gamechanger - Senior Analytics Engineer
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Requirements
• 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 platform’s 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. • 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.
Responsibilities
• 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.
Benefits
• Work remotely throughout the US* or from our well-furnished, modern office in Manhattan, NY. • Unlimited vacation policy. • Paid volunteer opportunities. • Technology stipend - $4,000 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. • DICK'S Sporting Goods and their family of brands teammate discount.
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