Key skills
SQLETLPythonData modelingData analysisbest practicesCollaborationCommunication skillsGoAIAnalyticsCommunicationSales
About this role
Runway is a market-defining company in its early stages, seeking its first-ever product analytics engineering hire. The role involves owning data infrastructure, building internal tools for self-service data needs, and collaborating with various teams to ensure accurate data usage and insights.
Responsibilities:
- 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 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
Requirements:
- 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
- Experience as a founding product data analyst or first hire in a data role