Senior Data Analyst for the International team will work on providing Analytical insights to Poshmark teams in Geographies outside the US ). Given high growth expected in these geographies, it's an exciting opportunity for analysts to have high impact with data driven insights. This role also requires analysts to work with different stakeholders like marketing, product, business and operations teams which makes it a challenging role.

Responsibilities:

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

• 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 close any data issues

6-Month Accomplishments: 

• Familiarity with the Poshmark platform, key business stakeholders, and relevant KPIs
• Gain expertise of Poshmark's internal data systems and platforms 
• Contribute to projects by working on analyses and investigations with assistance from
• Ensure that they build in time/process to QA data and insights
• Provides input and recommendations to achieve project goals

12 Month Accomplishments:

• Able to take on projects more independently with support from manager wherever required
• Develop insight and knowledge of long term trends and factors influencing the business
• Demonstrate ability to lead conversations with and present data-driven analysis to business stakeholders and partners
• Mentor Teammates and Data Analysts in the team and become subject matter expert of their domain

Requirements:

• 2-5 years of analytics experience 

Technical Skills:

• Expert knowledge of SQL and MS Excel. Exposure and familiarity with Python, R, Spark SQL preferred
• Understanding of data modeling concept and partnering on building new DW tables
• Good to have: Hands-on data visualization experience through Looker or comparable platform
• 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

Soft Skills:

• Detail oriented and expert in both qualitative and quantitative analysis with a passion for delivering actionable insights to key stakeholders
• Strong business acumen with aptitude to apply it critically towards solving problems
• Excellent interpersonal skills — including written and oral communication skills