Optimization Data Analyst - Adyen

Ayden

Hybrid Actively hiring
Sao Paulo, Brazil Posted 83 days ago

At a glance

AI generated

TL;DR

Join Adyen’s Performance Optimization team as a mid-level Optimization Data Analyst, where you will lead complex analyses and support automation projects to drive scalable optimizations. You’ll work with large payment datasets to identify trends, deliver high-impact recommendations for key customers, and build self-service tools that empower internal teams. Collaborate closely with Product, Data, and Commercial teams to translate business challenges into analytical solutions, conduct A/B testing, and communicate insights effectively across all levels of the organization. Ideal candidates have 3–5 years of experience in data analytics or a related field, proficiency in Python, SQL, and PySpark, familiarity with big data tools like Spark and Airflow, and strong skills in data visualization and statistical analysis. This role requires fluency in Portuguese and English and is based in São Paulo, Brazil, with a hybrid work model (3 days in office, 2 remote).

Skills

Python SQL PySpark Airflow Git Looker Tableau Statistics Hypothesis Testing Data Mining ETL Big Data Tools Data Visualization CI/CD

What you'll do

  • Analyze payment datasets to identify performance trends and optimization opportunities.
  • Design and build scalable analytics solutions and automation pipelines for internal use.
  • Lead complex A/B testing and data investigations with analytical rigor.
  • Synthesize complex data into compelling narratives for strategic discussions.
  • Mentor team members and contribute to elevating analytical standards and excellence.

What we're looking for

  • 3-5 years of experience in data analytics or a related field.
  • Proficiency in Python, SQL, and PySpark for large-scale data processing.
  • Experience designing and developing scalable ETL pipelines and data validation processes.
  • Familiarity with big data tools like Spark and workflow management systems such as Airflow.
  • Strong skills in data visualization using tools like Looker or Tableau.
  • Deep understanding of statistics, hypothesis testing, and data mining techniques.
  • Excellent communication and storytelling abilities to translate data insights into business value.

Market check

Salary context

This listing doesn't show a salary. Similar roles on FindRole typically pay $97,000–$176,000.

Peer median band

$97,000$176,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$126,750$177,312

Middle half of comparable postings.

Based on 238 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Ayden

Adyen is a global payments platform that provides end-to-end payment processing, merchant acquiring, and issuing solutions to large global companies, enabling them to accept payments anywhere in the world. Industry: Payments Technology & Financial Services

Ayden currently has 107 open roles on FindRole.

Listed pay typically runs $180,000–$243,000 across 37 roles with salary data.

Most-posted roles

View all roles at Ayden

More like this

Similar roles

Data Analyst II - Adyen

Ayden

US 29 days ago
Python SQL PySpark Apache Spark Airflow Git Looker Tableau Statistics Hypothesis Testing Data Mining CI/CD AWS Docker Kubernetes

Optimization Manager - Adyen

Ayden

US 29 days ago
Python SQL Tableau Looker BI tools Kafka Spark Docker AWS RabbitMQ Redis CI/CD PostgreSQL MongoDB Git Jenkins Prometheus Grafana

Compliance Data Analyst - Adyen

Ayden

US 22 days ago
SQL Python PySpark Spark Airflow Git CI/CD Big_Data Data_Literacy Risk_Monitoring Data_Integrity Automation Collaboration Analytics Regulatory_Compliance

Data Analyst - Regulatory Reporting - Adyen

Ayden

US 21 days ago
SQL Python Looker BI tools Spark CI/CD Kafka Hadoop PostgreSQL MySQL Regulatory Reporting AML Data Risk Data Data Pipelines Automation Validation Frameworks

Senior Data Scientist - Experimentation Platform - Adyen

Ayden

US 36 days ago
Python Pandas SciPy numpy Apache Airflow (py)Spark Bayesian hypothesis testing Frequentist hypothesis testing Causal inference techniques Sequential testing E-processes Big data framework Data engineering principles Software engineering practices