Founding Data Analytics Engineer

About the Role

This role is for our first-ever product analytics engineering hire, a fundamental and critical part of the team for Runway, a market-defining company in its early stages.

We’re looking for a passionate Founding Data Analytics Engineer to ensure every team at Runway uses data to be as effective as possible in their role. This position is ideal for someone with a strong technical and data background, coupled with experience understanding the needs of cross-functional partners. You will be able to take raw data and build tools and platforms for self-service.

You’ll deeply understand our data, how to optimize its use, and how to leverage AI tooling, both for yourself and for our teams, to provide rapid data insights across the company. You will be excited to combine prior expertise with the rapidly changing areas of ML, tooling integrations, and our product data to achieve this.

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, providing the necessary trust and total context for AI systems to drive key decisions effectively.
• 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.
• Collaborate 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 the 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, with primary responsibility involving heavy work with product data.
• 4+ years of experience with SQL, ETL, Python, and data modeling.
• Collaborative mindset and strong communication skills; comfortable working directly with sales, product, finance, and engineering teammates. You can translate data needs into solutions, gather context 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 a first hire in a data role.

Key Skills/Competency

• Data Infrastructure
• Product Data Analysis
• AI/ML Tooling
• SQL Expertise
• Python Programming
• ETL Processes
• Data Modeling
• Cross-functional Collaboration
• Data Pipelines
• Financial Metrics Analysis