Revenue Operations

• Develop and maintain predictive and prescriptive models applied to sales forecasting, pricing, elasticity analysis and customer segmentation.
• Analyze commercial performance data and customer behavior to identify trends, patterns and optimization opportunities.
• Create and automate dashboards and analytical reports (Power BI, Tableau, or Looker) to support sales leadership decision-making.
• Conduct A/B tests and causal analyses to measure the impact of campaigns and commercial initiatives.
• Collaborate with data engineers to design pipelines and ensure the quality and governance of the data used.
• Translate technical results into clear insights and strategic recommendations for business areas.
• Support the management team in building performance indicators (KPIs) and standardized analytical methodologies.

Mid-level Revenue OPS Intelligence Analyst – Data Scientist

RevOps Coordinator

RevOps Architect

Senior Revenue Operations Analyst

Senior Revenue Operations Analyst