Product Data Scientist, Employee Experience & Productivity

What you'll do

• Translate business questions from product leaders into actionable data problems and evidence-based recommendations.
• Extract, clean, and transform data from multiple systems to create reliable datasets for analysis.
• Build and maintain Tableau dashboards to track product performance, adoption, and engagement trends.
• Conduct deep-dive analyses on product usage to identify anomalies and provide insights for stakeholders.
• Use AI tools to accelerate the speed and depth of data analysis and insight generation.
• Develop and maintain reproducible analytical workflows using SQL and version control in GitHub.
• Monitor data quality across sources and collaborate with engineering teams to resolve issues.

What we're looking for

• Bachelor's degree and 3+ years of experience in data analytics, business intelligence, or a related quantitative field.
• Master's degree in a quantitative or business discipline with 2+ years of relevant experience (preferred).
• 3+ years of experience working with product analytics data including feature adoption and user engagement metrics.
• 3+ years of hands-on experience writing SQL to extract, transform, and analyze data from large datasets.
• 3+ years of experience building dashboards and visualizations in Tableau, Looker, or equivalent tools.
• 3+ years of experience using Python or R for data manipulation and analysis.
• 3+ years of experience delivering analytical work in a fast-paced environment with multiple concurrent stakeholders.
• Knowledge of product management, clickstream data, A/B testing, statistical modeling, and version control (preferred).