Senior Product Analyst

Senior Product Analyst

Contract: Full-time, permanent
Location: Remote / Flexible

Role Overview

As a Senior Product Analyst, you’ll partner closely with our Tech, Growth, Commercial, and Business Operations teams to uncover insights that improve conversion, retention, and customer satisfaction. You’ll own the end-to-end analytics lifecycle from defining success metrics and ensuring accurate instrumentation to delivering actionable insights that drive product performance.

This role blends analytical depth with business intuition. You’ll be a key player in translating raw data into meaningful decisions that enhance customer experience and drive growth.

Key Responsibilities

• Own end-to-end analysis of the user funnel to uncover drop-offs, quantify business impact, and identify actionable opportunities for improvement.

• Partner with Tech to validate event tracking, ensure data accuracy, and strengthen instrumentation.

• Define, monitor, and explain key performance metrics (conversion rate, retention, reorder rate, refund cycle time).

• Correlate operational issues (delivery delays, promo or payment errors) with customer satisfaction trends.

• Extract and quantify customer pain-points from reviews and support data to guide CX initiatives.

• Design and evaluate experiments in collaboration with Growth, Commercial, and Operations teams.

• Build and automate dashboards and recurring performance reports for leadership visibility.

• Translate complex data into clear, visual, and actionable recommendations that influence decisions.

• Drive a culture of data-driven decision-making across all business and technical functions.

Required

• 5+ years of experience in product, growth, or business analytics within digital platforms (delivery, marketplace, or e-commerce).

• Strong experience with data visualization and BI tools (Tableau, Metabase, or Looker).

• Expertise in behavioral analytics platforms such as MoEngage, Mixpanel, Heap, Amplitude, or Google Analytics, with the ability to translate event-level data into actionable insights.

• Demonstrated ability to perform funnel, cohort, and A/B test analysis, and to interpret results in a clear business and CX context.

• Proficiency in SQL and Python (pandas, matplotlib, seaborn) or equivalent analytical tools.

• Excellent communication and stakeholder management skills — able to present complex findings to both technical and non-technical audiences.

• Good written and verbal communication in English.

Preferred

• Experience collaborating with Tech, Growth, and Operations teams to optimize product performance and customer experience.

• Working knowledge of event instrumentation and data pipeline concepts (GA4, BigQuery, Amplitude, PostHog).

• Familiarity with customer experience measurement frameworks (NPS, CSAT, VOC)

• Understanding of marketplace dynamics, including vendor performance, delivery reliability, and consumer satisfaction drivers.