Lead Marketing Analyst

Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.
Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.

We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.

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 a Lead Marketing Analyst.

           Your main tasks will be:

• Owning marketing analytics processes, reporting frameworks, dashboards, and data quality standards to ensure reliable and actionable insights across the organization;
• Monitoring key marketing and business performance metrics, identifying growth opportunities and performance issues, conducting root cause analysis, and providing data-driven recommendations;
• Designing, prioritizing, and evaluating marketing experiments and A/B tests to optimize acquisition, retention, engagement, and overall marketing efficiency;
• Developing, maintaining, and improving analytical and predictive models used in marketing decision-making, including attribution, forecasting, segmentation, and budget allocation models;
• Driving continuous improvement initiatives by identifying optimization opportunities, automating analytical workflows, and implementing best practices in marketing measurement and analytics.
  We expect from you:
• Higher education in a technical, mathematical, or economics-related field;
• Strong proficiency in SQL;
• Advanced Google Sheets skills, including confident use of pivot tables;
• Strong knowledge of statistics and A/B testing methodologies;
• Hands-on experience in marketing analytics and predictive modeling;
• English proficiency at B2 level or higher.

           Nice to have:

• Experience with Python or R for data analysis and statistical modeling;
• Experience building automated reporting and analytics workflows;
• Experience with marketing experimentation frameworks and incrementality measurement;
• Experience working with attribution models, paid acquisition channels, and advertising platforms (e.g. Google Ads, Meta Ads).
  What do we offer:
  

• REMOTE OPPORTUNITY to work full time;
• 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. 
  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.