Revenue & Pricing Analyst H/F - Mirakl

About Mirakl

Mirakl is the leading provider of eCommerce software solutions. Mirakl's suite of solutions provides enterprises with a transformative way to drive significant growth and efficiency in their online business.

Since 2012, Mirakl has been pioneering the platform economy, empowering retail and b2b enterprises with the most advanced, secure and scalable technology to digitize and expand product assortment through marketplace and dropship, improve efficiency in supplier catalog management and payments, personalize shopping experiences, and boost profits through retail media.

Mirakl is trusted by Macy's, Saks, Henry Schein, The Knot, 1800-Flowers, Best Buy, Lowe's, Ulta and 450+ industry-leading businesses worldwide. For more information :.Role Overview :

As a Revenue & Pricing Analyst, you will leverage your strong analytical abilities to build sophisticated financial and pricing models, support the creation of compelling commercial offers, and serve as a trusted business partner to our experienced enterprise sales teams. You will play a vital role in shaping Mirakl's pricing strategy and ensuring operational excellence across revenue processes.

Key Responsibilities :
- Advanced Pricing Analytics & Deal Desk Support
- Design, refine, and maintain robust pricing models and frameworks for Mirakl's SaaS offerings.
- Partner closely with enterprise sales representatives to analyze complex deal structures and develop tailored pricing proposals that balance customer value and business objectives.
- Build and enhance simulation tools to assess deal profitability, pricing scenarios, and commercial terms for large-scale B2B customers.
- Analyze customer, deal, and product KPIs to generate actionable insights for sales and leadership teams.
- Sales Compensation Management
- Contribute to the design and implementation of data-driven compensation plans, ensuring alignment between sales incentives and company goals.
- Collaborate with Sales Management and Finance to manage monthly and quarterly closings, ensuring accuracy and transparency in commission calculations and reporting.
- Account Management & Retention Analytics
- Provide day-to-day analytical support to the Account Management team at a global level.
- Conduct in-depth analyses on customer performance, including retention, expansion, and churn, to inform strategic decisions.
- Cross-Functional Collaboration
- Work seamlessly with Sales, Finance, and Product teams to ensure alignment of pricing strategies and revenue operations.
- Synthesize complex data into clear, actionable recommendations for stakeholders at all levels.

Requirements :
- 3-4 years' experience in a Business Analyst, Revenue Analyst, or Financial Analyst role, ideally within a B2B SaaS environment.
- Proven expertise in building and managing complex financial or pricing models (advanced proficiency with Excel or similar tools required).
- Demonstrated ability to provide analytical deal support to experienced enterprise sales teams, including pricing, margin analysis, and commercial offer creation.
- Strong experience with sales and CRM tools (e.g., Salesforce).
- Excellent analytical, problem-solving, and critical thinking skills, with the ability to deep dive into data and distill actionable insights.
- Exceptional ability to synthesize and communicate complex information clearly to diverse audiences.
- Fluency in English; experience supporting teams across EMEA is a strong plus.

At Mirakl, you will have the opportunity to directly impact revenue growth and work at the forefront of commercial strategy in a high-growth, global SaaS company.

We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a hyper-growth company at the heart of digital transformation for the world's most forward-thinking organizations, we strongly encourage you to apply to any of our roles, even if you think you're not an exact match.