Product Analyst
- Full-time
Data Science & Analytics Role
Required Skills & Experience: Bachelor's degree in a quantitative field (Math, CS, MIS, or Economics) and 3+ years of experience in analytics or data science; a Master's degree is a plus.
A solid analytical foundation, with experience working in a quantitative discipline (such as analytics, data science, business intelligence or a related field) or equivalent practical experience.
Advanced proficiency in SQL & business intelligence/visualization tools, i.e., Tableau or Looker.
Hands-on experience with DBT for building & maintaining production-grade analytical models, including tests, documentation & Git-based workflows.
Experience applying analytical and statistical techniques (such as descriptive analytics, cohort analysis, and A/B testing) to answer product or business questions and drive decision-making.
Strong communication and data storytelling skills, with the ability to translate ambiguous stakeholder questions into structured analyses and distill complex results into clear, compelling insights for product partners.
A collaborative, growth-minded approach, with a bias toward learning, and iterating.
Job Description: As part of the Data Science & Analytics team, you'll turn rich product data into insights that power smarter decisions across our Integrated Experiences platform, the shared foundation that powers navigation, identity, digital assistance, and cross-product workflows across every product line. In this role, you'll partner closely with Product & other cross-functional teams to support key product initiatives with robust metrics strategy, analytical frameworks, and actionable deep dives. You'll work hands-on with large, complex datasets to answer critical product questions, quantify opportunities, and measure the impact of features tied to our platform priorities. The ideal candidate has a strong foundation in data analysis, experience working with product teams, and a proactive mindset for uncovering opportunities through data. This person should be comfortable working with large datasets, building dashboards, and influencing decisions through thoughtful analysis.