Middle/Senior Business Intelligence Analyst

MGID is a global native advertising platform that helps brands reach unique local audiences at scale. At MGID, we empower brands and publishers to collaborate transparently through our privacy-first targeting technology. This enables advertisers to drive performance and awareness while allowing publishers to retain and monetize their audiences. Today, we’re creating innovative technologies, and with your help, we aim to reach even greater heights.

We are looking for a Senior Commercial Business Analyst to help the organization make smarter, faster, and more data-driven decisions. This is a high-impact role at the intersection of BI and commercial strategy, partnering closely with Demand and Finance teams, and senior leadership. You will drive performance through KPI management, forecasting, and profitability analysis, while translating data into actionable insights.

Who you are:Technical & Analytical Skills:

• 5+ years of experience in Business Intelligence, Business Analytics, or a similar analytical role.

• Advanced SQL skills, including working with complex datasets and writing efficient analytical queries.

• Strong experience with BI and data visualization tools such as Tableau, Power BI, or similar.

• Good understanding of data modeling, data quality, and metric consistency.

• Proficiency in Python for data analysis, automation, and working with complex datasets.

• Solid understanding of applied statistics and quantitative methods, with the ability to use them in business analysis, forecasting, and decision-making.

• Experience with analytical methodologies such as cohort analysis, segmentation, funnel analysis, and KPI development.

Business & Problem-Solving Skills:

• Strong business acumen and ability to connect analytical findings with financial and operational outcomes.

• Ability to independently structure ambiguous problems, develop hypotheses, and recommend data-driven solutions.

• Excellent communication and data storytelling skills, including presenting findings to senior stakeholders.

• Proactive, curious, and ownership-driven mindset, with the confidence to challenge existing assumptions.

Nice to have:

• Experience in AdTech, digital advertising, marketplaces, or other platform-based businesses.

• Understanding of two-sided marketplace dynamics, monetization efficiency, and unit economics.

• Experience with advanced econometric techniques, causal inference, experimentation, or machine learning.

• Experience developing financial models or supporting regional P&L management.