Social Discovery Group is the world's largest group of social discovery companies which unites more than 50 brands. For more than 20 years, we have been creating premium international dating services and social discovery apps with a focus on video streaming, AI technologies, entertainment, and game mechanics. Our product portfolio includes Dating.com, Cupid Media, Dil Mil, and many others. The products are already used by more than 500 million users in 150 countries around the world.
SDG Invests in social discovery technology startups around the world. Our Investments include Open AI, Patreon, Flo, RAW, EVA AI, Clubhouse, Magnet, Woebot, Flure, Astry, Coursera, Academia, Harbour, Space, Auto1, DocSend, AppAnnie, Rapyd, Boom Supersonic, Trading, View, K-Health and many others.
We solve the problem of loneliness, isolation, and disconnection with the help of digital reality.
Our digital nomad team of more than 800 professionals works all over the world. Our international team of like-minded people and professionals solves ambitious daily tasks and creates truly global products. We value focusing on results, a proactive approach, and we are always looking for new and unconventional ideas.
Our teams of digital nomads live and work remotely from Cyprus, Malta, the USA, Thailand, Indonesia, Hong Kong, Australia, Poland, Israel, Turkey, Latvia and many others.
We are seeking a Product Analyst to join our Research Center team to work on SDG's Core Products.
About Core Products: SDG creates products with a focus on entertainment and social gaming. SDG products allow you to spend your time online in a very diverse way, find interlocutors and meet new acquaintances, make friends that excite empathic and suppressive, create interactive digital worlds and give / receive virtual gifts, express yourself and receive attention and income from other users.
Your main tasks will include:
- Collecting analytical data from various sources and presenting them on centralized BI dashboards through automation;
- Conducting regular analysis of the main product metrics to identify adverse trends and outliers;
- Organizing and validating A/B tests, ensuring their quality and accurately calculating results;
- Providing analytical support for generating product hypotheses;
- Analyzing raw data arrays to identify growth points or implicit dependencies of metrics.
We expect from you:
- A technical or mathematical higher education;
- Knowledge and experience in applying methods of mathematical statistics and probability theory;
- Proficiency in data extraction, processing, analysis, and visualization tools such as MS SQL, Python, and Excel;
- Experience in running and analyzing A/B tests;
- Deep knowledge of marketing metrics and experience in using them.
What do we offer:
- REMOTE OPPORTUNITY to work full time from any location within GMT+2 - +4 time zone;
- 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 up to $1000 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 the locations where we have offices or co-working. 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.
If you have the required skills, expertise, and passion for product analytics, we would love to hear from you!