About GameChanger:

We believe in the life-changing impact youth sports have on and off the field because they encourage leadership, teamwork, responsibility, and confidence—important 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 looking to add a Senior Analytics Engineer to our growing Analytics Hub team within the Data & Analytics organization (DNA). As part of this centralized team, the Senior Analytics Engineer’s goal is to deliver extensible models and frameworks, enabling faster & deeper analytics across the company. Together with the Data Engineering and Embedded Analytics teams, DNA’s overall mission is to empower everyone at GameChanger to drive meaningful outcomes using data.

In this role, you will wrangle both 1st party and 3rd party data, own architecting our data foundation for reporting, analysis, and experimentation, and build foundational models to unlock insights for teams across the company including product, finance, operations, and engineering. Using Python, SQL, and DBT, you will optimize and transform data from warehouse tables into critical self-serve data artifacts that power impactful analytic use cases (e.g. metrics, dashboards) and empower data consumers across the company.

What You’ll 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 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:

• 5+ 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 platform’s capabilities while balancing warehouse costs.

• Complete understanding of dimensional modeling techniques and when to use them.

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

• 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).

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

• Experience modeling data for statistical inference, machine learning or computer vision driven product features.

• 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.

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

• Snack stipend - $60 monthly to have snacks shipped to your home office.

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

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

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

• Retirement savings - 401K plan offered through Vanguard, with a company match.

• Company paid access to a wellness platform to support mental, financial and physical wellbeing.

• Generous parental leave.

• DICK’S Sporting Goods 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 $160,000 and $200,000. 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.

* DICK’S 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.

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