Senior Product Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Analyst based in Saudi Arabia. This role offers the opportunity to become an independent analytical voice within a product team focused on matching, relationships, messaging, and AI-assisted user experiences. You’ll work closely with product managers and senior leadership to determine whether product initiatives are delivering meaningful results and where investment can create the greatest impact. Rather than simply building dashboards, you’ll design rigorous experiments, challenge assumptions, investigate anomalies, and turn complex data into actionable product decisions. You’ll help establish a coherent measurement framework across acquisition, retention, reactivation, churn, and other key business drivers. The position combines advanced product analytics, statistical experimentation, business understanding, and strong product thinking. You’ll have a high degree of autonomy, with the opportunity to identify growth opportunities, develop hypotheses, and follow them through to measurable outcomes. This is a fully remote environment suited to an analytical professional who enjoys ownership, critical thinking, and using data to influence product direction. Accountabilities • Design and run product experiments end to end, including hypothesis development, test duration, sample-size requirements, feasibility assessment, A/B testing, statistical significance, and interpretation of results. • Unify product metrics across multiple product areas into a coherent measurement framework, connecting the core company metric to acquisition, retention, reactivation, churn, and other key drivers. • Act as an independent analytical voice, ensuring product decisions are grounded in reliable evidence rather than assumptions or intuition. • Identify high-leverage growth opportunities where relatively small investments or changes can generate meaningful improvements in key metrics. • Connect product metrics to business goals, estimates, and costs, monitoring performance and identifying potential deviations from targets early. • Generate, prioritize, and validate product hypotheses in close collaboration with product managers. • Investigate anomalies and unexpected metric movements, identify root causes, and highlight potential product issues before they become more significant. • Assess product initiatives against broader business objectives and provide clear, data-driven perspectives on priorities and expected impact. • Continuously improve analytical processes, methodologies, and ways of working by identifying opportunities for greater rigor and efficiency. Requirements • 4+ years of professional experience in product analytics, ideally within a product environment with large or complex data volumes. • Bachelor’s degree or equivalent academic background in mathematics, engineering, or a related technical discipline. • Strong practical knowledge of mathematical statistics and probability theory. • Proven hands-on experience designing and running A/B tests, including test sizing, statistical significance, and results interpretation. • Strong proficiency in SQL and Python, with experience in data extraction, processing, analysis, and visualization; familiarity with Superset is a plus. • Deep understanding of product and marketing metrics such as LTV, CPA, retention, and conversion rate, including how these metrics connect to broader business performance. • Strong product thinking and the ability to interpret user behavior behind quantitative metrics. • High autonomy and ownership, with the ability to independently identify growth opportunities and follow initiatives through to measurable impact. • Strong critical-thinking skills, including the ability to challenge assumptions, validate data, and cross-check analytical conclusions. • Excellent communication skills, with the ability to explain complex analytical findings clearly and structure recommendations around measurable impact. • Experience with social products, dating, gaming, or two-sided marketplaces is an advantage. • Hands-on experience with recommender systems is a plus. • Previous experience working with data-rich, high-volume products is desirable. Benefits • Fully remote, full-time opportunity. • 28 calendar days of vacation per year. • 7 additional wellness days per year for personal, household, or recovery needs. • Bonuses of up to $5,000 for successful employee referrals. • 50% reimbursement for professional training, international conferences, and professional meetings. • Corporate discounts for English-language lessons. • Health support, including up to $1,000 gross per year toward self-purchased health insurance or eligible medical expenses for the employee and close relatives when corporate medical insurance is not available. • Workplace support, including equipment and workspace provision at eligible offices or co-working locations. • Reimbursement of workplace costs of up to $1,000 gross once every three years for eligible remote employees, which can be used for co-working, home-office equipment, internet, and related workspace expenses. • Internal gamified recognition program offering rewards that can be exchanged for merchandise, team-building activities, massage certificates, and other benefits. • Initial compensation level or salary range shared with candidates during the recruitment process and before employment begins. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Show more

4+ years of professional experience in product analytics, ideally within a product environment with large or complex data volumes. Bachelor’s degree or equivalent academic background in mathematics, engineering, or a related technical discipline. Strong practical knowledge of mathematical statistics and probability theory. Proven hands-on experience designing and running A/B tests, including test sizing, statistical significance, and results interpretation. Strong proficiency in SQL and Python, with experience in data extraction, processing, analysis, and visualization; familiarity with Superset is a plus. Deep understanding of product and marketing metrics such as LTV, CPA, retention, and conversion rate, including how these metrics connect to broader business performance. Strong product thinking and the ability to interpret user behavior behind quantitative metrics. High autonomy and ownership, with the ability to independently identify growth opportunities and follow initiatives through to measurable impact. Strong critical-thinking skills, including the ability to challenge assumptions, validate data, and cross-check analytical conclusions. Excellent communication skills, with the ability to explain complex analytical findings clearly and structure recommendations around measurable impact. Experience with social products, dating, gaming, or two-sided marketplaces is an advantage. Hands-on experience with recommender systems is a plus. Previous experience working with data-rich, high-volume products is desirable.

Design and run product experiments end to end, including hypothesis development, test duration, sample-size requirements, feasibility assessment, A/B testing, statistical significance, and interpretation of results. Unify product metrics across multiple product areas into a coherent measurement framework, connecting the core company metric to acquisition, retention, reactivation, churn, and other key drivers. Act as an independent analytical voice, ensuring product decisions are grounded in reliable evidence rather than assumptions or intuition. Identify high-leverage growth opportunities where relatively small investments or changes can generate meaningful improvements in key metrics. Connect product metrics to business goals, estimates, and costs, monitoring performance and identifying potential deviations from targets early. Generate, prioritize, and validate product hypotheses in close collaboration with product managers. Investigate anomalies and unexpected metric movements, identify root causes, and highlight potential product issues before they become more significant. Assess product initiatives against broader business objectives and provide clear, data-driven perspectives on priorities and expected impact. Continuously improve analytical processes, methodologies, and ways of working by identifying opportunities for greater rigor and efficiency.