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Senior Product Analyst (AI Product)

Social Discovery Group -
Remote

Quick apply

Job details

Full-time

Qualifications

Power BI
English
Windows
Tableau
SQL
Analysis skills
Russian
Regression analysis
Communication skills
Python
Marketing

Full job description

Social Discovery Group (https://socialdiscoverygroup.com/) (SDG) is one of the world's largest groups of social discovery companies, uniting millions of users on dozens of products. SDG solves the problem of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG products redefine the way people interact and connect with each other.

Our portfolio includes social entertainment platforms designed to connect people online across different cultures in different parts of the world. This includes globally recognized brands such as DateMyAge, Dating.com, EuroDate, Dil Mil and Cupid Media. SDG has a presence in more than 150 countries.

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 1000+ 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.

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).

We are looking for Product Analyst.

Your main tasks will be:

Identify growth opportunities and propose hypotheses to improve key product metrics.
Support hypothesis generation, prioritization, validation, and impact assessment.
Evaluate product changes using A/B testing and causal inference methodologies.
Detect anomalies and investigate deviations in key product and business metrics.
Build, maintain, and improve product dashboards and reporting.
Deliver actionable insights and recommendations for product and marketing teams.
Work closely with stakeholders to support data-driven product decisions.

We expect from you:

Strong understanding of A/B testing, mathematical statistics, and causal inference.
Strong Python skills for data analysis, segmentation, clustering, and basic ML/regression models.
Strong SQL skills, including window functions and query optimization.
Understanding of key product and marketing metrics: LTV, CPA, retention, conversion, funnels.
Experience with BI tools such as Superset, Tableau, Power BI, or similar.
Strong product mindset and data-driven decision making.
Ability to identify business impact behind metrics and user behavior.
Strong analytical, critical, and systems thinking.
Ability to communicate insights clearly, structure conclusions, and provide actionable recommendations.
High ownership, autonomy, and focus on measurable results.
Strong Russian and English communication skills, both written and verbal.

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!

The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment.

Quick apply

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