Confidence can sometimes hold us back from applying for a job. Here’s a secret: there's no such thing as a "perfect" candidate. Poshmark is looking for exceptional people who want to make a positive impact through their work and help create an organization where everyone can thrive. So whatever background you bring with you, please apply if this role would make you excited to come to work every day.

Job Description:

Poshmark is the largest community marketplace for fashion where anyone can buy, sell, and share their personal style. With millions of shoppers and seller stylists, Poshmark brings together a vibrant community every day to express themselves and share their love of fashion.

Responsibilities:

This person will be focused on providing analytics support and data insights to various teams. 

Collaborate closely with stakeholders to understand their requirements, identify challenges, and translate them into clear, actionable analytics requirements.

Provide data-driven insights that lead to actionable business recommendations in a simple, clear, and compelling manner.

Monitor existing metrics, analyze data, and work with internal teams to identify areas for improvement and growth opportunities.

Conduct exploratory data analysis to uncover trends, patterns, correlations, and insights.

Develop or refine key metrics and performance indicators to evaluate business performance, and partner with the data engineering team to implement the necessary data collection processes.

Work independently, demonstrate creativity, and deliver quick, effective results while maintaining a strong team-player attitude.

Collaborate effectively with cross-functional teams, applying best practices from other teams, and consistently aim for high-quality deliverables.

Maintain comprehensive documentation to track key findings, trends, and growth opportunities.

Perform thorough QA to ensure data quality and integrity, following standard procedures for reporting and resolving data issues in collaboration with the appropriate data teams.

Duration: 

6 Months
**Only 2025 pass out can apply 

Technical Skills

Expert proficiency in SQL and MS Excel, with preferred exposure to Python and R.

Strong understanding of data modeling concepts and experience collaborating on the creation of new data warehouse tables.

Hands-on experience with data visualization tools, such as Looker or similar platforms is preferred.

Solid knowledge of basic statistical concepts, particularly statistical hypothesis testing (e.g., t-tests, z-tests). Experience with A/B and multivariate testing is a plus.

Soft Skills

Analytical thinking and problem-solving attitude

Detail-oriented, with expertise in both qualitative and quantitative analysis, and a passion for delivering actionable insights to key stakeholders

Experience creating presentations in MS PowerPoint or a similar tool

Strong business acumen with aptitude to apply it critically towards solving problems

Excellent interpersonal skills — including written and oral communication skills