product analyst in social discovery

Social Discovery Group is a group of social discovery companies that addresses loneliness, isolation, and disconnection. Its social entertainment platforms connect people online across different cultures and regions.

• Design and run product experiments end to end, including forming hypotheses, defining test duration and sample size, assessing feasibility, evaluating A/B tests, and determining statistical significance;
• Unify metrics across product areas, cascading them from the core company metric (MAP) to the drivers of acquisition, retention, reactivation, and churn;
• Provide an independent, data-based assessment of whether the team is moving in the right direction;
• Identify high-leverage growth opportunities where the smallest effort can have the greatest impact on key metrics;
• Track performance against goals, estimates, and costs, and flag when results drift off course;
• Generate, prioritize, and validate hypotheses together with product managers;
• Investigate anomalies and metric deviations, find root causes, and flag product issues early;
• Calibrate work against corporate goals and challenge initiatives with a clear, numbers-based perspective;
• Improve analytical processes by identifying and implementing good ideas.

• 4+ Years of experience in product analytics, ideally with large data volumes;
• Degree in mathematics, engineering, or a related technical field;
• Strong practical command of mathematical statistics and probability theory;
• Hands-on experience designing and running A/B tests, including sizing, significance, and interpretation;
• Fluency in SQL and Python; comfortable with data extraction, processing, and visualization;
• Deep understanding of product and marketing metrics, including LTV, CPA, Retention, and CR, and how they connect to the business;
• Product thinking and understanding of the user behavior behind metrics;
• High autonomy and ownership, with the ability to identify growth opportunities and deliver impact;
• Critical thinking, including questioning data and decisions and cross-checking conclusions;
• Clear communication; able to support arguments with numbers, explain complex ideas simply, and structure findings around recommendations and estimated impact;
• Nice to have: experience with social products, dating, gaming, or two-sided marketplaces (B2B + B2C) where data and causal inference are central, hands-on experience with recommender systems, background at a data-rich, high-volume product, Superset.

• 28 Calendar days of vacation per year;
• 7 Wellness days per year for household issues or recovery without taking sick leave;
• Bonuses of up to $5000 for recommending successful applicants;
• 50% Payment for professional training, international conferences, and meetings;
• Corporate discount for English lessons;
• Health benefits: up to $ 1,000 gross per year per employee for health insurance or doctor’s fees for the employee and close relatives if not eligible for corporate medical insurance;
• Equipped workplace and necessary equipment at company offices or co-working locations; reimbursement of workplace costs up to $ 1000 gross once every 3 years in other locations;
• Internal gamified gratitude system with bonuses redeemable for merchandise, team-building activities, massage certificates, and other items;
• The initial pay level or pay range will be shared during the recruitment process and before employment begins.