Optimization Data Analyst

Chicagofull timeRemote

mid

$120k–$156k

H1B: no

Adyen Optimization Data Analyst at Adyen leads complex analyses and drives scalable optimizations across the global Performance Optimization team. The role involves collaborating with commercial and product stakeholders to deliver actionable insights that maximize merchant growth.

Responsibilities

We are seeking an experienced Optimization Data Analyst to join our team in Chicago to play a critical role in driving scalable optimizations and advanced analytics across Adyen’s global Performance Optimization team. As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver actionable insights that maximize merchant growth.
This role is ideal for an experienced analyst looking to deepen technical impact while influencing product and business outcomes at scale.
Data-Driven Optimization: Analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to our biggest customers, while identifying and driving scalable opportunities that benefit the broader merchant base.
Scalable Tooling Automation: Design and build scalable analytics solutions, automation pipelines, and self-service tools that empower internal teams and stakeholders.
Cross-Functional Collaboration: Partner with Product, Data, and Commercial teams to translate business challenges into analytical solutions, driving continuous platform improvements.
Advanced Problem-Solving Experimentation: Lead complex A/B testing and data investigations, shaping data-driven strategies and validating hypotheses with analytical rigor.
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 Best Practices: Support knowledge-sharing within the Performance Optimization team, contributing to the elevation of analytical standards and technical excellence.

Qualification

Strong proficiency in PythonFamiliarity with big data tools (SparkDeep understanding of statisticsProactive

Required

3–5 years of relevant experience in a data analytics, data science, or similar role, ideally in fintech, payments, or a high-growth tech environment.
Strong proficiency in Python, SQL, and PySpark, with hands-on experience in large-scale data processing.
Ability to design and develop efficient and scalable ETL and data pipelines for datasets, including the use of data validations to ensure reliability.
Familiarity with big data tools (Spark, Airflow) and version control using Git.
Solid experience with data visualization tools (e.g., Looker, Tableau) and dashboard development.
Deep understanding of statistics, hypothesis testing, and data mining.
Strong cross-functional collaboration and stakeholder management skills, with the ability to influence product and business outcomes.
Proactive, self-directed, and able to manage multiple priorities in a dynamic, global environment.
Excellent communication and storytelling skills, translating data insights into business value.