RevOps Business Analyst

You will join Malt as a Rev Ops Business Analyst for the Project Partners and Customer Onboarding & Success teams in Paris. Reporting to Camille Arnould, Head of , your mission is to empower the teams with data‑driven insights that drive efficiency, productivity, and revenue growth.

Key responsibilities

• Design, build, and maintain automated dashboards and reports to track key performance indicators (KPIs) such as pipeline evolution, win/loss rates, velocity, and quota attainment.
• Conduct in-depth analysis of PPs/COS data to identify trends, patterns, and operational areas for improvement.
• Equip field operations and leadership teams with weekly and monthly performance decks that include actionable insights and recommendations.
• Analyze historical data and market trends to generate accurate sourcing and renewal forecasts at Malt, Segment, and Organization levels.
• Build and maintain the framework enabling weekly forecasts, yearly budgets, and consolidated bottom‑line reports for C‑Levels.
• Provide quarterly sales performance analysis and build reporting frameworks for managers to conduct individual reviews.
• Collaborate with field sales ops, central sales ops, and tool ops to analyze funnels, streamline processes, and monitor optimization impact.

Qualifications

• High level education, ideally with a Master's degree in a quantitative field (Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research) or Business.
• Minimum 3+ years of experience as a data analyst in a fast‑paced and quantitative environment (start‑up, scale‑up, consulting).
• Full‑stack data analyst mastery, writing SQL proficiently with experience in ETLs, data modelling tools (dbt), simple Python scripting, and data visualization tools (Looker, Metabase, Tableau).
• Fluent in English, with strong communication, presentation‑building, and storytelling skills.
• Good business acumen with a "hacker" mindset to leverage technology, and experience in automating tools and reports with AI (preferred).

Department: Finance