Senior Product Analyst (Kiseki)

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 for one of our most innovative dating products. 

Your main tasks will be:

• Evaluating the impact of changes on the product: designing experiments (determining test duration, achievability of results), preparing analytical requirements for the technical task, evaluating the impact of changes using A/B tests and Causal Inference methods, updating documentation on experiments (statuses and results).
• Assisting in generating, prioritizing, validating, and evaluating hypotheses ('what if…?').
• Identifying the reasons for anomalies and deviations in key metrics, signaling existing issues on the product.
• Identifying growth points and proposing hypotheses for improving key product metrics.
• Maintaining product dashboards.

We expect from you:

• At least 4 years of professional experience in analytics, with at least 2 years of specializing in product analytics
• Strong knowledge in mathematical statistics: A/B tests, alternative tests, area of statistical application / increasing test sensitivity / etc.
• Experience with Python/ML: data processing poses no difficulties for you (API/parsing) / building regression models / segmentation / clustering
• Experience with SQL: understanding how to optimize queries / procedures / views
• Understanding of product and marketing metrics: LTV, CPA, retention, conversions, etc.
• Experience working with any BI tool (Superset, Tableau, PowerBI)

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;
• Full payment for professional training, international conferences and meetings;
• Corporate discount for English lessons;
• ​Health benefits. If you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee, according to the paychecks. 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 time off, merch, team building activities, massage certificates, etc.

Sounds good? Join us now!