Optimization Data Analyst
Adyen is a financial technology company providing a unified platform for payments, data, and financial products. It serves global enterprises, retailers, platforms, marketplaces, and other high-growth businesses.
Projects
About Adyen
Adyen provides payment processing and financial technology services through a single platform. Its offerings include online and in-person payments, payment methods, risk management, authentication, revenue optimization, issuing, payouts, liquidity management, embedded accounts, and capital. Adyen typically serves global enterprises, retailers, SaaS platforms, marketplaces, and other high-growth businesses.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will analyze large-scale payment datasets to identify trends and optimization opportunities. You will build automation pipelines and self-service analytics tools, lead A/B tests and investigations, translate complex findings into clear narratives, collaborate with stakeholders, and support analytical knowledge-sharing.
Requirements
- 3–5 years of experience in data analytics data science or a similar role
- Experience in fintech payments or a high-growth technology environment
- Proficiency in Python SQL and PySpark
- Experience with large-scale data processing
- Ability to develop ETL and data pipelines with data validations
- Familiarity with Spark Airflow and Git
- Experience with Looker Tableau and dashboard development
- Understanding of statistics hypothesis testing and data mining
- Cross-functional collaboration and stakeholder management skills
- Excellent communication and storytelling skills
Responsibilities
- Analyze large-scale payment datasets to identify trends and opportunities
- Deliver optimization recommendations to customers and internal stakeholders
- Build scalable analytics solutions automation pipelines and self-service tools
- Translate business challenges into analytical solutions
- Lead A/B tests and data investigations
- Synthesize complex data into clear narratives
- Support knowledge-sharing and analytical best practices
Benefits
- Equity in the form of RSUs
- In-person collaboration in an office-first environment