Product analyst in matchmaking

Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. We're looking for a Senior Product Analyst to become the independent analytical voice of our Matching & Relationships team.

• 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 our product areas into one coherent picture, cascading them from our 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 our work against corporate goals and challenge the flood of initiatives with a clear, numbers-based point of view.
• Improve our analytical processes where you see room - we're an open team and we act on good ideas.

• 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.
• Будет плюсом: Experience with products where data and causal inference are central - social products, dating, gaming, or two-sided marketplaces (B2B + B2C); Hands-on experience with recommender systems; Background at a data-rich, high-volume product

• 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. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children).
• Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years.
• Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.