Senior Analytics Engineer - Data-Driven Video Platform

PlayOn Sports; United States; Hybrid; USD 120,000 - 155,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Company equity

Open PTO policy

401K with company match

Hybrid/flexible work environment

Job summary

PlayOn Sports sits at the heart of high school athletics data, powering video, streaming, and ticketing with data-driven decisions. You’ll own data models, pipelines, and APIs that serve the Video product team and broader platform, turning raw event and viewership data into trustworthy metrics for decisions.

You’ll collaborate with product and engineering, elevate data standards, and deliver scalable data products while embracing ambiguity and speed to ship impactful analyses and insights.

Qualifications

• Strong SQL skills and comfort working with large analytical datasets: complex joins, window functions, and performance tuning on a cloud warehouse (Snowflake).
• Strong data modeling instincts and a track record of clean, documented, reusable transformation layers (SQLMesh, dbt, or equivalent).
• Production-grade Python for modeling, orchestration, and the analyses SQL alone won't cover, including the statistics to build an LTV or propensity model and reason honestly about causation versus correlation.
• Experience building data products others depend on: APIs, pipelines, and dashboards, not just ad-hoc queries.
• Stakeholder fluency: you translate business questions into metrics people agree on and influence decisions with what you build.
• Familiarity with experimentation and A/B testing, enough to build the measurement and analysis that tests depend on.
• Familiarity with AI-augmented development tools (Claude, Codex) as part of a modern workflow, and a bias for shipping where speed matters and perfect is the enemy of shipped.

Responsibilities

• Build reusable data models, transformation layers, and pipelines that become the reliable source of truth for the Video product team while adhering to shared Data Platform standards.
• Establish the data and analysis infrastructure that enables teams to run, measure, and iterate on A/B tests consistently and efficiently.
• Deliver APIs, dashboards, and data products that power customer-facing experiences and provide stakeholders with trusted metrics for decision making.
• Ensure event tracking, data contracts, testing, and monitoring are in place so product behavior is captured accurately and remains trustworthy over time.
• Develop predictive and causal models that improve forecasting, retention, pricing, and product strategy.

Skills

SQL

Data Modeling

Python

dbt

Snowflake

APIs

Experimentation

Tools

Git

Airflow

Job description

PlayOn Sports sits at the heart of high school athletics data, powering video, streaming, and ticketing with data-driven decisions. You’ll own data models, pipelines, and APIs that serve the Video product team and broader platform, turning raw event and viewership data into trustworthy metrics for decisions.

You’ll collaborate with product and engineering, elevate data standards, and deliver scalable data products while embracing ambiguity and speed to ship impactful analyses and insights.