Pearl - Product Analyst
Requirements
• 5+ years of experience in product analytics (preferably within e-commerce or customer experience products) • Proficiency in analysis and business modeling using Excel • Experience with Google Analytics, BigQuery, PowerBI, and Python / R is a plus • Strong SQL skills with the ability to write complex queries to extract insights • Expertise in descriptive and inferential statistical analysis • Strong experience designing, executing, and analyzing A/B or hypothesis-driven experiments • Confident decision influencer: Comfortable making recommendations and advocating for a point of view backed by data—even when there isn’t a perfect answer • Executive communication: Ability to clearly and concisely communicate insights, trade-offs, and recommendations to senior leadership • Cross-functional collaborator: Proven ability to partner effectively with diverse teams and navigate differing priorities • Curiosity and ownership: Proactively identifies problems and opportunities without waiting for direction • Comfort with ambiguity: Able to operate in loosely defined problem spaces and bring structure to complex questions • Storytelling with data: Translates complex analysis into clear, compelling narratives that drive action • Remote From these States: California, Florida, Georgia, Idaho, Illinois, Massachusetts, Michigan, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Texas, Virginia, Washington, and Wisconsin. • Remote From these States: • Pay Transparency: Pearl will provide pay transparency information upon application to those in qualifying jurisdictions. (Employment is with JustAnswer LLC, a Pearl company. • Pay Transparency: • Our Commitment to an Inclusive Workplace
Responsibilities
• Collaborate with Product and Analytics leadership to structure and perform deep-dive analyses, delivering actionable insights into key business areas • Analyze large datasets (internal and external) to identify growth and optimization opportunities, translating findings into clear, compelling business recommendations • Proactively surface insights and confidently make recommendations, even in ambiguous or evolving problem spaces • Partner cross-functionally with Product, Engineering, Marketing, and executive stakeholders to align on priorities and drive outcomes • Perform descriptive and prescriptive analytics using ML models, A/B and MAB experimentation, while building reports to understand business trends • Track and implement business metrics to drive continuous improvement and support data-driven decision-making • Act as a lead analyst, gaining deep insights into customers to inform strategic decisions
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