
Senior Optimization Data Analyst
- Shanghai
- Permanent
- Full-time
- Data-Driven Optimization & Merchant Growth: Lead high-impact analyses of large-scale payment datasets to diagnose performance anomalies, identify optimization opportunities, and drive strategic improvements in payments performance optimization across global merchants.
- Self-Service Analytics & Enablement: Drive the development of scalable, self-service analytics tools, enabling internal teams and commercial stakeholders to independently leverage data insights for performance optimization and merchant growth.
- Automation & Scalable Solutions: Spearhead automation initiatives that improve efficiency, enhance data accessibility, and streamline operational workflows across the Performance Optimization team, ensuring scalable and repeatable success.
- Stakeholder & Cross-functional Collaboration: Act as a key liaison, working with cross-functional teams to ensure merchant-driven insights contribute to platform-wide product enhancements and optimizations, while driving adoption of Adyen's solutions (e.g., Protect, Uplift), strengthening merchant relationships and maximizing business impact.
- Lead high-priority initiatives: Take ownership of strategic projects that require coordination across regions or functions, driving alignment and execution to deliver scalable, platform-wide impact.
- Problem-Solving & Experimentation: Design and execute sophisticated data analyses, A/B tests, and strategic investigations to validate hypotheses, optimize payment strategies, and influence decision-making at both merchant and product levels.
- Strategic Data Storytelling: Drive strategic discussions by synthesizing complex data into compelling narratives, tailoring insights for technical and non-technical audiences, and positioning the Performance Optimization team as a key business enabler.
- Mentorship & Technical Guidance: Provide mentorship to other analysts, fostering a data-driven culture within the team by sharing best practices, refining methodologies, and promoting analytical excellence,
- 7+ years of relevant experience in Data Analytics, Data Science, or a similar role, with a proven track record of leading strategic initiatives and driving measurable impact.
- Expert-level proficiency in Python, SQL, and PySpark, with hands-on experience in big data processing and scalable ETL pipeline development.
- Strong experience with data visualization tools (Looker, Tableau) and ability to design and build scalable, insightful dashboards.
- Deep understanding of descriptive and inferential statistics, including distributions, correlation analysis, hypothesis testing, and regression models.
- Experience with big data technologies (Spark, Airflow) and version control systems (Git), ensuring scalable and reliable data solutions.
- Demonstrated ability to work cross-functionally, influencing product development and merchant strategies through data-driven insights and storytelling.
- Proven leadership in managing high-impact projects, with the ability to drive execution independently while collaborating with key stakeholders.
- Excellent stakeholder management skills, capable of engaging with senior leadership, merchants, and cross-functional teams to define needs and drive business value.
- Excellent verbal and written communication skills, able to present insights and synthesize complex topics clearly.
- Strong entrepreneurial mindset, ownership mentality, and ability to navigate a fast-paced, cross-functional, and global business environment.
- FinTech or Payments industry experience is a plus.