Poshmark is looking for a Data Analyst to join their Product Analytics team to drive data-informed decision-making across their Search & Discovery Commerce, and New Product initiatives.
Requirements
- Strong data mining skills using SQL with proficiency in Excel
- Exposure and familiarity with Python, R, Spark SQL preferred
- Understanding of data modeling concept and partnering on building new DW tables
- Experience in gathering requirements and formulating business metrics for reporting
- Experience with data visualization through Looker (or similar tool) is preferred
- Knowledge of basic statistical concepts with emphasis on statistical hypothesis testing (t-tests, z-tests, etc.).
- Experience with product A/B and multivariate testing is preferred
Responsibilities
- Provide data-driven insights that lead to actionable business recommendations for key stakeholders in a simple, clear, and compelling manner.
- Monitor existing metrics, analyze data, and partner with internal team members to identify opportunities for improvement
- Collaborate with product, engineering and stakeholders to run and design experiments, instrumentation, and drive recommendations to support business outcomes.
- Perform exploratory data analysis to identify trends, patterns, correlations, and insights
- Develop new or improve existing key metrics and performance indicators to evaluate business performance, and work with the Data Engineering team to implement the data collection needed
- Perform extensive QA to ensure the quality and integrity of data.
- Follow the standard process for reporting any issues identified and work with the appropriate Data teams to resolve any data issues
Other
- Think and work independently, demonstrate creativity, and deliver quick results, while demonstrating a team-player attitude
- Work effectively with cross-functional teams; learn and apply best practices from other teams and always strive for high quality deliverables
- Maintain required documentation to ensure inventory of all key findings from trends and growth opportunities
- Ability to communicate data at an appropriate level for the audience
- Detail-oriented and expert in both qualitative and quantitative analysis, with strong storytelling and presentation skills
