Revenue Assurance Analyst (For contingent workers)

Revenue Assurance at Booking.com focuses on the proactive identification, quantification and prevention of revenue leakage and risk management across our products and business models.

As a Revenue Assurance Analyst, you will be a key driver of analytics and problem solving for the Revenue Assurance and Credit Risk team, owning complex analyses and solutions that safeguard revenue and improve our risk management processes. You will combine deep business understanding of finance, payments and partner lifecycle with strong analytical skills to detect leakage patterns, quantify financial impact, and design scalable controls and data products. You will work closely with stakeholders in Finance, FinTech, Product, Commercial, Fraud, Tax and other teams to turn insights into concrete initiatives and durable solutions.

Key Responsibilities:

• Design, lead and deliver complex analytics work to identify, size and monitor revenue leakage problems from initial hypothesis and data scoping through to implementation of dashboards, controls or product changes.

  
  

• Own workstreams on focus areas for data Analytics solutions based on business requirements, contributing to bringing them from the initial idea-generation phase to implementation with some supervision and support.

  
  

• Work with business owners to frame ambiguous issues into clear analytical questions, define success metrics and translate findings into actionable business recommendations and decision options.

  
  

• Create intuitive dashboards and reporting using tools like Tableau, Grafana or similar.

  
  

• Contribute to the revenue assurance governance by providing robust analytics and insightful presentations.

  
  

• Independently identify and manage a broad stakeholder set (Finance, FinTech, ABU, Fraud, Tax, FP&A, R&C), aligning on problem framing, communicating complex analyses in a clear way and ensuring buy‑in on recommendations and trade‑offs.

  
  

• Apply best practices in coding, documentation, peer review and version control so that analyses are robust, reproducible and suitable for long‑term use (e.g. as part of controls, SOx reconciliations, dashboards and monitoring routines).

  
  

• Support more junior analysts in the Credit Risk & Revenue Assurance team by reviewing their work, sharing best practices, and helping them structure analyses and stakeholder communication.

  
  

• Participate in community projects, share learnings from Revenue Assurance initiatives, and help improve shared tooling, data assets and standards for analytics in the company.

Qualifications & Skills:

• At least 4 years of relevant experience gained in a quantitative role, preferably within ecommerce, finance, banking or related fields.

  
  

• You have an academic degree (MSc or PhD), in a quantitative field (Statistics, Mathematics, Econometrics, Computer Science, Physics, Engineering, Bioinformatics, or similar)

  
  

• Strong knowledge of SQL, Python, Pyspark and/ or other statistical and advanced scripting languages.

  
  

• Experience solving real problems using data mining techniques and with statistical rigor.

  
  

• Experience of using insights from disparate data sources and with data visualization tools like Tableau or similar

  
  

• Problem solving ability aligned with high attention to detail.

  
  

• Excellent analytical, organizational and project management skills.

  
  

• Self-starter and able to work with minimal supervision.

  
  

• Ability to prioritize tasks and meet required deadlines while managing competing priorities and working within a faced paced environment.

  
  

• Excellent communication skills (both written and verbal) in English and ability to effectively convey difficult or complex information in an easy to understand manner.

The hourly rate for independent contractors is between 40-100 EUR.