Product Analyst

EPCVIP, Inc. is hiring a Product Analyst to run the day-to-day execution of funnel and acquisition experiments within Product Operations. In this role, you will own assigned initiatives from hypothesis and implementation through analysis and recommendation, using AI tools and data warehouse integrations to develop and verify queries.

What you'll do:

• Define the hypothesis, success metrics, guardrails, and decision criteria for assigned initiatives
• Estimate expected lift, required sample size, statistical power, and test duration before committing to a build
• Use historical and segment-level data to evaluate opportunities and support prioritization
• Contribute ideas based on user behavior, competitor funnels, mock-ups, and performance trends
• Run assigned lead-acquisition experiments from approved concept through final decision
• Coordinate implementation with Design and Engineering, complete QA, launch the test, and monitor live performance
• Analyze results, evaluate statistical significance, and document a clear recommendation
• Maintain experiment tickets, documentation, timelines, and status visibility
• Surface tracking gaps, sample-ratio mismatch, unexpected metric movement, and other anomalies early
• Investigate funnel performance, conversion trends, revenue movements, and stakeholder questions
• Frame analytical questions, segment the data, and conduct analyses using SQL, Python, and AI tooling
• Validate query logic, data quality, and unexpected findings before reaching a conclusion

What they're looking for:

• Bachelor's degree in Business, Economics, Analytics, Statistics, Information Systems, Computer Science, or a related quantitative field, or equivalent practical experience
• 1–2 years of experience in product analytics, data analytics, product operations, or a related field; new grads with strong internship or project experience are welcome to apply
• Proficiency in SQL and Python for querying, analyzing, and validating data
• Working knowledge of A/B testing, including hypothesis design, sample sizing, statistical significance, peeking, and sample-ratio mismatch
• Ability to turn an ambiguous product question, funnel metric, or experiment result into a structured analysis and clear recommendation
• Strong ownership and execution, with the ability to move initiatives forward, maintain clear documentation, and escalate blockers early
• Strong analytical judgment and curiosity, with the discipline to investigate unexpected results and verify conclusions
• Experience using tools such as Claude Code, Cursor, and ChatGPT
• Exposure to lead generation, performance marketing, affiliate networks, funnel or conversion-rate optimization, or adtech
• Experience with digital analytics tools such as GA4, Amplitude, Mixpanel, or similar
• Experience building something practical with AI tooling, such as a script, agent, workflow, or small internal tool