Senior Commercial Analyst - Sales

Mollie

Netherlands

On-site

EUR 50,000 - 70,000

Full time

14 days+

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Job summary

Mollie is seeking a Commercial Analyst to shape strategic decisions through data insights. In this role, you'll analyze key commercial challenges and present actionable recommendations to senior leadership.

The ideal candidate has 3 to 5 years of experience in a high-growth fintech or payments environment and is proficient in Excel, Google Sheets, and AI tools. You'll work closely with commercial teams across Europe to optimize performance and drive growth.

Qualifications

  • 3 to 5 years of experience in fintech, payments, or strategy consulting.
  • Fluency with complex Excel or Google Sheets models.
  • Experience using AI tools to enhance analysis.

Responsibilities

  • Lead the analytical response to Mollie's commercial challenges.
  • Build and own performance models for revenue growth.
  • Translate complex analyses into clear recommendations.
  • Own commercial intelligence for business reviews.
  • Automate reporting infrastructure using AI.
  • Collaborate with Revenue Operations and Data for reliable dashboards.

Skills

Commercial Analytics
Data Visualization
Excel or Google Sheets
AI Tools
Strategic Thinking

Education

Background in quantitative or business field

Tools

Claude Code
Claude CoWork

Job description

Your impact

Commercial Planning & Analysis is where data meets decisions. This team sits at the heart of Mollie's growth engine, giving the organisation the accurate, granular commercial insights it needs to move with confidence. You, as the Commercial Analyst, will be shaping how Mollie's Sales teams think, prioritise and act, turning complex data into clear direction that drives real top-line growth.

This role connects long-term strategy with day-to-day execution. You will work directly with commercial leads across Europe, helping them understand where to focus, how to measure progress and what to do next. The business impact is immediate and visible. Your analysis will land in conversations with senior leadership and shape decisions that matter.

As Mollie continues to grow fast, the demand for sharp commercial insight grows with it. Your scope will expand alongside the business, and the quality of your work will directly influence how well our sales organisation performs.

What you'll ship
  • Lead the analytical response to Mollie's most important commercial challenges, sizing market opportunities, pressure-testing assumptions, building the case for GTM investments and turning ambiguity into a clear point of view.
  • Build and own performance models that break down revenue growth into its key drivers, giving commercial leads the visibility they need to prioritise and act with confidence.
  • Translate complex analytical work into crisp, senior-ready recommendations, whether that is a concise one-pager for a lead or a live conversation with the CCO or CFO.
  • Own the commercial intelligence that powers our business reviews, covering pipeline coverage, win/loss analysis, cohort performance and conversion funnel metrics across all regions.
  • Use AI and data visualisation tools to automate reporting infrastructure, so the team's time goes toward decisions rather than data preparation.
  • Partner with Revenue Operations and Data to keep our commercial dashboards reliable and consistent. When you present a number, it is the number.
What you'll bring
  • Around 3 to 5 years of experience in a high-growth fintech, payments company or strategy consulting environment, with a strong focus on commercial, especially Sales, or revenue analytics and a background in a quantitative or business field.
  • Genuine fluency with complex Excel or Google Sheets models. You are comfortable building them from scratch, taking full ownership and maintaining them over time.
  • A proven track record of using AI tools in your day-to-day work, specifically Claude Code and Claude CoWork. You use AI to accelerate output and remove the grunt work that gets in the way of real insight.
  • An action-oriented mindset. Your analysis does not stop at describing what happened. You consistently provide the "so what", formulate a clear recommendation and stand behind it.
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