Product Data Analyst

Responsibilities:

• Conduct data analysis to make product recommendations, track product KPIs and report on product health metrics.
• Design A/B experiments, analyze results and communicate to broader stakeholders.
• Apply your expertise in quantitative analysis, data mining, and the presentation of findings to multiple levels of stakeholders, creating visual displays of quantitative information.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.
• Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.

Requirements:

• BA/BS or master’s degree with emphasis on coursework of a quantitative nature.
• At least 4 years of work experience.
• Experience running A/B tests and evaluating results.
• Experience with pulling data from large datasets using SQL or Hive and using statistics to answer business / product questions.
• Capable of translating analysis results into business recommendations.

Key Skills:

• Communication.
• Critical thinking.
• Data visualization.
• Machine learningData cleaning.
• Data cleaning.
• Problem solving.
• Excel.