Senior Analytics Engineer, Product

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 is the largest platform for high school sports in the US, reaching millions of fans, parents, coaches, and student athletes across NFHS Network, MaxPreps, and GoFan. This role sits on the Video product team, reporting to the Senior Director of Product, and is the data engine behind it: the person who turns raw event, viewership, and subscription data into the models, metrics, and data products the rest of the team builds on.

We move fast and decide with data, but too much of that data still lives in one-off queries and tribal knowledge. We need someone who sits within the product team and partners closely with the central Data Platform team - adopting and upholding their standards and practices while building transformation layers and models the platform can adopt for broader use. It's a two-way street: you build to shared standards, and the logic you codify gets reused beyond your team.

The ideal candidate is a builder. You're energized by creating scalable data products, partnering closely with product and engineering teams, and transforming complex datasets into systems that drive better decisions. You enjoy working through ambiguity, balancing technical rigor with speed, and building solutions that become foundational assets across the organization.

The outcomes you'll deliver

• Trusted product data foundation: 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.


• Scalable experimentation framework: Establish the data and analysis infrastructure that enables teams to run, measure, and iterate on A/B tests consistently and efficiently.


• Production-ready data products: Deliver APIs, dashboards, and data products that power customer-facing experiences and provide stakeholders with trusted metrics for decision making.


• Reliable product instrumentation: Ensure event tracking, data contracts, testing, and monitoring are in place so product behavior is captured accurately and remains trustworthy over time.


• Predictive insights that drive growth: Develop predictive and causal models that improve forecasting, retention, pricing, and product strategy.

In this role, you can expect to

• Build experiences our customers love. Embed in the Video product org alongside PMs, designers, and engineers, using data to help shape and ship features athletes and their families actually use. You are a builder on the product team, not a reporting function next to it.


• Strengthen and grow the data foundation. Make the models and pipelines we already have cleaner, more reliable, and more reusable, bring in new product, customer, and third-party signal we don't have today, and apply software discipline (version control, review, testing) throughout, so the team can trust the data and answer questions it currently can't.


• Build experimentation into a system that scales. Stand up the data and analysis layer behind A/B tests so the team can design, run, and read experiments quickly and consistently, rather than rebuilding the plumbing each time.


• Get instrumentation right at the source. Partner with product and engineering on event tracking and data contracts so the behavior we care about is captured accurately and completely from the start, then build the tests and monitoring that keep it that way.


• Power product with live data APIs. Build and own data endpoints that feed real product experiences, from spec through production.


• Surface insights and drive decisions. Turn the metrics that matter into clear, reliable insights and recommendations that move the business - building the dashboards and surfaces people trust to make decisions along the way.


• Develop predictive and causal models. Develop predictive and causal models that move the business, from a pLTV model for revenue forecasting to a propensity model that targets discounts without cannibalizing revenue to causal-inference work that pinpoints which behaviors actually drive retention.

To thrive in this role, you have

• Strong SQL skills and comfort working with large analytical datasets: complex joins, window functions, and performance tuning on a cloud warehouse (we use 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.


• Bonus: Background in data modeling for analytical or operational use cases; experience with real-time or streaming data systems; ML engineering basics like feature pipelines; sports, streaming, or B2C subscription experience.

How You Play

Ownership over Participation

You take responsibility for holistic outcomes, prioritize key objectives, adapt quickly, and follow through against the toughest challenges.

Team over Stars

You are a bridge builder, rallying teams around common goals, finding win-win solutions, and helping others succeed.

Growth over Comfort

You actively seek to expand your comfort zone and skills, embracing new challenges and treating failure as a chance to learn.

Fairness over Popularity

You approach decisions with a scientist’s mindset, stay objective, weigh long-term impact, and seek out other perspectives.

PlayOn is where high school sports come to life. Through GoFan, NFHS Network, and MaxPreps, we give every fan a front-row seat to the moments that matter most: the buzzer-beaters, the comeback wins, the senior nights, the rivalries that define a town.

We built our technology for the people who live and breathe high school athletics — the parents who never miss a game, the alumni still cheering from across the country, the communities that show up week after week. From buying tickets to watching a live stream to reliving the highlights, we make it simple to stay close to the sports and the athletes you love most.

Backed by KKR, we build the technology that powers high school athletics from the inside out: Schools trust us to handle ticketing, streaming, fundraising, concessions, merchandise, and more so the people running programs can stay focused on the athletes and fans we all serve together.

We're a growth-stage company on a mission to make high school sports more accessible, more memorable, and more connected than ever before.

When being there means everything, we make sure you never miss a moment.

Why You’ll Love Working at PlayOn

Product, potential, and people. We’re a leader in the high school event space, constantly evolving our product to meet the needs of administrators. We focus on solving real challenges, learning quickly, and creating impactful solutions.

This is a growth-stage company, meaning your contributions have real impact. You’ll have opportunities to grow your skills, tackle meaningful problems, and make a difference in the lives of schools and the students and fans they serve.

Our culture is built on accountability, collaboration, growth, and fairness. We don’t just show up—we show up for each other. Everyone wears the same jersey, and we play hard, make the extra pass, and cheer one another on. Losses teach us, challenges motivate us, and persistence drives us forward. We value integrity over shortcuts, choosing to do what’s right even when it’s hard. Together, we strive to be better every day—because we know that’s how we win as a team.

The Benefits We Offer

• Multiple medical insurance plans to choose from


• Dental, vision life and disability insurance


• Employee Emergency Fund


• Company equity (stock options)


• Open PTO policy


• 401K plan with company match


• Hybrid/flexible work environment

Note: Must be a full-time employee to participate in the company’s employee health benefit plan. Part-time employees and interns are not eligible to participate