Sr. Data Analyst (Growth)

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 looking for a Senior Data Analyst to join our Growth Analytics team. In this role, you'll partner closely with our Growth Team stakeholders to transform actionable insights that drive marketing performance and business outcomes by helping shape and optimize strategies across paid channels.

This is a high-impact role for someone who loves using data to solve real business problems. You’ll spend your time analyzing trends, building dashboards, and collaborating cross-functionally to improve traffic quality and campaign effectiveness.

Responsibilities:

This role will be focused on providing analytics support and data insights to major business operations areas at Poshmark, including Growth, Marketing, Retained Growth, and Communications.

• 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

• 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:

• 3+ 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 is preferred

• Ability to communicate data at an appropriate level for the audience