Optimization Product Analyst
Summary
Analyze payment datasets to spot trends, build analytics pipelines, and recommend scalable improvements for merchants using Python, SQL, PySpark, and Airflow.
You will analyze payment datasets, identify trends and optimization opportunities, deliver recommendations, and drive scalable improvements. You will build analytics solutions, automation pipelines, and self-service tools, lead A/B tests and investigations, collaborate with product and commercial stakeholders, communicate insights, and support analytical best practices.
Responsibilities
- Analyze large-scale payment datasets to identify performance trends and optimization opportunities
- Deliver recommendations to customers and drive scalable opportunities across the merchant base
- Design and build scalable analytics solutions automation pipelines and self-service tools
- Partner with Product Data and Commercial teams to develop analytical solutions
- Lead A/B tests and data investigations
- Synthesize complex data into narratives for technical and non-technical audiences
- Support knowledge-sharing and analytical best practices
Requirements
- 3–5 years of relevant experience in data analytics data science or a similar role
- Python
- SQL
- PySpark
- Large-scale data processing
- ETL and data pipelines
- Data validation
- Spark
- Airflow
- Git
- Looker or Tableau
- Dashboard development
- Statistics
- Hypothesis testing
- Data mining
- Cross-functional collaboration
- Stakeholder management
- Communication
- Data storytelling
Benefits
- RSUs