Product Analyst II, Paid Acquisition

Summary

Join ZipRecruiter's Paid Acquisition team as a Decision Scientist II and collaborate with product, engineering, and design teams to shape the product roadmap. You will leverage descriptive statistics, experimentation, and statistical inference to enhance decision-making. Key focuses include influencing stakeholders, mastering product data, proposing innovative analyses, and creating compelling data visualizations. This hybrid role offers a competitive salary and benefits package, including flexible vacation and paid time off, and an employer-matched 401(k) plan. The US base salary range is $125,000-$160,000.

Requirements

• Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or economics (or equivalent experience)
• 3+ years of product analytics experience (optional: in a product/engineering/tech environment)
• Experience designing experiments, testing, and utilizing statistical principles to inform business decisions
• Proficient in statistical computing and scripting languages such as Python, R, SQL

Responsibilities

• Utilize descriptive statistics to assess product performance, helping the team identify potential causes and solutions when performance metrics show unfavorable trends
• Serve as the end-to-end owner of hypothesis-driven experimentation for your product team, providing thorough analysis and delivering clear, actionable recommendations
• Perform statistical inference to enhance your team’s understanding of products and users, inferring causality in situations where testing isn’t feasible
• Influence your stakeholders and executives to make better product decisions. Be willing to tell uncomfortable truths
• Become deeply familiar with our product data. Understand the limitations and caveats. Use our data to plan and complete analysis that supports product development
• Propose analyses that the product manager and engineering team haven’t considered yet. Provoke new and deep thinking in the team. Level up their understanding of our product data
• Build clear and compelling data visualizations so stakeholders can analyze product health independently

Preferred Qualifications

• Master’s or Ph.D. in a quantitative field such as mathematics, computer science, operations research, economics
• In-depth knowledge and hands-on experience in various areas, including probability and statistics theory, causal inference, experimental design and analysis, synthetic control, product ecosystems, and Bayesian inference
• Experience in product analytics with a focus on user acquisition

Benefits

• Competitive salary
• Exceptional benefits package
• Flexible Vacation & Paid Time Off
• Employer-matched 401(k) plan
• Employee Stock Purchase Plan
• Hybrid work environment