Commercial Operations Analyst, Eyeo

• This role suits an analytical professional eager to influence strategy and grow under experienced BI mentorship
• 2–4 years in BI, analytics, or strategy
• Proficiency in SQL and visualization tools (Tableau, Looker, Power BI)
• Strong analytical skills with experience modeling and interpreting large datasets
• Understanding of A/B testing and forecasting
• Excellent communication for non-technical audiences

Desirable

• The Business Intelligence Analyst drives data-informed decisions for the Commercial Team
• Reporting to Associate Director, Commercial Operations, you will analyze supply-side markets, evaluate new business opportunities, and build data tools that support strategic and operational decisions
• Assess market dynamics, competitor benchmarks, and monetization opportunities across supply-side ecosystems
• Evaluate business potential for new products and markets identified by GTM, Product, and Partnerships teams
• Build forecasting, revenue, and pricing models to support planning cycles and scenario analysis
• Translate data insights into clear recommendations that guide commercial and product priorities
• Define KPIs, success metrics, and analytical frameworks with cross-functional partners
• Improve data quality, close data gaps, and deliver dashboards and reporting tools (Tableau, Looker)
• Support A/B tests and operational experiments; quantify impact and recommend next steps
• Improve commercial workflows such as billing, reporting cadence, and team alignment
• Identify operational inefficiencies with Finance and Operations, proposing automation or structural enhancements
• Contribute to incentive models, revenue tracking best practices, and documentation for forecasting and deal evaluation
• Partner closely with leadership, Product, and Commercial teams to ensure analytics align with business goals
• Question assumptions—at all levels—when data suggests alternative paths
• Communicate insights effectively through strong data storytelling
• Support enhancements to BI tools, workflows, and data infrastructure
• Authority and expected outcomes:
• Define KPIs and key data points for relevant markets or product areas
• Recommend analytical priorities and business opportunities
• Insights that surface and quantify new growth opportunities
• Clear evaluation of new markets and product areas
• Accurate, automated forecasts and dashboards used widely
• Recommendations that shape roadmaps and investment decisions
• Measurable improvements in data quality, reporting, and consistency