Senior Business Intelligence Analyst driving KPI management, forecasting, and profitability insights for MGID’s global native advertising platform. Supporting commercial growth through SQL, Python, BI, and data analysis.
About the role
- Senior Business Intelligence Analyst driving KPI management, forecasting, and profitability insights for MGID’s global native advertising platform. Partnering with Commercial, Demand, Finance, Product, Sales, and Data teams.
Responsibilities
- Support the Commercial team with data-driven decision-making through actionable insights and performance analysis
- Review, optimize, and drive client acquisition and rewards programs across supply and demand sides
- Analyze product usage, customer behavior, acquisition funnels, and client lifecycle data to identify growth, retention, and monetization opportunities
- Partner with Product, Data, Sales, and Finance teams to evaluate the commercial impact of product initiatives and new features
- Conduct cohort, segmentation, funnel, and performance analyses to uncover business drivers
- Introduce and standardize methodologies for client referral programs
- Analyze the customer acquisition journey and implement a unified client lifecycle framework and common business definitions
- Support development, review, and company-wide rollout of key performance indicators
- Provide sales projections and commercial performance analysis across global markets
- Prepare quarterly sales forecasts for the regular business planning cycle
- Define and implement metrics to evaluate commercial performance and monitor strategic initiatives
- Forecast, assess, and track new projects and campaigns led by commercial teams
Requirements
- 5+ years of experience in Business Intelligence, Business Analytics, or a similar analytical role
- Advanced SQL skills, including complex datasets and efficient analytical queries
- Strong experience with BI and data visualization tools such as Tableau, Power BI, or similar
- Understanding of data modeling, data quality, and metric consistency
- Proficiency in Python for data analysis, automation, and complex datasets
- Understanding of applied statistics and quantitative methods for business analysis, forecasting, and decision-making
- Experience with cohort analysis, segmentation, funnel analysis, and KPI development
- Strong business acumen and ability to connect analytical findings with financial and operational outcomes
- Ability to structure ambiguous problems, develop hypotheses, and recommend data-driven solutions independently
- Excellent communication and data storytelling skills, including presenting findings to senior stakeholders
- Ukrainian fluency is nice to have
- Advanced English proficiency
- Experience in AdTech, digital advertising, marketplaces, or platform-based businesses is nice to have
- Understanding of two-sided marketplace dynamics, monetization efficiency, and unit economics is nice to have
- Experience with advanced econometric techniques, causal inference, experimentation, or machine learning is nice to have
- Experience developing financial models or supporting regional P&L management is nice to have
- Practical use of AI-powered tools to accelerate analysis and improve productivity is nice to have
Benefits
- Permanent employment
- Remote worldwide work arrangement
- Opportunity to work in a dynamic, people-first environment
- Innovation, collaboration, and professional growth opportunities
- Contributions valued and potential for career growth
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