American Express

1 day ago

Senior Analyst-Data Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 26 minutes agoStatus: Live

Job Summary

Support next-generation analytics in the AENB HQ Data, Analytics & Reporting team, focused on Risk & Compliance. Collect, cleanse, and analyze data to improve reporting and AI-driven decision-making, build and maintain ETL/data pipelines, and deliver dashboards in Power BI/Tableau. Partner with Risk, Compliance, and Technology to ensure data quality, monitor anomalies, and develop AI-enabled analytics solutions, including insight generation and natural language interaction with data.

Location: Gurugram

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Collect, cleanse, and analyze data from multiple sources to support reporting, analytics, and AI use cases.
•Develop and maintain dashboards using Power BI and Tableau to deliver actionable insights.
•Build and support ETL/data pipelines across structured and semi-structured data sources.
•Contribute to AI-enabled analytics solutions such as data quality monitoring, anomaly detection, and insight summarization.
•Work with enterprise data platforms (SQL Server, PostgreSQL, BigQuery) to manage and transform data, ensuring accuracy and collaborating with Risk/Compliance/Technology teams.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementPaid Parental

Key Requirements

•Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
•2+ years of experience in data analytics, data engineering, or a related role.
•Strong proficiency in SQL and hands-on Python experience for data processing.
•Experience building and supporting data pipelines (ETL) and working with cloud platforms such as GCP and BigQuery.
•Experience building dashboards using Power BI and/or Tableau.

Experience:2+ yearsRisk & complianceData analyticsData engineeringAI-enabled analytics

Education:Bachelor's

Skills:AnalyticalProblem-solvingCommunicationCollaboration

Tech Stack:SQLPythonETLGCPBigQueryPower BITableauSQL ServerPostgreSQLAI/GenAIArcherServiceNowData pipelinesDashboardsNatural language interaction

Company Brief

American Express

Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York City, United States

Founded: 1850

Website LinkedIn

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American Express

1 day ago

Senior Analyst-Data Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 26 minutes agoStatus: Live

Job Summary

Location: Gurugram

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Collect, cleanse, and analyze data from multiple sources to support reporting, analytics, and AI use cases.
•Develop and maintain dashboards using Power BI and Tableau to deliver actionable insights.
•Build and support ETL/data pipelines across structured and semi-structured data sources.
•Contribute to AI-enabled analytics solutions such as data quality monitoring, anomaly detection, and insight summarization.
•Work with enterprise data platforms (SQL Server, PostgreSQL, BigQuery) to manage and transform data, ensuring accuracy and collaborating with Risk/Compliance/Technology teams.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementPaid Parental

Key Requirements

•Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
•2+ years of experience in data analytics, data engineering, or a related role.
•Strong proficiency in SQL and hands-on Python experience for data processing.
•Experience building and supporting data pipelines (ETL) and working with cloud platforms such as GCP and BigQuery.
•Experience building dashboards using Power BI and/or Tableau.

Experience:2+ yearsRisk & complianceData analyticsData engineeringAI-enabled analytics

Education:Bachelor's

Skills:AnalyticalProblem-solvingCommunicationCollaboration

Tech Stack:SQLPythonETLGCPBigQueryPower BITableauSQL ServerPostgreSQLAI/GenAIArcherServiceNowData pipelinesDashboardsNatural language interaction

Company Brief

American Express

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York City, United States

Founded: 1850

Website LinkedIn