Senior Data Science Analyst

American Express

Senior Data Science Analyst developing customer analytics at American Express, a financial and travel services company. Building business intelligence systems, dashboards, and reporting insights for strategic planning and performance monitoring.

Posted 8/5/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $109,491 - $150,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analyzing customer data to develop data-driven business strategies and enhance performance through business intelligence systems. Proficient in utilizing data visualization tools and process automation to streamline reporting and insights.

Highest-signal resume keywords

Data AnalysisBusiness Intelligence SystemsData Visualization ToolsProcess AutomationStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData MiningStatistical AnalysisBusiness IntelligenceData VisualizationProcess AutomationTechnical DocumentationSQLPythonExcel

Soft Skills

CollaborationCommunicationStrategic Planning

Tools & Technologies

PowerBIPower AutomateGoogle Big QueryHiveMySQL ServerNumpyPandasPySparkExcel DashboardsBusiness Intelligence Tools

Industry Keywords

Data AnalyticsCustomer DataFinancial DatasetsPerformance MonitoringCross-Functional Collaboration

Tech Stack

Tools & technologies

BigQueryMySQLNumpyPandasPySparkPythonSparkSQL

About the role

Key responsibilities & impact

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
Deliver analytics, reporting and insight initiatives that inform strategic planning and performance monitoring
Review existing data systems designs based on analyzed data to help streamline data reporting processes

Requirements

What you’ll need

Bachelor's degree in Statistics, Mathematics, Data Science, Data Analytics, Business Intelligence, Computer Science, Engineering, Information Systems, or a related field
3 years of experience analyzing customer data to identify trends and develop business strategies
1 year of experience developing data-driven strategic initiatives to enhance business performance
1 year of experience analyzing complex financial datasets and performing data mining to identify commercial trends
1 year of experience creating, maintaining, and optimizing business intelligence systems, dashboards, and reporting frameworks using MS Excel
1 year of experience with data visualization tools, including MS Excel and PowerBI
1 year of experience with process automation using Power Automate
1 year of experience preparing and maintaining technical documentation of data pipelines, methodologies, and analytical logic
1 year of experience utilizing Google Big Query, Hive, MySQL Server, Numpy, Pandas, PySpark, Python, Spark, and SQL
Job location: New York, NY

Benefits

Comp & perks

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities