Senior Analyst – Data Analytics

American Express

. Provide analytic and execution support for merchant retention, trigger arbitration, treatment playbooks, and predictive insights that enable GMNS growth initiatives and CLM priorities .

Posted 9/18/2026full-timeGurgaon • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical capabilities with expertise in SQL, Python, and Google BigQuery to drive insights from data. Proven ability to collaborate with cross-functional teams and communicate complex findings effectively to influence business decisions.

Highest-signal resume keywords

SQLPythonGoogle BigQueryData AnalysisMachine Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPredictive InsightsMerchant RetentionDispute AnalyticsRisk OperationsStatistical AnalysisAutomationStandardizationProject ManagementBehavioral Trends

Soft Skills

Intellectual CuriosityAttention to DetailCollaborationCommunicationInfluencing

Tools & Technologies

TableauLumiPySparkTargetIQEnterprise Platforms

Industry Keywords

Merchant BusinessGrowth InitiativesCLM PrioritiesOperational RiskFast-Paced Environment

Tech Stack

Tools & technologies

BigQueryCloudPySparkPythonSQLTableau

About the role

Key responsibilities & impact

Provide analytic and execution support for merchant retention, trigger arbitration, treatment playbooks, and predictive insights that enable GMNS growth initiatives and CLM priorities
Analyze merchant performance, spend, engagement, coverage, and behavioral trends to identify early indicators of decline, retention risk, and growth opportunities and support field activation decisions
Support the development and scaling of merchant trigger capabilities, including deterministic and predictive triggers
Help translate analytical pilots and proof-of-concepts into governed, production-ready capabilities through enterprise platforms such as TargetIQ
Partner with cross-functional stakeholders to understand business questions, define analytical requirements, and deliver timely, high-quality insights
Translate complex data into clear, concise findings, treatment recommendations, and business actions
Support automation and standardization of recurring analytics processes to improve efficiency, reduce operational risk, and increase speed to market

Requirements

What you’ll need

2-4 years of relevant experience in analytical domain
Intellectual curiosity, attention to detail, ability to learn quickly and drive results
Ability to drive insights from data, manage multiple projects and drive results in a fast-paced environment
Strong collaboration skills with ability to build relationships and challenge the status quo
Excellent business writing and presentation skills with the ability to communicate effectively, build relationships and influence at all levels
Familiarity with Google BigQuery, SQL, Python, Lumi, PySpark and Tableau
Experience in dispute analytics, risk operations, or merchant business preferred
Experience in Machine Learning, Cloud, or Gen AI is a plus
Bachelor's degree in Statistics, Mathematics, Economics, Engineering, or Data Science with relevant experience
Employment is conditioned upon successful completion of a background verification check, subject to applicable laws and regulations

Benefits

Comp & perks

Competitive base salaries
Bonus incentives
Support for financial well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
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