Sales Operations Analyst Intern, Brevo

• Currently pursuing or recently completed a Master's degree in Business, Engineering, Data Science, Statistics, Economics, or related quantitative field
• Strong analytical skills with comfort working with data, building models, and deriving insights
• Technical proficiency with:
• Excel/Google Sheets (advanced functions, pivot tables, charts, basic modeling)
• Basic understanding of databases and data structures
• Willingness to learn SQL, BI tools (Omni, Tableau, Looker, Metabase), and CRM platforms
• Quantitative mindset: Comfort with numbers, statistics, and analytical problem-solving
• Excellent communication skills: Ability to present findings clearly to non-technical audiences
• Fluency in English (written and spoken) is required
• Curiosity and proactivity: Eager to learn, ask questions, and take ownership of your project
• Whoever you are, wherever you’re from, if this role speaks to you, we’d love to hear from you

Desirable

• 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
• 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

• Submit your application with CV and cover letter explaining your interest in RevOps and analytics
• Introductory call (30 min) with the Talent Acquisition
• Case study - analytical exercise to assess problem-solving approach
• Manager interview (60 min) with Sales Operations Manager - discuss case study and experience
• Team meet (30 min) with RevOps team members