Product Analyst

Pearl • San Francisco, CA

8d • Remote

About The Position

As an Analyst at Pearl, you will drive tangible business impact by delivering high-quality insights and recommendations grounded in your ability to combine strategic thinking with rigorous analysis. This role requires not only strong technical skills, but also the confidence and judgment to proactively identify opportunities, challenge assumptions, and advocate for data-informed decisions. You will collaborate closely with Product Managers, executives, and cross-functional teams to uncover insights, shape strategy, and validate ideas through experimentation.

Requirements

• 3+ years of experience in product analytics (preferably within e-commerce or customer experience products)
• Proficiency in analysis and business modeling using Excel
• 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

Nice To Haves

• Experience with Google Analytics, BigQuery, PowerBI, and Python / R is a plus

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

Benefits

• Pay transparency information upon application to those in qualifying jurisdictions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed