American Express

1 day ago

Apprentice

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Support data quality enablement and monitoring for Unified Marketing Data Layer (UMDL) products. You will run SQL and BigQuery-based checks to validate data completeness, accuracy, consistency, and timeliness; build Excel trackers and dashboards; and analyze exceptions by documenting issues and helping with root-cause discussions. Partner with product, business, and technology teams to track findings, maintain monitoring rules and logs, and improve recurring monitoring through reusable templates and basic automation.

Location: Gurugram

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Graduate level

Key Responsibilities

•Support data quality enablement and monitoring for UMDL products across agreed data domains and use cases.
•Run SQL and BigQuery-based checks to validate data completeness, accuracy, consistency, and timeliness.
•Prepare Excel trackers, dashboards, and summaries to report data quality trends and open issues.
•Analyze data quality exceptions, document observations, and support root-cause discussions with product and technology teams.
•Maintain data quality rules, issue logs, process documentation, and recurring monitoring reports; look for opportunities to simplify monitoring through standard templates and reusable queries.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementPaid Leave

Key Requirements

•0–1 year of experience (including internships or academic projects) in data analysis, reporting, or data quality monitoring.
•Strong foundation in SQL and Excel to analyze datasets, identify patterns, and summarize findings.
•Knowledge of BigQuery and/or GCP, and exposure to Python or data visualization tools are advantageous.
•Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Commerce, Business Analytics, Computer Applications).
•Understanding of data quality concepts (completeness, accuracy, consistency, timeliness, reconciliation) and ability to translate business questions into data checks.

Experience:0Data qualityData analysisReportingMarketing technology (MarTech)

Education:Bachelor's

Skills:Analytical skillsCommunicationDocumentationCollaborationAttention to detail

Languages:US

Tech Stack:SQLExcelBigQueryGCPPythonData visualization

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

Apprentice

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Gurugram

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Graduate level

Key Responsibilities

•Support data quality enablement and monitoring for UMDL products across agreed data domains and use cases.
•Run SQL and BigQuery-based checks to validate data completeness, accuracy, consistency, and timeliness.
•Prepare Excel trackers, dashboards, and summaries to report data quality trends and open issues.
•Analyze data quality exceptions, document observations, and support root-cause discussions with product and technology teams.
•Maintain data quality rules, issue logs, process documentation, and recurring monitoring reports; look for opportunities to simplify monitoring through standard templates and reusable queries.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementPaid Leave

Key Requirements

•0–1 year of experience (including internships or academic projects) in data analysis, reporting, or data quality monitoring.
•Strong foundation in SQL and Excel to analyze datasets, identify patterns, and summarize findings.
•Knowledge of BigQuery and/or GCP, and exposure to Python or data visualization tools are advantageous.
•Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Commerce, Business Analytics, Computer Applications).
•Understanding of data quality concepts (completeness, accuracy, consistency, timeliness, reconciliation) and ability to translate business questions into data checks.

Experience:0Data qualityData analysisReportingMarketing technology (MarTech)

Education:Bachelor's

Skills:Analytical skillsCommunicationDocumentationCollaborationAttention to detail

Languages:US

Tech Stack:SQLExcelBigQueryGCPPythonData visualization

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