Lucra Sports is hiring an Analytics & Data Platform Lead to own, build, and operate our core data foundation. This is a high-impact individual contributor role responsible for transforming raw product, financial, and operational data into reliable, actionable insights that drive business decisions. You will evolve the platform, practices, and standards to enable data as a strategic advantage.

What You'll Do

Own, build, and operate the core data foundation and stack.
Maintain and develop the core data stack, ensuring raw data is transformed into reliable, actionable insights.
Conduct deep-dive analyses to uncover trends, identify root causes for metric changes, and provide data-backed recommendations.
Develop and maintain dashboards for key operational metrics.
Serve as the primary resource for the operational health, performance, and cost-efficiency of the core data stack (Redshift, dbt, Sigma Computing).
Design, develop, and maintain robust data transformation workflows using dbt.
Implement and monitor data quality checks, testing, and documentation to ensure accuracy and reliability.
Manage the structure and optimization of the Redshift data warehouse, including performance tuning and user access.
Build and maintain board-ready and executive dashboards.
Support revenue realization tracking and forecasting.
Develop unit economics and cost-to-serve models (by user, feature, and client).
Partner with Finance on invoicing accuracy, revenue share validation, and margin analysis.
Administer and configure product analytics tools for segmentation, cohort analysis, and funnel creation.
Deliver actionable insights into product adoption, engagement, and retention.
Support experimentation frameworks and post-launch monitoring.
Partner with Client Success to develop client health, renewal, and upsell signals.
Enable Sales and Marketing teams with data to support pricing, packaging, and pipeline/deal quality.
Support the evolution of Lucra’s client-facing analytics dashboards.
Lead the evolution of Lucra’s data offering as a monetizable product.
Distinguish table-stakes analytics from revenue-generating differentiators.
Define and package high-value data assets that customers can purchase as premium add-ons.
Help establish data as an ongoing managed service.
Identify practical AI and automation opportunities (forecasting, anomaly detection, workflow automation).
Ensure data cleanliness and structure support AI initiatives.
Identify, evaluate, and deploy AI-powered tooling that automates analysis.
Design and implement AI-enabled workflows that reduce manual effort.
Partner cross-functionally to embed AI analytics tooling into day-to-day workflows.

What We're Looking For

5+ years of experience in analytics, analytics engineering, or data platform roles.
Experience operating in high-growth SaaS environments (Series A–C preferred).
Strong SQL skills and experience modeling analytics data.
Proficiency in Python.
Experience managing and optimizing Redshift (or a comparable cloud data warehouse like Snowflake, BigQuery).
Familiarity with the tools in our data & analytics stack (Redshift, dbt, Sigma, Segment).
Experience with event tracking implementation, specifically Mixpanel (or a similar event-based analytics platform like Amplitude).

Nice to Have

Experience as an early or founding data hire.
Familiarity with usage-based pricing, marketplaces, or transaction-driven platforms.
Exposure to client-facing analytics or data monetization.
Experience supporting AI or advanced analytics initiatives.
B2B SaaS or platform experience.