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Optimization Data Analyst

San Francisco💼 Full-time💰 $132,000–$132,000🗓 2026-08-18 → 2026-09-29

Core

Analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to maximize merchant growth.

Role type

Senior IC optimization data analyst (payments/fintech)

Builds

Scalable analytics solutions, automation pipelines, and self-service tools for internal teams and stakeholders.

Domain

Fintech / Payments / Performance Optimization

Deliverable

production ML models | 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 environments, ability to influence product and business outcomes

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 and contribute to elevating analytical standards within the team

Seniority

Mid-Senior, hands-on IC

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