Own delivery and roadmap for BI and forecasting products. Design time-series models (ARIMA, SARIMA, lookalike), build scalable Databricks pipelines with Python/PySpark/SQL, translate business needs into data-driven product solutions, improve forecasting accuracy and scalability, drive cross-functional collaboration, productize BI capabilities, and deliver client-ready insights for strategic decisions.
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Senior Specialist, Product Management
Role Summary
Own the delivery and evolution of Business Intelligence and forecasting products. Combine product management, advanced analytics, and data engineering to build scalable forecasting solutions on Databricks.
Key Responsibilities• Own product delivery, roadmap, and lifecycle governance• Design and enhance forecasting models (ARIMA, SARIMA, lookalike models)• Build scalable data pipelines using Databricks, Python, and PySpark• Translate business needs into data-driven product solutions• Drive cross-functional collaboration with product, engineering, and commercial teams• Improve forecasting accuracy and scalability of analytics solutions• Identify opportunities to productize BI and forecasting capabilities• Deliver client-ready insights and support strategic decision-making
Skills & Experience• Undergraduate degree with data and analytics experience in business intelligence and descriptive, predictive, or prescriptive analytics• Strong Python, PySpark, SQL, and Databricks expertise• Experience with data engineering and large-scale data processing• Understanding of forecasting methodologies and time-series modeling• Experience with BI tools (Power BI)• Strong problem-solving, communication, and stakeholder management skills• Ability to work in fast-paced, ambiguous environments
All About You• • Leverage diverse analytic tools (SQL, etc.) for end-to-end ownership of delivering scaled analytic products• Ability to analyze large datasets and synthesize key findings to provide recommendations via • descriptive analytics and business intelligence• Strategic mind set to solve complex and ambiguous problems• Knowledge and skills using product management tools, (e.g. market and product plans, project timelines, marketing research, pricing, business case development)• Keen understanding of competitive offerings and industry trends in the market
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Senior Specialist, Product Management
Role Summary
Own the delivery and evolution of Business Intelligence and forecasting products. Combine product management, advanced analytics, and data engineering to build scalable forecasting solutions on Databricks.
Key Responsibilities• Own product delivery, roadmap, and lifecycle governance• Design and enhance forecasting models (ARIMA, SARIMA, lookalike models)• Build scalable data pipelines using Databricks, Python, and PySpark• Translate business needs into data-driven product solutions• Drive cross-functional collaboration with product, engineering, and commercial teams• Improve forecasting accuracy and scalability of analytics solutions• Identify opportunities to productize BI and forecasting capabilities• Deliver client-ready insights and support strategic decision-making
Skills & Experience• Undergraduate degree with data and analytics experience in business intelligence and descriptive, predictive, or prescriptive analytics• Strong Python, PySpark, SQL, and Databricks expertise• Experience with data engineering and large-scale data processing• Understanding of forecasting methodologies and time-series modeling• Experience with BI tools (Power BI)• Strong problem-solving, communication, and stakeholder management skills• Ability to work in fast-paced, ambiguous environments
All About You• • Leverage diverse analytic tools (SQL, etc.) for end-to-end ownership of delivering scaled analytic products• Ability to analyze large datasets and synthesize key findings to provide recommendations via • descriptive analytics and business intelligence• Strategic mind set to solve complex and ambiguous problems• Knowledge and skills using product management tools, (e.g. market and product plans, project timelines, marketing research, pricing, business case development)• Keen understanding of competitive offerings and industry trends in the market
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
- Abide by Mastercard's security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
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