The Product Analyst will play a key role in shaping product strategy through rigorous data analysis experimentation and statistical evaluation. This role partners closely with product managers engineers and designers to uncover insights validate hypotheses and drive datainformed decisionmaking across the product lifecycle.
Tasks
Key Responsibilities
- Analyze product performance user behavior and feature adoption to identify opportunities for improvement.
- Design implement and evaluate A/B tests sequential tests and other experimental frameworks.
- Apply statistical methodsincluding causal inference and DifferenceinDifferences (DID)to measure product impact.
- Build dashboards reports and automated analyses to support ongoing product decisions.
- Collaborate with product engineering and design teams to define metrics success criteria and data requirements.
- Communicate insights clearly to both technical and nontechnical stakeholders.
Requirements
Required Skills & Experience
- Strong proficiency in Python for data analysis (pandas NumPy SciPy statsmodels).
- Solid understanding of statistics experimental design and hypothesis testing.
- Handson experience with A/B testing sequential testing and DID causal inference methods.
- Strong SQL skills for querying and transforming large datasets.
- Ability to translate analytical findings into actionable product recommendations.
- Experience working in crossfunctional fastpaced product teams
The Product Analyst will play a key role in shaping product strategy through rigorous data analysis experimentation and statistical evaluation. This role partners closely with product managers engineers and designers to uncover insights validate hypotheses and drive datainformed decisionmaking acros...
The Product Analyst will play a key role in shaping product strategy through rigorous data analysis experimentation and statistical evaluation. This role partners closely with product managers engineers and designers to uncover insights validate hypotheses and drive datainformed decisionmaking across the product lifecycle.
Tasks
Key Responsibilities
- Analyze product performance user behavior and feature adoption to identify opportunities for improvement.
- Design implement and evaluate A/B tests sequential tests and other experimental frameworks.
- Apply statistical methodsincluding causal inference and DifferenceinDifferences (DID)to measure product impact.
- Build dashboards reports and automated analyses to support ongoing product decisions.
- Collaborate with product engineering and design teams to define metrics success criteria and data requirements.
- Communicate insights clearly to both technical and nontechnical stakeholders.
Requirements
Required Skills & Experience
- Strong proficiency in Python for data analysis (pandas NumPy SciPy statsmodels).
- Solid understanding of statistics experimental design and hypothesis testing.
- Handson experience with A/B testing sequential testing and DID causal inference methods.
- Strong SQL skills for querying and transforming large datasets.
- Ability to translate analytical findings into actionable product recommendations.
- Experience working in crossfunctional fastpaced product teams
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