Sr. Data Analyst

About Poshmark

Poshmark is a leading fashion resale marketplace powered by a vibrant, highly engaged community of buyers and sellers and real-time social experiences. Designed to make online selling fun, more social and easier than ever, Poshmark empowers its sellers to turn their closet into a thriving business and share their style with the world. Since its founding in 2011, Poshmark has grown its community to over 130 million users and generated over $10 billion in GMV, helping sellers realize billions in earnings, delighting buyers with deals and one-of-a-kind items, and building a more sustainable future for fashion. For more information, please visit , and for company news, visit newsroom.poshmark.com .

We are seeking a Senior Data Analyst for the Operations team who will provide analytical insights to Poshmark teams in the U.S. This is an exciting opportunity for an analyst to make a high impact through data-driven insights. You’ll partner closely with our Marketplace Operations, Customer Support & Development, and Accounting stakeholders to drive innovative, analytical initiatives to meet our business objectives.

Responsibilities:

This role will be focused on providing analytics support and data insights to major business operations areas at Poshmark: Accounting, Marketplace Operations, Customer Support & Development.

• 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.

• Conduct analysis to identify opportunities, turn hypotheses into actionable and well-designed experiments (A/B testing), and provide statistically sound evaluation of test results and business impact.

• 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.

• 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.

6-Month Accomplishments:

• 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.

12+ Month Accomplishments:

• 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.

Requirements:

• 2-5 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 concepts 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 is preferred.

• 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.