Mastercard

1 month ago

Manager - Product Data & Analytics

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Lead and shape data analytics initiatives by architecting and maintaining reporting, data models, and dashboards that drive Go-To-Market strategies and optimization across products and markets. Manage cross-functional projects, translate business needs into technical specs, and mentor analysts within a global analytics team.

Location: Gurugram

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets and services.
•Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that guide strategic decisions and optimization opportunities.
•Build, develop and maintain data pipelines, data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions.
•Translate business requirements into tangible technical solution specifications and high quality, on-time deliverables.
•Create reusable processes to support development of ETL and data pipelines.

Key Requirements

•Advanced SQL skills with the ability to write optimized queries for large data sets (Big data, Cloud)
•Experience in building data models, ETL/data pipeline designs, source-target mappings
•Experience with data visualization tools such as Looker, Tableau, PowerBI
•Experience with Python or R; Databricks a plus
•Bachelor’s or Master’s Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics; MBA preferred

Experience:PaymentsFinancial services

Education:Bachelor's

Skills:CommunicationProblem-solvingTeam playerAnalytical skillsAttention to detail

Languages:English

Tech Stack:SQLLookerTableauPowerBIPythonRDatabricksCloudera HadoopSQL ServerBig DataCloud

Company Brief

Mastercard

Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.

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: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Mastercard

1 month ago

Manager - Product Data & Analytics

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Gurugram

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets and services.
•Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that guide strategic decisions and optimization opportunities.
•Build, develop and maintain data pipelines, data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions.
•Translate business requirements into tangible technical solution specifications and high quality, on-time deliverables.
•Create reusable processes to support development of ETL and data pipelines.

Key Requirements

•Advanced SQL skills with the ability to write optimized queries for large data sets (Big data, Cloud)
•Experience in building data models, ETL/data pipeline designs, source-target mappings
•Experience with data visualization tools such as Looker, Tableau, PowerBI
•Experience with Python or R; Databricks a plus
•Bachelor’s or Master’s Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics; MBA preferred

Experience:PaymentsFinancial services

Education:Bachelor's

Skills:CommunicationProblem-solvingTeam playerAnalytical skillsAttention to detail

Languages:English

Tech Stack:SQLLookerTableauPowerBIPythonRDatabricksCloudera HadoopSQL ServerBig DataCloud

Company Brief

Mastercard

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: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor