Job Description
Poshmark is searching for a Lead Data Analyst to join our product analytics team. In this role, you will partner closely with cross-functional stakeholders to design and execute impactful analyses, define success metrics, and influence roadmap and strategy. You will also mentor other analysts and help shape our team’s best practices in experimentation, measurement, and data storytelling.
What you'll do:
- Provide data-driven insights that lead to actionable business recommendations for key stakeholders in a simple, clear, and compelling manner. Understand and meet their analytics needs on a continual basis
- Monitor existing metrics, analyze data, and partner with internal team members to identify opportunities for improvement
- 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
- Lead the design and analysis of A/B tests and other experiments, ensuring methodological rigor and clear interpretation
- 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
- 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
Your First 6 Months:
- Learn the ins-and-outs of Poshmark’s platform and operations: developing familiarity with our key business stakeholders, data, goals, KPIs, and how they relate to Poshmark’s overall business
- Gain expertise of Poshmark's internal data systems and platforms and the use cases for each
- Contribute to projects by working on analyses and investigations with assistance from your manager and the broader team
- Ensure built-in time and process to QA data and insights
- Provide input and recommendations to achieve project goals
Your First 12 Months:
- Take on projects with growing independence with support from manager wherever required
- Develop insight and knowledge of long-term trends and factors influencing the business and our operations
- Demonstrate ability to lead conversations with and present data-driven analysis to business stakeholders and partners
- Become subject matter expert of your domain, with the ability to answer questions, and give guidance
- Mentor teammates and data analysts on the team
What you bring:
- 5+ years of analytics experience
- 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 A/B and multivariate testing
- 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
- Strong business acumen with aptitude to apply it critically towards solving problems
- Excellent interpersonal skills — including written and oral communication skills
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