Senior Product Analyst (Matchmaking)

Senior Product Analyst (Matchmaking)
Social Discovery Group, Serbia or remote

A group of social discovery companies that solves problems of loneliness, isolation, and disconnection through social entertainment platforms designed to connect people online across different cultures and regions. Two-time 'Great Place to Work' winner (USA & Japan, 2024–2025) and Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).

Responsibilities:

— Design and run product experiments end to end - form hypotheses, define test duration and required sample size, assess whether the expected result is achievable, evaluate A/B tests and determine statistical significance;
— Unify metrics across product areas into one coherent picture, cascading them from core company metric (MAP) down to the drivers of acquisition, retention, reactivation and churn;
— Be the independent analytical check on whether the team is moving in the right direction - grounding decisions in data rather than intuition;
— Find the highest-leverage growth opportunities - where the smallest effort delivers the biggest effect on key metrics;
— Track whether we're winning in the numbers - connect metrics to goals, estimates and costs, and flag early when we drift off course;
— Generate, prioritize and validate hypotheses ('what would happen if…?') together with product managers;
— Investigate anomalies and metric deviations, get to the root cause, and raise the alarm on product issues before they grow;
— Calibrate work against corporate goals and challenge the flood of initiatives with a clear, numbers-based point of view;
— Improve analytical processes where you see room.

Requirements:

— 4+ years in product analytics, ideally at a product with large data volumes;
— A degree in mathematics, engineering or a related technical field;
— Strong command of mathematical statistics and probability theory, applied in practice;
— Proven, 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 (Superset a plus);
— Deep understanding of product and marketing metrics — LTV, CPA, Retention, CR — and how they connect to the business;
— Product thinking — you see the user behavior behind every metric;
— High autonomy and ownership — you find the growth points yourself and see them through to impact;
— Critical thinking — you question the data and the decisions around it, and cross-check your conclusions;
— Clear communication — you back arguments with numbers, explain the complex simply, and structure findings around a clear recommendation and estimated impact.

Working conditions:

— REMOTE OPPORTUNITY to work full-time;
— Vacation 28 calendar days per year;
— 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
— Bonuses up to $5000 for recommending successful applicants for positions in the company;
— 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 self-purchase of health insurance or doctor's fees for yourself and close relatives (spouse, children);
— Workplace organization - equipped workplace and necessary equipment (table, armchair, wifi, etc.) in offices or co-working locations, or reimbursement of workplace costs up to $1000 gross once every 3 years;
— Internal gamified gratitude system - receive bonuses from colleagues and exchange them for merchandise, team building activities, massage certificates, etc.

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