We’re Hiring Across Two Core Tracks
Role Purpose
This role sits at the intersection of Product, Engineering, and Analytics. You will ensure product data is reliable, well-structured, and ready for analysis—enabling teams to measure how features, user behavior, and data flows impact business outcomes.
This is a more technical analytics role, focused on product insights and strong data foundations.
What You’ll Do
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Analyze product usage, user funnels, and customer behavior
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Support product teams with insights for feature launches and iterative improvements
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Build and maintain analytics-ready datasets and data pipelines
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Ensure data quality, consistency, and availability across reporting and analysis use cases
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Partner with engineers to integrate new data sources, events, and tracking
You Should Be Strong In
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SQL and Python for data analysis and transformation
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Data visualization & BI tools (Looker, Tableau, Power BI, etc.)
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Working with cloud data platforms and data warehouses
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Understanding product metrics, user journeys, and event-based data
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Translating technical data into practical, actionable insights
Nice to Have
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Experience with experimentation, A/B testing, or feature analytics
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Familiarity with AWS, Google Cloud, Databricks, Snowflake, or modern data stacks
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Background in SaaS, marketplaces, or digital platforms
Requirements – Who We’re Looking For
We welcome candidates from Junior to Senior level who bring:
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Strong analytical thinking and problem-solving skills
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Comfort working with large, messy, real-world datasets
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The ability to communicate clearly across technical and non-technical teams
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Curiosity about how data drives product decisions and business outcomes