Senior Analytics Engineer

About GameChanger:

We believe in the life-changing impact youth sports have on and off the field because they encourage leadership teamwork responsibility and confidenceimportant life lessons that have the power to propel our youth toward meaningful futures. We recognize that without coaches parents and volunteers organized youth sports could not exist. By building the first and best place to experience the youth sports moments important to our community we are helping families elevate the next generation through youth sports.

So if you love sports and their community-building potential or building cool products is your sport GameChanger is the team for you. We are a remote-first dynamic tech company based in New York City and we are solving some of the biggest challenges in youth sports today.

The Position:

GameChanger is seeking a Senior Analytics Engineer to join the Analytics Hub team. Our mission is to deliver easy-to-use extensible data models and self-serve capabilities that enable stakeholders across the company to answer data questions quickly and confidently. Youll collaborate with Analytics Data Engineering and cross-functional partners in Finance Product and Engineering to scale the platforms that power decision-making automation and measurement.

In this role you will work with both first- and third-party data to architect and maintain the data foundation for reporting analysis and experimentation. Using Python SQL and DBT youll transform warehouse data into scalable self-serve data models and artifacts (e.g. metrics dashboards) that unlock insights and empower teams across Finance Product and Engineering.

What Youll Do:

• Own architecting optimizing and transforming finance and product centric data models in DBT for flexible analysis by Data Analysts / Scientists and self-service by business stakeholders.

• Design data validations to ensure data integrity throughout our pipelines and assure the accuracy of our reporting.

• Create transparency throughout the full data pipeline by establishing foundational processes with upstream data producers and downstream data consuming tools (BI Reverse ETL experimentation).

• Advance agentic tooling and other automation efforts that help the team spend less time investigating data issues and more time doing analyses.

• Apply software engineering best practices like version control and continuous integration to the analytics code base.

• Work closely with our Data Engineers Analysts Data Scientists Diamond (Baseball/Softball) Sports and Finance teams to build foundational models around new sport specific features monthly recurring revenue and subscription forecasting.

• Support cross functional core metrics and data dependencies with leadership visibility.

Who You Are:

• 4 years of experience in the Product Finance or Operations space as an analytics engineer data analyst data engineer or equivalent.

• Ability to write complex SQL ad-hoc data pipelines and experience in using Python for data analysis.

• Hands-on experience implementing modern data modeling strategies with DBT including validating data building macros and selecting optimal materialization.

• Proven record of proactively driving improvements to data warehouse architecture.

• Comfort with event tracking data and product analytics tools including familiarity with common event data analyses like funnels and user paths.

• Experience scaling a data platforms capabilities while balancing warehouse costs.

• Deep understanding of dimensional modeling techniques and building data for scale.

• Comfort working in an agile iterative environment and ability to thrive in a remote first organization.

• Experience building and maintaining semantic layers and self-service technologies (e.g. dbt semantic views and LookML) for non-technical end-users.

• Demonstrated capacity to clearly and concisely communicate complex business activities technical requirements and recommendations amongst cross-functional stakeholders.

• Fluent in version control using git.

Bonus Points:

• Direct work with the tools in our data tech stack: Airflow Github Actions AWS Snowplow Braze Fivetran DBT Snowflake BigQuery Looker Hex Kubit Statsig (or equivalents).

• Comfortable productionizing agentic tooling and automating analytics workflows

• Significant modeling and architecture experience with web and app-based subscription data or front-end event-tracking data (e.g. Snowplow Segment)

• Experience optimizing query performance within a data lakehouse architecture and/or with materialized views.

• Familiarity with creating common Software as a Service (SAAS) metrics.

• Familiarity modeling data from low latency and real-time data pipelines.

Perks:

• Work remotely throughout the US* or from our well-furnished modern office in Manhattan NY.

• Unlimited vacation policy.

• Paid volunteer opportunities.

• Technology stipend - $4000 every 2 years after your start to make sure you have the latest and greatest technology.

• WFH stipend - $500 annually to make your WFH situation comfortable.

• Monthly physical mental wellness & learning stipend offered through Holisticly.

• Monthly lifestyle stipend offered through Fringe.

• Full health benefits - medical dental vision prescription FSA HRA HSA and coverage for family/dependents.

• Retirement savings - Traditional and Roth 401K plans are offered through Vanguard with an immediate company match.

• Life insurance - basic life supplemental life and dependent life.

• Disability leave - short-term disability and long-term disability.

• Company paid parental leave - up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents.

• Family building benefits offered through Progyny.

• DICKS Sporting Goods and their family of brands teammate discount.

We are an equal opportunity employer and value diversity in our company. We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status.

The target salary range for this position is between $140000 and $160000. This is part of a total compensation package that includes incentive equity and benefits for eligible roles. Individual pay may vary from the target range and is determined by several factors including experience internal pay equity and other relevant business considerations. We constantly review all teammate pay to ensure a great compensation package that is fair and equal across the board.

* DICKS Sporting Goods has company-wide practices to monitor and protect us from compliance and monetary implications as it pertains to employer state tax liabilities. Due to said guidelines put in place we are unable to hire in AK DE HI IA LA MS MT OK and SC.

Our Interview Process & AI

We recognize that AI has become a common part of everyday life and professional work and its use continues to evolve rapidly. Our perspective on AI in the hiring process will evolve as well. At this time we ask that candidates please refrain from using AI tools during interviews and assessments as we want to see your authentic self. We will clearly indicate if and when AI use is acceptable in the process. If you have any questions or need accommodations were here to help. Thanks for helping us keep the process fair and secure for everyone!

IMPORTANT NOTICE: All official recruitment communications from GameChanger will come from an email address ending in @ and/or If you receive communication from any other domain please be cautious as it is likely fraudulent.

Required Experience:

Senior IC