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# Senior Analysts, Data Science

- **Company:** American Express Company
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $109,491.0 - $150,250.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Audit Trail, Information Systems, Databases, Customer Data Management, Data Mining, Data Visualization, Apache Hive, Python (Programming Language), MySQL, NumPy, Power BI, SQL Databases, Microsoft Power Automate, Apache Spark, Pandas, Pyspark, Information Technology, Data Analytics, Performance Monitor, Google Bigquery, Tools for Reporting, Data Pipelines
- **Published:** August 7, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3343359814&tx=JT10294UHV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Position requires a Bachelor's degree in Statistics, Mathematics, Data Science, Data Analytics, Business Intelligence, Computer Science, Engineering, Information Systems, or a related field, and 3 years of experience with analyzing customer data to identify trends and develop business strategies. Experience must include 1 year of experience with each of the following: developing data-driven strategic initiatives to enhance business performance; analyzing complex financial datasets and performing data mining to identify commercial trends; creating, maintaining, and optimizing business intelligence systems, dashboards, and reporting frameworks using MS Excel; data visualization tools, including MS Excel and PowerBI; process automation using Power Automate to streamline recurring analytics and reporting workflows; preparing and maintaining technical documentation of data pipelines, methodologies, and analytical logic for auditability and knowledge sharing; utilizing data analysis tools,
including Google Big Query, Hive, MySQL Server, Numpy, Pandas, PySpark, Python, Spark, and SQL. Telecommuting is available up to 2 days per week.

Job Location: New York, NY

## Description

Analyze customer data to develop data-driven business strategies. Update business intelligence tools, databases, dashboards, systems, and methodologies. Partner with cross-functional business teams, including Finance, Travel & Lifestyle Services, Insurance, and other enterprise stakeholders, to deliver analytics, reporting and insight initiatives that inform strategic planning and performance monitoring.


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