Social Discovery Group

Senior Product Analyst (Matchmaking)

In short

Senior Product Analyst role driving experimentation, metrics unification and growth-opportunity discovery for a social discovery company's matchmaking products. The job centers on designing A/B tests, tracing metrics from the core company metric down to acquisition/retention drivers, and validating hypotheses with product managers. It demands 4+ years of product analytics experience, a technical degree, strong statistics, and fluency in SQL and Python. The position is fully remote, worldwide, full-time.

About
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.

Stop applying.
Get referred.

$10 in free credits

In just 60 seconds, fully on autopilot — Eraldt's AI agents read your CV, map the roles you fit, find live vacancies and the people who can refer you, write personal emails, and get you referred.

This isn't an application: your CV doesn't go to the company, and we don't promise a referral for this exact role.

Discover who else lands interviews on autopilot