1 day ago

Analyst-Data Science

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Drive product roadmap initiatives for the Investments Management ecosystem by partnering with Product and Technology teams across LUMI, TM1, and related BI platforms. Gather and translate business requirements into user stories and specifications, refine the product backlog, and perform detailed analytics to surface trends and actionable insights. Build and maintain dashboards using Tableau/Power BI, support UAT and functional testing, strengthen data governance, and evaluate opportunities to pilot GenAI capabilities.

Location: Gurugram

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Execute product roadmap initiatives for the Investments Management ecosystem across LUMI, TM1, and related BI platforms.
•Partner with stakeholders to gather, analyze, and document business requirements into user stories and acceptance criteria.
•Support product backlog management by tracking requirements and documenting enhancements and prioritization needs.
•Analyze data to identify business trends, process improvement opportunities, and insights for product decisions.
•Build/maintain dashboards and support testing/UAT, data governance validation, and documentation for adoption.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceRetirementPaid LeaveHybrid WorkCounseling SupportPaid Parental

Key Requirements

•Experience in business analysis or data analytics with exposure to large and complex datasets.
•Foundational understanding of product management concepts, Agile methodologies, and the software development lifecycle.
•Translate business requirements into user stories, process documentation, or functional specifications.
•Proficiency in SQL/Bigquery/LUMI and Hive/Yellowbrick; Python knowledge is preferred.
•Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, Information Systems, Engineering, or a related field.

Experience:Investments managementBusiness intelligenceData analytics

Education:Bachelor's

Skills:Analytical thinkingProblem-solvingCommunicationOrganizationalCollaboration

Tech Stack:SQLBigqueryLUMIHiveYellowbrickPythonTableauPower BITM1ChatGPTGeminiClaudeMicrosoft Copilot

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

Analyst-Data Science

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Location: Gurugram

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Execute product roadmap initiatives for the Investments Management ecosystem across LUMI, TM1, and related BI platforms.
•Partner with stakeholders to gather, analyze, and document business requirements into user stories and acceptance criteria.
•Support product backlog management by tracking requirements and documenting enhancements and prioritization needs.
•Analyze data to identify business trends, process improvement opportunities, and insights for product decisions.
•Build/maintain dashboards and support testing/UAT, data governance validation, and documentation for adoption.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceRetirementPaid LeaveHybrid WorkCounseling SupportPaid Parental

Key Requirements

•Experience in business analysis or data analytics with exposure to large and complex datasets.
•Foundational understanding of product management concepts, Agile methodologies, and the software development lifecycle.
•Translate business requirements into user stories, process documentation, or functional specifications.
•Proficiency in SQL/Bigquery/LUMI and Hive/Yellowbrick; Python knowledge is preferred.
•Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, Information Systems, Engineering, or a related field.

Experience:Investments managementBusiness intelligenceData analytics

Education:Bachelor's

Skills:Analytical thinkingProblem-solvingCommunicationOrganizationalCollaboration

Tech Stack:SQLBigqueryLUMIHiveYellowbrickPythonTableauPower BITM1ChatGPTGeminiClaudeMicrosoft Copilot

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