Senior Analytics Engineer

Summary

Join GameChanger's growing Analytics Hub team as a Senior Analytics Engineer to deliver extensible models and frameworks for faster & deeper analytics across the company.

Requirements

• 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

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 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
• 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