Senior Product Analyst

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.

Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.

We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.

We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).

About the role

We're looking for a Senior Product Analyst to become the independent analytical voice of our Matching & Relationships team. You'll work across several closely connected product areas - spanning matchmaking, messaging and AI-assisted user experiences - and help us answer the questions that matter: are we moving in the right direction, and where do we invest the least effort for the greatest impact?

This isn't a role about building pretty dashboards. It's about designing rigorous experiments, challenging assumptions with data, and turning numbers into decisions. If you believe in the craft of real analytics - not just prompting an AI for a chart - and you like being the person who keeps the team honest with the data, you'll feel at home here. You'll partner directly with the product managers behind each area and report to the Head of Product, who cares deeply about analytics and will be a highly engaged collaborator.

What you'll do

• 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.

What we’re looking for

Must-have:

• 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.

Nice to have:

• 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.

What do we offer

• 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.
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