



Join Brevo's Revenue Operations team as a Sales Operations Analyst Intern for an impactful 6-month mission focused on building and optimizing our sales forecasting capabilities. This is a unique opportunity to dive deep into revenue analytics, work with real business data, and directly contribute to strategic decision-making at a fast-growing SaaS scale-up. As the owner of our forecasting improvement project, you'll work closely with the Sales Operations Manager and Sales leadership to build data-driven forecasting models that increase prediction accuracy and provide early visibility into revenue performance. You'll also support the team with dashboard creation and ad-hoc analytical requests. This internship offers hands-on experience with enterprise-grade sales tech stack (CRM, BI tools, analytics platforms) and the chance to develop highly sought-after skills in B2B SaaS operations. Your Impact at Brevo: Core Project: Revenue Forecasting & Predictive Analytics (70% of time) * Forecasting Model Development: Build and iterate on forecasting models to predict monthly and quarterly revenue with increasing accuracy * Data Analysis: Analyze historical sales data to identify patterns, seasonality, and leading indicators of sales success * Pipeline Analytics: Monitor pipeline health, coverage ratios, and deal progression to identify risks and opportunities early * Forecast Accuracy Tracking: Measure and report on forecast accuracy, identifying sources of variance and recommending improvements * Methodology Documentation: Document forecasting methodologies, assumptions, and best practices for scalable processes * Stakeholder Reporting: Prepare weekly and monthly forecast reports for Sales and Revenue leadership with clear insights and recommendations Supporting Activities: Dashboards & Analytics (30% of time) * Dashboard Creation: Design and build sales performance dashboards tracking key metrics (pipeline health, conversion rates, win rates, quota attainment) * Data Visualization: Create clear, compelling visualizations that make complex data accessible to Sales teams * Ad-hoc Analysis: Support Sales leaders with rapid analytical requests and data pulls * Data Quality: Help maintain CRM data integrity and identify data quality issues impacting reporting accuracy