Revenue Assurance Analyst

Huxley; Amsterdam; On-site; EUR 60,000 - 80,000; Full time

Job summary

A leading analytics firm in Amsterdam is seeking a Revenue Assurance Analyst. This role involves driving analytics and problem-solving to prevent revenue leakage, requiring excellent skills in SQL, Python, and data visualization tools like Tableau. Candidates should have at least 4 years of experience in a quantitative role and a MSc or PhD in a relevant field. The position demands exceptional communication skills and the ability to meet deadlines in a fast-paced environment. Join a dynamic team to shape analytics strategies.

Qualifications

• Minimum 4 years of experience in a quantitative role, preferably within e-commerce, finance, or banking.
• Strong knowledge of SQL, Python, PySpark, and other statistical and scripting languages.
• Excellent problem-solving ability and attention to detail.

Responsibilities

• Design, lead, and deliver complex analytics work to identify revenue leakage.
• Create intuitive dashboards and reporting using tools like Tableau.
• Independently manage stakeholders to ensure alignment and buy-in.

Skills

SQL

Python

Data analysis

Problem-solving

Tableau

Education

MSc or PhD in a quantitative field

Tools

PySpark

Grafana

Job description

Huxley Amsterdam, North Holland משחק

Revenue Assurance repercussions – Huxley

Role: Revenue Assurance Analyst

Overview: The Revenue Assurance team focuses on proactive identification, quantification, and prevention of revenue leakage and risk management across products and business models. As a Revenue Assurance Analyst you will drive analytics and problem‑solving for the Revenue Assurance and Credit Risk team, owning complex analyses and solutions that safeguard revenue and improve 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.

Key Responsibilities

• Design, lead, and deliver complex analytics work to identify, size, and monitor revenue leakage problems from hypothesis to implementation of dashboards, controls, or product changes.
• Own workstreams on data analytics solutions based on business requirements, from idea generation to implementation with some supervision.
• Work with business owners to frame ambiguous issues into clear analytical questions, define success metrics, and translate findings into actionable recommendations.
• Create intuitive dashboards and reporting using tools like Tableau, Grafana, or similar.
• Contribute to revenue assurance governance through robust analytics and insightful presentations.
• Independently manage stakeholders (Finance, FinTech, ABU, Fraud, Tax, FP&A, R&C), ensuring alignment and buy‑in on recommendations.
• Apply best practices in coding, documentation, peer review, and version control for robust, reproducible analyses.
• Support junior analysts by reviewing work, sharing best practices, and guiding stakeholder communication.
• Participate in community projects, share learnings, and improve shared tooling, data assets, and analytics standards.

Qualifications & Skills

• Minimum 4 years of experience in a quantitative role, preferably within e‑commerce, finance, or banking.
• MSc or PhD in a ڀ quantitative field (Statistics, Mathematics, Econometrics, Computer Science, Physics, Engineering, Bioinformatics, or similar).
• Strong knowledge of SQL, Python, PySpark, and/or other statistical and scripting languages.
• Experience solving real problems using data mining techniques with statistical rigour.
• Skilled in data visualisation tools like Tableau or similar.
• Excellent problem‑solving ability and attention to detail.
• Strong analytical, organisational, and project management skills.
• Self‑starter with ability to work independently.
• Ability to prioritise tasks and meet deadlines in a fast‑paced environment.
• Excellent communication skills in English, both written and verbal.

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