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 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 Core Data Engineering team. In this role, you will own architecting our data foundation for reporting, analysis, and experimentation. 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 data models in DBT in such a way that makes a broader range of analysis easy for Data Analysts / Scientists and self-service easy for business stakeholders
• Own the DBT developer experience (e.g, deployment, testing, etc.)
• Apply software engineering best practices like version control and continuous integration to the analytics code base
• Work closely with our Data Engineers, Analysts, Scientists and Architect

Who You Are:

• 5+ years of experience in the Data space as an analyst, engineer, or equivalent
• Deep familiarity with dimensional modeling/data warehousing concepts
• Ability to write complex SQL, ad-hoc data pipelines, and data models in DBT and experience in using Python for data analysis
• Demonstrated solid understanding of software engineering best practices
• Comfort working in an agile, iterative environment and ability to thrive in a fully remote organization
• Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations amongst cross-functional stakeholders

Experience:

• Our data tech stack: Github, Airflow, Gitlab, Redshift, Snowflake, Fivetran, DBT, Looker, AWS
• Nice to have: Experience with building and maintaining semantic layers and self-service technologies (e.g., Looker) for non-technical end-users

Perks:

• Work remotely or from our well-furnished, modern office in NYC's FiDi.
• Unlimited vacation policy.
• Technology stipend - $4,000 every 2 years to purchase new technology.
• 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.
• Generous parental leave.
• Commuter benefits.
• 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 $150,000 and $210,000. This is part of a competitive total rewards package that includes incentive, equity, and benefits for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all teammate pay regularly to ensure competitive and fair pay.