Senior Marketing Analyst

Описание вакансии

Senior Marketing analyst

Worldwide

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 Senior Marketing Analyst.

Your main tasks will be:

• Designing the upper-level logic for marketing budget management: rules and models for allocating budget across products and traffic sources, validating the approach and preparing it for automation.
• Developing and validating Early LTV metrics/models to support intra-week performance marketing and budget allocation decisions.
• Building analytical frameworks and tools for performance diagnostics: identifying drivers of changes, growth opportunities and anomalies across products, channels and campaigns.
• Participating in the development of an internal AI-based analytics tool for performance analysis, root-cause detection and opportunity discovery.
• Providing analytical support for the unified BI layer where needed: metric definitions, data validation and selected analytical use cases.

We expect from you:

• Experience with A/B testing;
• Strong SQL skills: ability to independently work with large datasets, build complex analytical queries, and validate data quality.
• Strong knowledge of mathematical statistics and experimentation; ability to design validation/backtesting methodology and correctly interpret results.
• Strong understanding of performance marketing economics and metrics: LTV, CAC/CPA, ROI/ROAS, conversion funnels, cohorts, and attribution.
• Ability to build decision-making models and translate analytical findings into clear business rules/recommendations.
• Strong spreadsheet skills (Google Sheets / Excel).
• Experience with BI tools (e.g. Superset, Tableau, Power BI).
• English level B2+.

Strong advantage:

- Python for data analysis/modeling;

- experience with forecasting, optimization or budget allocation models;

- experience with Early LTV / predictive LTV;

- experience building automated analytical products or AI/LLM-based analytics tools. Откликнуться