Sumsub is looking for a Lead Business Data Analyst to own and develop the unit economics analytics domain, building and maintaining reliable data foundations for margin, CAC, and ROI calculations, and ensuring business units can make informed strategic and operational decisions.
Requirements
- Proficiency in Apache Airflow (or similar) for workflow management and automation.
- Strong knowledge of ClickHouse for high-performance data storage, aggregation, and analysis.
- Expertise in Apache Superset (or similar) for building clear and insightful dashboards.
- Proficiency in Python for data analysis and scripting.
- Experience with DBT (Data Build Tool) for building and maintaining analytical data models is a plus.
Responsibilities
- Build, maintain, and optimize analytical data pipelines that serve as the foundation for unit economics analytics.
- Design and evolve a clear, well-structured data architecture across multiple data domains (product, financial, and operational) to ensure scalability, consistency, and transparency.
- Develop and formalize methodologies for business metrics (e.g., LTV, CAC, product-level margins) in close collaboration with business units and finance teams.
- Ensure data consistency and alignment across dashboards and systems, maintaining a single source of truth for core business metrics.
- Monitor and improve the quality and completeness of revenue data used in analytical and financial reporting.
- Collaborate with finance and product teams on cost allocation frameworks and profitability analysis across products and business lines.
- Oversee the design of intuitive, user-friendly dashboards, ensuring high usability and clarity for stakeholders across departments.
Other
- Lead the team in delivering analytical insights and supporting company-wide decision-making related to unit economics and pricing strategy.
- Mentor and support a team of three analysts, helping them grow technically and analytically, and ensuring high standards of data quality and analytical depth.
- Fully remote and flexible working schedule.
- Working with a product that matters.
- International project.
