Data Analyst, Revenue Operations Intern (M/F/X)

Crossbeam; Paris; On-site; EUR 13,000 - 20,000; Full time

Job summary

Crossbeam is seeking a Revenue Operations Intern to support daily operations, data insights, and AI-driven processes across Sales, Customer Success, Partnerships, Marketing, and Finance. You’ll gain hands-on exposure to how a SaaS business generates revenue, with AI as a co-pilot and your building material.

You’ll learn to analyze pipeline, forecast trends, and automate routine tasks, working with stakeholders in a fast-paced tech environment.

Qualifications

• Experience with SQL and data analysis on a modern stack, with AI automation where possible.
• Familiarity with RevOps or GTM tools is a plus.
• Strong communication skills in English and French.

Responsibilities

• Daily Ops frontline: triage Salesforce access and fixes, data pulls, tool questions; automate recurring requests.
• Handle incoming deals post-close: verify account setup, contract and billing details.
• Analyze pipeline, forecast accuracy, and partner-sourced revenue; build AI-assisted routines.
• Improve scoring using product usage and market signals to help sellers act on insights.
• Design and ship AI workflows: call prep, account briefs, pipeline reviews, CRM hygiene.
• Keep deal flow clean from opportunity to invoice across systems like Salesforce, Ironclad, Maxio.
• Support GTM programs from target accounts to results tracking.
• Train reps on tools and AI workflows; gather feedback to iterate.

Skills

SQL

Data analysis

Excel/Sheets

Bilingual FR/EN

Automation

AI workflows

Tools

Salesforce

HubSpot

Gong

Clay

Ironclad

Maxio

Snowflake

dbt

Github

Job description

About Crossbeam

The highest-performing go-to-market teams have figured out how to turn their partner ecosystem into a revenue engine, and Crossbeam is the platform that makes that possible. Companies use Crossbeam to securely compare CRM data with partners, revealing shared customers, overlapping prospects, and warm paths into deals.

That second-party data becomes Ecosystem Intelligence - a layer of unique signals and recommendations that helps revenue teams uncover new opportunities, target the right accounts, and win faster. We pioneered the category of ecosystem-led growth, and now we’re defining what comes next: go-to-market powered by AI-native ecosystem intelligence.

The role

Revenue Operations is the engine room of a SaaS company - how leads become pipeline, pipeline becomes revenue, and revenue is retained and grown.

As our Revenue Operations Intern, you’ll work directly with the Revenue Operations Lead at the center of Sales, Customer Success, Partnerships, Marketing and Finance. You’ll learn how a SaaS business really makes money, and you’ll learn it the way the job is done now: with AI as your co-pilot and your building material.

Your missions

• Daily Ops frontline: be the first point of contact for the team’s daily Ops requests (Salesforce access and fixes, data pulls, tool questions). Triage and solve them, then turn the recurring ones into automations or AI self-serve answers.

• Incoming deals: handle new deals as they close, from order form checks to account, contract and billing setup so every new customer starts clean.

• Pipeline and forecast: analyze conversion, win rates, sales cycles and partner-sourced revenue, and turn recurring analyses into AI-assisted routines instead of slides.

• Scoring and targeting: improve our account and lead scoring using product usage, ecosystem data and market signals, and help sellers act on it.

• AI for GTM teams: design and ship agents and workflows for concrete sales and CS routines: call prep, account briefs, pipeline reviews, follow-ups, CRM hygiene.

• Revenue processes: keep our deal flow clean from opportunity to contract to invoice (Salesforce, Ironclad, Maxio), and automate the manual steps you find.

• GTM programs: support campaigns from target account lists to results tracking.

• Enablement: train reps on the tools and AI workflows you build, gather feedback, iterate.

What you’ll learn

1. How SaaS revenue works: funnel, pipeline, ARR, retention, pricing, expansion…

2. How to apply AI to real business problems: spotting what’s worth automating, prompting well, building agents and workflows, and checking if the output is right.

3. Analytical rigor: SQL and data analysis on a modern stack, with AI to go faster.

4. Working with stakeholders: scoping needs with sales leaders, shipping, measuring adoption and impact.

You’ll be able to run revenue operations end to end, with AI-native habits most RevOps teams are still trying to build.

Our stack

• AI and automation: Claude, n8n

• GTM systems: Salesforce, HubSpot, Gong, Clay, Ironclad, Maxio

• Data: Snowflake, dbt, Github

You’re drawn to business: sales, growth, how companies scale. You’re comfortable with data (SQL and Excel/Gsheet) and like finding the story in the numbers. You’ve already used AI beyond chatting: automation, a custom GPT, a workflow. Show us. You communicate clearly and enjoy working with many teams. You speak French and English fluently. Final-year internship or second half of a gap year. Previous internship in SaaS, consulting or finance are a plus.

Start date: March, 2027 - 6 months internship.

Paris: 37 av Trudaine 75009, Paris