Social Discovery Group (SDG) is a global technology company that builds apps at the intersection of dating, social, and entertainment. The company's portfolio includes 70 social discovery platforms with a focus on AI, game mechanics, and video streaming. We actively support and invest in social discovery startups worldwide through our CVC fund.
More than 500 million people in 150 countries enjoy our products, and we strive to have ten times as many.
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 1200 professionals works worldwide. Together, we are solving the prevalent problem of loneliness and shaping Social Life 3.0 — a new digital reality where people can fulfill their needs for communication and attention from other people and artificial life forms.
We are looking for a Middle Product Analyst who will join our Video Services team.
Video Services is a team dedicated to creating innovative video services on one of the most well-known dating platforms. We specialize in 1-on-1 video calls and streaming, and we are currently looking for an analyst who shares our passion for technology and our drive for success.
Your main tasks will be:
Designing and conducting product experiments (defining test duration, assessing result feasibility, evaluating A/B tests, and determining significance).
Assisting in the generation, prioritization, validation, and evaluation of hypotheses (e.g., 'What if...?').
Identifying the causes of anomalies and deviations in key metrics, and alerting the team to any existing product issues.
Identifying growth opportunities and hypotheses for improving key product metrics.
Creating and maintaining product dashboards.
We expect from you:
Hard Skills:
A degree in mathematics or technical education.
Knowledge and experience in applying methods of mathematical statistics and probability theory.
Proficiency with tools for data acquisition, processing, and visualization (MS SQL, Python, Excel, SuperSet).
Experience in conducting A/B tests.
Understanding of product and marketing metrics (LTV, CPA, Retention, CR, etc.).
Soft Skills:
Product Thinking: Ability to think about the product in terms of user metrics and understand user behavior behind the metrics.
System Thinking: Can think from the general to the specific and vice versa.
Critical Thinking: Questions the nature of data/decisions and suggestions, doubts, and performs cross-checks.
Effective Communication:
Storytelling: Uses numbers and references to support arguments.
Can explain complex concepts in simple terms.
Conclusions are structured and include a call to action with an effect assessment.
Negotiates with colleagues, presents, and defends analytical results.
Independence and Responsibility:
You don't wait for tasks from a manager but proactively seek growth opportunities.
You take responsibility for the result and see the task through to completion.
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 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 $1,000 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 are passionate about data, skilled at uncovering valuable insights, and eager to work on products that impact millions of people worldwide, we want you on our team!
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