Senior 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 a Senior Product 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 conceive and structure analysis and deliver highly actionable insights from "deep dives" into specific areas of our business.
• Analyze a tremendous amount of internal & external data to find growth & optimization opportunities for the business.
• Package and communicate findings and recommendations to a broad audience (including senior leadership).
• Perform descriptive and prescriptive analytics, including experimentation (A/B, MAB), and build reporting to understand trends.
• Implement and track business metrics that will help drive the business.
• Help determine growth strategy from a marketing and operations perspective.
• Opportunity to operate in an individual capacity as a lead analyst to understand the customer and guide informed strategic decisions & executions.

Requirements

• 5+ years of experience in e-commerce or customer experience products.
• Proficiency in analysis and business modeling using Excel.
• Experience with Google Analytics, BigQuery, Power BI, and Python / R.
• 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 or 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.
• Advanced English level.
• Our Commitment to an Inclusive Workplace
• AI Disclosure & Informed Consent
• #LI-Remote

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