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Strong employer brand, metro location, mid-level generalist role, and broad skill requirements increase applicant competition.
Product analytics skills (SQL, Python, A/B testing) are broadly transferable across industries.
Explicit years plus required SQL, Python, PowerBI and statistical expertise enforce strict screening.
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Analyze complex datasets to generate insights for improving product performance and advertiser outcomes.
Support product decisions through data-driven insights, A/B test frameworks, and model evaluation.
Collaborate cross-functionally with Product, Data Science, Engineering, and Business teams to drive measurable business value.
3+ years overall work experience in Tech/Analytics/Startups, including 2+ years in product analyst, business analyst, or statistical analyst role.
Strong proficiency in SQL, Python, Advanced Excel, and PowerBI required.
Solid foundation in statistics and predictive modeling including A/B testing.
Work Experience Required: 3+ years overall with at least 2 years relevant in product or statistical analysis.
Experienced in applying statistical methods and exploratory data analysis to business problems in customer-centric technology products.
Effective at cross-functional collaboration and communicating technical insights to diverse stakeholders.
Comfortable with handling large datasets and implementing measurement frameworks for experimentation and model evaluation.