Build and own product analytics infrastructure, data pipelines, and self-serve tools for cross-functional teams. Leverage SQL, Python, ETL, and AI to drive data-informed decisions in sales, product, finance, and more. Requires 4+ years in product data roles.
200k – 260k
Remote4+ YOEData Analytics
About the role
What you’ll do
Own the data infrastructure and pipelines for business critical product and user data
Conceptualize and build best-in-class internal tools enabling others to increasingly self-serve data needs
Take an AI-first approach to scaling Runway’s data tooling and use. You’ll provide the two necessary things that today’s AI systems lack – trust and total context – so data can help drive key decisions in the right direction
Work with sales and finance to ensure billing, revenue recognition, margin analysis, and other key financial metrics are accurate as products and go to market motions rapidly develop
Work with product and engineering to ensure critical usage data is available and interpreted in useful ways
Collaborate with trust and safety teams on signals for detecting misuse or abuse
Collaborate with marketing and studios teams to help measure impact of all marketing initiatives
Build and maintain our data pipelines and third party tools that others use for dashboarding and analysis
What you’ll need
4+ years of experience working as a data analyst, engineer, scientist or similar, where your primary responsibility involved working heavily with product data
4+ years of experience with SQL, ETL, python, and data modeling
Collaborative mindset and communication skills; Comfortable working directly with sales, product, finance, and engineering teammates. You can translate data needs into solutions, gather context needed to unblock yourself, and build tooling that any teammate is comfortable using
Understanding of best practices for data modeling, manipulation, transformation, and maintaining privacy
An added bonus if you have experience as a founding product data analyst or first hire in a data role
Skills
SQLPythonETLData ModelingData PipelinesAI ToolsDashboardingData WarehousingData TransformationPrivacy Best Practices
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