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Revenue Operations Analyst

Hybrid in Madrid·Full-time·Added 10 days ago

Infront Financial Technology

12 open roles

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Overview

Job details

Full-time hours
Per the ad.
Hybrid
Office and home days — the ad has the split.

Requirements

Have the right to work in Spain
Infront Financial Technology doesn't mention sponsorship in the ad.
Work in English
English is required, per the ad.
Be near Madrid for hybrid days
No relocation package mentioned.
Have 2+ years of experience
Junior-level role.

Requirements

What we're looking for

At least 2-3 years of experience of data analytics in a commercial setting Genuine analytical curiosity. You don't wait to be told what to look at - you notice something interesting and dig in. You'd rather find the real answer than the first plausible one. Comfort with SQL and a modern analysis toolkit. Python or R is a strong plus, especially if you've used it for regression, trend, or cohort analysis. You're not fazed by messy, real-world data. Real, practical fluency with AI tools. You already use tools like Claude, or similar to work faster and go deeper - not as a novelty. A decision-oriented mindset. When you finish an analysis, your instinct is to ask "so what should we do about this?" - and you're comfortable saying so clearly. Confident communication across audiences. You can explain the same finding differently to an analyst, a manager, and a board member. Project ownership. You can scope your own work, manage competing priorities, and see things through to delivery. Comfort with SaaS commercial metrics (ARR, NRR, pipeline coverage, win rates, churn) is a plus - or the ability to demonstrate you can learn them quickly from a related analytical background (e.g., FP&A, retail, financial services, or another commercial function). Experience with Salesforce or similar CRM - no certification required today. Our offer Health & wellness: Benefit from wellbeing initiatives tailored to local needs, including access to an employee assistance programme that provides confidential support to employees and their families. Holiday: Enjoy competitive holiday entitlement aligned with local markets, so you can rest and recharge. Remote work: Enjoy the opportunity to work one day a week from home, with flexible working hours where possible. You may also request to work up to four weeks per year from a different location. Learning & development: Support your career progression with access to learning resources, ongoing conversations with your manager, and opportunities to share the knowledge you gain with your team. Culture & impact: Be part of an international team with a startup mindset and play a key role in making a meaningful impact. Our offices: Work from Europe's leading financial centres and be at the heart of where finance happens. Additional notes All candidates selected for employment are subject to Pre-Employment Screening. This process includes professional reference and background checks conducted by our third-party partner, ZINC. These screenings are part of our commitment to ensuring a secure, compliant, and trustworthy workplace. We kindly ask that you submit your CV in English.

Languages

English : 3- Business fluent

The role

We're looking for a Revenue Operations Analyst to help build the reporting and analytical backbone of our Revenue Operations function. You'll own how we measure the health of our revenue engine - pipeline, conversion, velocity, seller productivity, and forecasting accuracy - and turn that into insights that inform decisions from the management team up to the Board. This is a role for someone who treats analysis as a starting point for a decision, not an end in itself. You'll work daily in Salesforce and our BI environment, but we're not looking for a Salesforce expert - we're looking for someone with real analytical curiosity who uses modern AI tools as part of how they naturally work, and who wants to grow their Salesforce and RevOps expertise over time with our support. Key Responsibilities Own pipeline analytics and revenue performance reporting - pipeline health, stage conversion, deal velocity, coverage ratios, seller productivity, and other key commercial KPIs. Go beyond the numbers: proactively investigate trends and anomalies, form hypotheses, and let the data guide what you dig into next. Turn analysis into clear, actionable recommendations for the management team, ExCo, and Board - not just dashboards. Support forecasting with data-driven, empirical baselines that inform real commercial decisions. Build and maintain dashboards, reports, and data models across Salesforce and our BI environment. Spot recurring manual reports or analyses and automate them - using traditional automation and modern AI tools as part of your everyday workflow. Apply techniques like trend, regression, and cohort analysis where they add real insight. Partner with our Sales, CRM and BI Specialist to keep data clean, governed, and trustworthy. Adjust how you present findings depending on your audience - a quick operational check-in looks different from a Board update.