Optimization Product Analyst
Analyze payment datasets, identify trends and optimization opportunities, deliver recommendations, and drive scalable improvements. 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, and PySpark proficiency.
- Large-scale data processing experience.
- ETL and data pipeline development.
- Data validation experience.
- Spark and Airflow familiarity.
- Git version control.
- Looker or Tableau and dashboard development.
- Statistics, hypothesis testing, and data mining.
- Cross-functional collaboration and stakeholder management.
- Communication and data storytelling skills.
Benefits
- RSUs