customer-focused data solutions. Hands-on technical ownership, architecture guidance, and delivery of data ingestion, transformation, and reporting. Advance AI-enabled development practices, set technical standards, and foster a collaborative, accountable engineering culture to improve speed, quality, and reliability.

Lead architecture and reliability of the data platform, build and harden ingestion (batch and CDC), own BigQuery+dbt transformations, establish testing/observability/governance, mentor engineers, develop Python tooling and APIs, run POCs for lakehouse/open table formats, and define AI-assisted development practices.

Leads personalization analytics for Disney+ and Hulu by designing and interpreting A/B tests, conducting statistical and causal analyses, improving datasets and instrumentation, and translating user behavior data into strategic product recommendations. The role partners with product, engineering, business leadership, and machine learning teams, develops reporting and visualization foundations, manages analytical projects end to end, and uses AI tools to accelerate analytics engineering and stakeholder insights.

Serve as the primary analytics partner for Talent Sales and Marketing: deliver client-facing insights and pitch support, design measurement frameworks and benchmarks, build standardized analytics solutions, lead vendor/platform selection, document methodologies (sentiment, EMV, audience quality), and educate stakeholders while aligning analytics with business needs.

The Workday Analyst supports and improves the Workday Payroll module, focusing on systems analysis, technical support, payroll configurations, reporting, and process improvements for US and Canada payroll environments.

Lead a distributed analytics team to turn ambiguous marketing and fan questions into scoped analyses, predictive models, segmentations, and A/B tests. Partner with marketing, BI, and data engineering to define KPIs, ensure data quality, apply GenAI-assisted workflows, and present results to Director- and VP-level stakeholders.

Define and lead the technical architecture for a lakehouse on AWS, build production pipelines and data models for time-series and multi-source data, introduce data governance and catalog foundations, author platform playbooks (ADRs, runbooks, Terraform modules), deliver projects end-to-end, and mentor engineers while representing the platform to senior leadership and non-technical stakeholders.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

Own growth and player behavior analytics across sportsbook, casino, and poker. Partner with Revenue Ops, Marketing, Product, and VIP to run retention, bonus optimization, segmentation, A/B testing, and predictive modeling using SQL, Snowflake, ML/AI tooling, and Python. Turn analysis into actionable recommendations and measurement frameworks.

Remote, part-time unpaid internship supporting the Data Department by manually clipping video and tagging image/frame locations to meet weekly quotas (~10-15 hours/week). Interns perform repetitive annotation tasks, contribute to research projects, and collaborate with baseball analytics and performance teams.