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Gurugram · On-site · 3-5 Yrs · Aug 13
Financial Transaction Processing · 10000+ Employees · Purchase, US
As a technology company in the global payments business our payments processing network, connects consumers, financial institutions, merchants, governments, and businesses in more than 210 countries and territories.
Hiring: Engineering
What employees say
+ Good culture and exposure along with work life balance
− Nothing particular bad as such
More reviews on the company profile.
Interview experience · Product Manager
I completed the entire interview loop for a Product Manager role at Mastercard. All technical and managerial rounds went exceptionally well, and the interviewing panel was professional and engaging. Following the final r
Average difficulty · India · 491 reports
More interview insightsJob description
Overview
Senior Analyst, AI & Data Strategy
Responsibilities
- Execute data quality and pricing monitoring initiatives by partnering with GCO Compliance, data strategy leads, business SMEs, and stakeholders to identify gaps, validate requirements, and deliver actionable, compliance-aligned insights.
- Perform advanced data analysis using SQL, cloud platforms, and automation tools; continuously refine outputs to drive meaningful business decisions.
- Lead the design and development of data ingestion pipelines and ETL workflows across cloud and on-prem systems, while supporting GCO pricing strategy execution and monitoring.
- Develop and maintain dashboards, reports, and documentation to track data quality, pricing metrics, and key performance indicators.
- Support strategic GCO compliance and pricing decisions by gathering requirements, validating use cases, and assessing data readiness for enterprise initiatives.
- Collaborate with business and technical teams to execute workflows, ensure data pipeline reliability, and monitor performance.
- Contribute to data modernization efforts by recommending enhancements to data processes, governance frameworks, and security capabilities to enable advanced analytics and innovation.
- Create training materials and deliver knowledge sessions to drive adoption of tools, processes, and best practices.
- Strong understanding of data analysis, data ecosystems, and data management principles.
- Bachelor’s degree in Data Science, Computer Science, or a related field; Master’s degree preferred.
- Excellent analytical, problem-solving, and communication skills with the ability to translate data into actionable insights.
- Hands-on experience with data ingestion, ETL processes, and workflow automation.
- Familiarity with cloud architectures (preferably Databricks), data marketplaces, and emerging technologies such as AI/ML.
- Proficiency in SQL, with working knowledge of Python, Spark, and Hadoop; experience in data wrangling, entity matching, and ETL methodologies.
- Understanding of cloud-based data storage and processing technologies.
Qualifications
- Ability to execute operational tasks while driving process improvements and coordinating cross-functional initiatives.
- Strong intellectual curiosity with a structured, process-driven approach to solving business problems.
- Strategic mindset with the ability to balance long-term architectural goals with short-term business priorities.
- Demonstrated passion for innovation, experimentation, and continuous improvement.
- Familiarity with Mastercard products and systems is a plus.
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