Job Description
Lead Product Analyst
About Our Client: This is a fast-growing social commerce startup working in the creator-led e-commerce space, enabling content creators to monetize product recommendations while offering users a seamless online shopping experience
Job Title: Lead Product Analyst
Location: Gurugram
Experience: 4-6 yrs
Educational Qualification: Background in CS, Engineering, or equivalent (pedigree preferred)
About the role: As the Product Analyst Lead, you will move beyond simple data reporting to become a core strategic driver for the company. You will lead a team of three analysts and act as a primary thought partner to Product Managers and Leadership. Your goal is to translate massive amounts of user data into a narrative that shapes the product roadmap, optimizes the creator journey, and ensures sustainable growth. This is a leadership position designed for someone who possesses both technical rigor and high product intuition.
Responsibilities:
Define and own the product metrics framework (activation, engagement, retention, monetization, creator success, etc.) and ensure consistency across teams.
Lead and mentor the product analytics team (currently 3 analysts) – build career paths, set best practices, and elevate the craft of analytics at Wishlink.
Partner with Product Managers and Leadership to define hypotheses, design experiments, and synthesize insights into strategic recommendations.
Standardize experimentation practices: A/B test design, statistical validity, and company-wide learnings.
Scale self-serve analytics: Work with Data Engineering to improve tracking, event logging, and dashboarding, reducing repetitive ad-hoc analysis.
Drive cross-POD insights: Connect dots across multiple squads to highlight trade-offs, uncover hidden patterns, and provide a unified view of product health.
Be a thought partner to leadership: Contribute to OKR setting, board decks, and investor discussions with a data-driven narrative of our product trajectory.
Requirements:
4+ years of experience in product analytics, data science, or related roles in consumer tech
Strong hands-on ability in SQL, data visualization, and product event instrumentation.
Deep knowledge of experimentation and statistical methods (A/B testing, cohort analysis, causal inference).
Proven ability to mentor analysts and establish scalable processes for analytics.
Strong product intuition – able to challenge PMs and leaders with data-informed hypotheses and insights.
Excellent communication skills – able to tell compelling stories with data for both technical and non-technical audiences.
Experience in content, social, or commerce startups.
About Hireginie: Hireginie is a prominent talent search company specializing in connecting top talent with leading organizations. We are committed to excellence and offer customized recruitment solutions across industries, ensuring a seamless and transparent hiring process. Our mission is to empower both clients and candidates by matching the right talent with the right opportunities, fostering growth and success for all.
About Our Client: This is a fast-growing social commerce startup working in the creator-led e-commerce space, enabling content creators to monetize product recommendations while offering users a seamless online shopping experience
Job Title: Lead Product Analyst
Location: Gurugram
Experience: 4-6 yrs
Educational Qualification: Background in CS, Engineering, or equivalent (pedigree preferred)
About the role: As the Product Analyst Lead, you will move beyond simple data reporting to become a core strategic driver for the company. You will lead a team of three analysts and act as a primary thought partner to Product Managers and Leadership. Your goal is to translate massive amounts of user data into a narrative that shapes the product roadmap, optimizes the creator journey, and ensures sustainable growth. This is a leadership position designed for someone who possesses both technical rigor and high product intuition.
Responsibilities:
Define and own the product metrics framework (activation, engagement, retention, monetization, creator success, etc.) and ensure consistency across teams.
Lead and mentor the product analytics team (currently 3 analysts) – build career paths, set best practices, and elevate the craft of analytics at Wishlink.
Partner with Product Managers and Leadership to define hypotheses, design experiments, and synthesize insights into strategic recommendations.
Standardize experimentation practices: A/B test design, statistical validity, and company-wide learnings.
Scale self-serve analytics: Work with Data Engineering to improve tracking, event logging, and dashboarding, reducing repetitive ad-hoc analysis.
Drive cross-POD insights: Connect dots across multiple squads to highlight trade-offs, uncover hidden patterns, and provide a unified view of product health.
Be a thought partner to leadership: Contribute to OKR setting, board decks, and investor discussions with a data-driven narrative of our product trajectory.
Requirements:
4+ years of experience in product analytics, data science, or related roles in consumer tech
Strong hands-on ability in SQL, data visualization, and product event instrumentation.
Deep knowledge of experimentation and statistical methods (A/B testing, cohort analysis, causal inference).
Proven ability to mentor analysts and establish scalable processes for analytics.
Strong product intuition – able to challenge PMs and leaders with data-informed hypotheses and insights.
Excellent communication skills – able to tell compelling stories with data for both technical and non-technical audiences.
Experience in content, social, or commerce startups.
About Hireginie: Hireginie is a prominent talent search company specializing in connecting top talent with leading organizations. We are committed to excellence and offer customized recruitment solutions across industries, ensuring a seamless and transparent hiring process. Our mission is to empower both clients and candidates by matching the right talent with the right opportunities, fostering growth and success for all.
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