Senior Product Analyst

Job Description

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.
  
  

Job requirements

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.