Sales Operations Analyst Intern H/F Brevo

At Brevo, we're not just building a CRM. With our technology, we're helping millions of organizations build lasting relationships with their customers.
From emails and SMS to WhatsApp, Chat, and Marketing Automation, our tools are intuitive, powerful, and built to scale with every ambition. We give businesses a clear view of the customer journey, so they can focus on what matters: connection.
As a certified B Corp, we're proud to grow with purpose, committed to high standards of social and environmental impact, not just performance.
Today, more than 500,000 businesses across 180 countries-from NGOs like Amnesty International to global brands like Carrefour, eBay, Louis Vuitton, and Michelin-trust Brevo to engage their audiences, cut through complexity, and deliver results. Our reliable technology and 75+ integrations help them create unparalleled customer experiences, without the usual tech headaches.
We recently exceeded 200m ARR and reached a major milestone by becoming a Unicorn, backed by strong growth and global expansion - and we're just getting started!
About the role

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.

Your Core Mission: Revenue Forecasting Excellence

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

Who you are:

Required Qualifications

• 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

Nice to Have (Not required)

• Previous internship in Sales Operations, Business Intelligence, Consulting, or Data Analytics
• Experience with CRM platforms (Salesforce, HubSpot, Brevo CRM, or similar)
• Basic knowledge of SQL for data extraction
• Familiarity with B2B SaaS business models and sales processes
• Coursework or projects involving forecasting, predictive modeling, or time series analysis
• Knowledge of Python or R for data analysis

Why people love working at Brevo:

• A place to grow, together:Join an international team in a bright, collaborative and fast paced environment
• Learning, every step of the way:Access to English classes and 155,000+ courses on Udemy, plus a strong internal culture of knowledge-sharing and support.
• Flexible for life:A remote-friendly setup, budget to support your home workspace, and relocation assistance for international talents.
• A culture that cares:From inter-office trips to regular team events, there are plenty of ways to connect beyond your day-to-day. You'll also find active social, green, and LGBTQIA+ communities, plus Work Council benefits via Leeto, all here to support what matters to you, inside and outside of work.

Our candidate journey:

• 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

Whoever you are, wherever you're from, if this role speaks to you, we'd love to hear from you.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.