Senior Product Analyst

Social Discovery Group (SDG) is the 3rd largest social discovery company in the world, uniting 60+ brands with 500 million users. We solve the problems of loneliness, isolation, and disconnection by transforming virtual intimacy into the new normal. Our portfolio includes online communication platforms focusing on AI, game mechanics, and video streaming - Dating.com, DateMyAge, Cupid Media, Dil Mil, Kiseki, and others. 

SDG invests in IT startups around the world. Our investments include Open AI, Patreon, Flo, Clubhouse, Woebot, Flure, Astry, Coursera, Academia.edu, and many others.

We bring together a team of like-minded people and IT professionals specializing in the creation and development of globally impactful social discovery products. Our international team of 1200 professionals and digital nomads works all over the world. 

Our teams of digital nomads work remotely from Cyprus, Malta, the USA, Armenia, Georgia, Kazakhstan, Montenegro, Poland, Latvia, Serbia, Spain, Portugal, UAE,  Israel, Turkey, Thailand, Indonesia, Japan, Hong Kong, Australia and many other locations. 

In August 2024, we achieved Great Place to Work US Certification™! This achievement reflects our core belief that a truly exceptional workplace is built on trust, pride, and camaraderie—not just great perks.

We are looking for a Senior Product Analyst.

Your main tasks will be:

• Design, run, and analyze A/B tests and alternative statistical experiments, improving test sensitivity and choosing the right methodology for each case

• Work with data in Python, including API integrations, parsing, feature preparation, and building simple ML models (regression, segmentation, clustering)

• Write complex SQL queries (window functions), optimize performance, build procedures, and develop analytical data marts

• Track and improve key product and marketing metrics such as LTV, CPA, retention, conversion rates, and funnel performance

• Create dashboards and reports using BI tools (Superset, Tableau, PowerBI) to support product decision-making

We expect from you:

• Strong knowledge of mathematical statistics, experimentation, and applied hypothesis testing

• Confident Python skills for data processing and applied machine learning tasks

• Advanced SQL expertise, including query optimization and data warehouse understanding

• Solid product and marketing analytics background with a clear understanding of unit economics and user metrics

• Experience with BI tools and the ability to communicate insights through data visualization

• Business & goal-oriented mindset: focus on measurable impact and delivering results that matter

• Strong product thinking: ability to connect metrics with real user behavior and pain points

• System-level thinking: ability to move from high-level strategy to detailed execution and back

• Critical thinking: questioning data quality, assumptions, and validating conclusions through cross-checks

• Effective communication skills:

  • clear storytelling supported by numbers and references

  • ability to explain complex topics in a simple way

  • structured conclusions with actionable recommendations and expected impact

  • confidence in presenting and defending analytical results

• High level of ownership and independence: proactively identifying growth opportunities and driving initiatives end-to-end

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;
• 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. 

Sounds good? Join us now!