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Product Analyst II
Skills
A/B TestingAnalyticsCohort AnalysisCritical ThinkingData InterpretationHypothesis TestingLooker
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Proven experience (2+ years) in product analytics, preferably in a high-velocity product environment, with a track record of delivering impactful insights and driving growth.
- Understanding of statistical analysis methods, experimental design, and hypothesis testing.
- Experience with A/B testing methodologies, funnel analysis, cohort analysis, and other advanced analytics techniques.
- Strong proficiency in data visualization tools such as Tableau, Looker, or similar tools to create compelling dashboards and reports.
- Expertise in programming languages such as Python or R, as well as proficiency in SQL for data extraction and manipulation.
- Self-motivated, proactive, and able to work effectively both independently and collaboratively in a dynamic, fast-paced environment.
- Excellent communication and presentation skills, with the ability to convey complex findings and insights to non-technical stakeholders in a clear and actionable manner.
- Strong problem-solving skills and the ability to think critically, ensuring accuracy and attention to detail in all analyses.
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. A Master's degree is a plus.
Day to day
- Collaborate with the product team to develop and execute data-driven experiments and A/B tests, focusing on Content initiatives
- Conduct in-depth analysis of user behavior, conversion rates, and content performance to identify growth opportunities and inform product and search and recommendation optimization strategies
- Provide actionable insights and recommendations to key stakeholders based on statistical analysis and data interpretation