
Senior Product Analyst
- Remote
- cairo, Al Qāhirah, Egypt
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.
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