Role Description
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. You’ll 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, you’ll 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 You’ll Do:
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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.
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Design data validations to ensure data integrity throughout our pipelines, and assure the accuracy of our reporting.
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Create transparency throughout the full data pipeline by establishing foundational processes with upstream data producers and downstream data consuming tools (BI, Reverse ETL, experimentation).
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Advance agentic tooling and other automation efforts that help the team spend less time investigating data issues, and more time doing analyses.
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Apply software engineering best practices like version control and continuous integration to the analytics code base.
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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.
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Support cross functional core metrics and data dependencies with leadership visibility.
Qualifications
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4+ years of experience in the Product, Finance, or Operations space as an analytics engineer, data analyst, data engineer, or equivalent.
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Ability to write complex SQL, ad-hoc data pipelines, and experience in using Python for data analysis.
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Hands-on experience implementing modern data modeling strategies with DBT, including validating data, building macros, and selecting optimal materialization.
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Proven record of proactively driving improvements to data warehouse architecture.
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Comfort with event tracking data and product analytics tools, including familiarity with common event data analyses like funnels and user paths.
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Experience scaling a data platform’s capabilities while balancing warehouse costs.
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Deep understanding of dimensional modeling techniques and building data for scale.
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Comfort working in an agile, iterative environment and ability to thrive in a remote first organization.
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Experience building and maintaining semantic layers and self-service technologies (e.g. dbt semantic views and LookML) for non-technical end-users.
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Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations amongst cross-functional stakeholders.
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Fluent in version control using git.
Requirements
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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).
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Comfortable productionizing agentic tooling and automating analytics workflows.
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Significant modeling and architecture experience with web and app-based subscription data or front-end event-tracking data (e.g., Snowplow, Segment).
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Experience optimizing query performance within a data lakehouse architecture and/or with materialized views.
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Familiarity with creating common Software as a Service (SAAS) metrics.
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Familiarity modeling data from low latency and real-time data pipelines.
Benefits
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Work remotely throughout the US* or from our well-furnished, modern office in Manhattan, NY.
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Unlimited vacation policy.
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Paid volunteer opportunities.
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Technology stipend - $4,000 every 2 years after your start to make sure you have the latest and greatest technology.
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WFH stipend - $500 annually to make your WFH situation comfortable.
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Monthly physical, mental, wellness & learning stipend offered through Holisticly.
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Monthly lifestyle stipend offered through Fringe.
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Full health benefits - medical, dental, vision, prescription, FSA, HRA, HSA, and coverage for family/dependents.
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Retirement savings - Traditional and Roth 401K plans are offered through Vanguard, with an immediate company match.
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Life insurance - basic life, supplemental life, and dependent life.
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Disability leave - short-term disability and long-term disability.
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Company paid parental leave - up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents.
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Family building benefits offered through Progyny.
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DICK'S Sporting Goods and their family of brands teammate discount.
