Optimization Data Analyst

Analyze large-scale payment datasets, 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 optimization 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