Senior Product Analyst

Role Overview

This role represents a unique opportunity to contribute as a Senior Product Analyst based remotely in Saudi Arabia. You will serve as a key analytical voice within the product team focused on areas such as matching algorithms, user relationships, messaging systems, and AI-driven user experiences.

You will collaborate directly with product managers and senior executives to evaluate the effectiveness of product initiatives, guiding investment decisions to maximize impact. Your approach will go beyond standard dashboard creation, involving designing rigorous product experiments, testing hypotheses, investigating unusual data patterns, and translating complex datasets into actionable insights for product development.

Key Responsibilities

• Create and manage end-to-end product experiments: formulating hypotheses, determining test duration and sample sizes, assessing feasibility, performing A/B tests, and interpreting statistical results.
• Develop and integrate a unified measurement framework for product metrics, linking company-wide performance indicators with customer acquisition, retention, reactivation, and churn.
• Provide independent, evidence-based analytics to ensure product decisions are data-driven rather than based on assumptions.
• Identify impactful growth opportunities where minor investments or changes can significantly improve crucial performance metrics.
• Align product metrics with overarching business goals, tracking performance closely and detecting early deviations from targets.
• Collaborate with product managers to generate, prioritize, and validate hypotheses related to product development.
• Investigate anomalies and unexpected metric fluctuations to pinpoint root causes and surface potential product issues promptly.
• Evaluate product initiatives within the context of broader business objectives and communicate clear, data-supported priorities and anticipated impacts.
• Drive continual enhancements in analytical methodologies and operational efficiencies.

Candidate Requirements

• Minimum of 4 years experience in product analytics, preferably within environments handling large or complex data sets.
• Bachelor’s degree or equivalent in mathematics, engineering, or a related technical field.
• Solid understanding of mathematical statistics and probability principles.
• Proficient in designing and executing A/B testing, including considerations for test sizing and statistical significance.
• Strong skills in SQL and Python for data extraction, transformation, analysis, and visualization, with Superset knowledge considered an advantage.
• In-depth familiarity with product and marketing metrics, such as Lifetime Value (LTV), Cost Per Acquisition (CPA), retention rates, and conversion metrics, and how these relate to broader business outcomes.
• Excellent product insight and ability to interpret user behaviors from quantitative data.
• Capacity for high autonomy and ownership, with proven ability to pursue growth opportunities through to measurable results.
• Strong critical thinking, capable of challenging assumptions and ensuring data integrity.
• Effective communication skills for translating complex analytical results into clear recommendations focusing on measurable product impact.
• Experience with social platforms, dating apps, gaming, or two-sided marketplaces is a plus.
• Hands-on familiarity with recommender systems is advantageous.
• Previous experience working with high-volume, data-rich products is desirable.

Benefits and Perks

• Fully remote, full-time position.
• Annual leave of 28 calendar days plus 7 wellness days for personal or family care.
• Referral bonuses up to $5,000 for successful recommendations.
• Up to 50% reimbursement for professional training, international conferences, and relevant professional events.
• Corporate discounts available for English language courses.
• Health support including up to $1,000 yearly reimbursement towards private health insurance or eligible medical costs for self and close relatives where corporate insurance is not provided.
• Provision of work equipment and spaces at eligible office locations or co-working venues.
• Remote work cost reimbursement up to $1,000 every three years to cover co-working, home-office setup, internet, and related expenses for eligible remote employees.
• An internal, gamified recognition program offering rewards such as merchandise, team activities, and wellness benefits.
• Compensation details or salary range communicated transparently before employment starts.

Additional Information

This position is handled by a partner organization responsible for all application assessments and subsequent steps. The hiring process utilizes AI-powered candidate screening to match applicants against core role criteria, with final interviews and decisions made internally by the company.

Applicants' personal data are processed in compliance with applicable data protection laws (including GDPR). AI tools may assist in reviewing applications but final hiring decisions are human-managed.