Optimization Data Analyst
Core
Analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to maximize merchant growth.
Role type
mid-level optimization data analyst
Builds
scalable analytics solutions, automation pipelines, and self-service tools
Domain
fintech / payments
Deliverable
dashboards & analysis
Required skills
Python, SQL, PySpark, ETL pipeline design, big data tools (Spark, Airflow), Git, data visualization (Looker, Tableau), statistics, hypothesis testing, data mining
Preferred skills
experience in high-growth tech environment, ability to influence product outcomes, strategic data storytelling
Technologies
Python, SQL, PySpark, Spark, Airflow, Git, Looker, Tableau
Responsibilities
Analyze large-scale payment datasets to identify performance trends and optimization opportunities; Design and build scalable analytics solutions and automation pipelines; Partner with Product, Data, and Commercial teams to translate business challenges into analytical solutions; Lead complex A/B testing and data investigations to validate hypotheses; Synthesize complex data into compelling narratives for technical and non-technical audiences; Support knowledge-sharing within the Performance Optimization team to elevate analytical standards
Seniority
Mid-level, hands-on IC