Product Analyst

About the role

Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Data decides, not egos Courageous: We take risks and challenge the status quo Innovative: We're constantly learning, creating, and adapting Lean: We focus on customers, using lean testing to learn how to serve them best Humble: Past success is not a guarantee of future success As an Analyst at Pearl, you will drive tangible business impact by delivering high-quality insights and recommendations that are grounded in your ability to combine strategic thinking and problem-solving with detailed analysis. This position offers a unique opportunity to collaborate closely with Product Managers and cross-functional teams, uncovering valuable business insights, devising optimization strategies, and validating them through experiments.

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 business recommendations and effectively communicating them to stakeholders, including senior leadership
• Perform descriptive and prescriptive analytics, including experimentation (A/B, MAB), and build reporting to understand 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

Requirements

• 3+ 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, Power BI, and Python / R would be a plus
• Experience with SQL and a strong ability to write complex queries to extract information and arrive at an answer
• Expertise in descriptive and inferential statistical analysis
• Strong experience in setting up and driving A/B testing, hypothesis testing, and analyzing the results
• Ability to translate analysis results into business recommendations, and excellent written and confident verbal communication skills
• Ability to communicate effectively with all levels of management and partners from a variety of business functions
• English proficiency (at a strong upper-intermediate level)
• Our Commitment to an Inclusive Workplace
• AI Disclosure & Informed Consent
• #LI-Remote

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