Optimization Data Analyst
You will analyze large-scale payment datasets to identify trends and optimization opportunities. You will build automation pipelines and self-service analytics tools, lead A/B tests and investigations, translate complex findings into clear narratives, collaborate with stakeholders, and support analytical knowledge-sharing.
Responsibilities
- Analyze large-scale payment datasets to identify trends and opportunities
- Deliver optimization recommendations to customers and internal stakeholders
- Build scalable analytics solutions automation pipelines and self-service tools
- Translate business challenges into analytical solutions
- Lead A/B tests and data investigations
- Synthesize complex data into clear narratives
- Support knowledge-sharing and analytical best practices
Requirements
- 3–5 years of experience in data analytics data science or a similar role
- Experience in fintech payments or a high-growth technology environment
- Proficiency in Python SQL and PySpark
- Experience with large-scale data processing
- Ability to develop ETL and data pipelines with data validations
- Familiarity with Spark Airflow and Git
- Experience with Looker Tableau and dashboard development
- Understanding of statistics hypothesis testing and data mining
- Cross-functional collaboration and stakeholder management skills
- Excellent communication and storytelling skills
Benefits
- Equity in the form of RSUs
- In-person collaboration in an office-first environment