Specialist, Product Management - Data Analytics

Job Title: Specialist, Product Management - Data Analytics Company: Mastercard Job Category: Data Science Roles & Responsibilities: 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.* Specialist, Product Management - Data AnalyticsOverview – The centralized Capabilities & Data (C&D) organization brings together foundational data, analytics, AI, data science, and platform engineering capabilities to accelerate B&MI's Vision. C&D provides the common data, analytical, and platform foundations that enable product teams to develop, scale, and enhance data-driven solutions more efficiently. Role – As part of Capabilities and Data (C&D) Team, you will support the development and enhancement of B&MI products by delivering analytical insights, data solutions, and operational support. Working closely with Product Management, Data Science, Engineering, and other cross-functional teams, you will help translate business requirements into actionable analytics, support product initiatives, and contribute to the development of scalable data capabilities that drive product innovation and client value. * Support the development and enhancement of product features by providing analytical insights aligned to client needs, business objectives, and market trends. * Analyze transaction, merchant, consumer, and market datasets to generate actionable insights that improve product capabilities and business outcomes. * Assist in addressing client queries and support product adoption through data-driven recommendations and analytical expertise. * Collaborate with Product, Data Science, Engineering, Sales, and Consulting teams to execute product initiatives and deliver business value. * Develop and implement analytical models, statistical solutions, reporting frameworks, and dashboards to address business challenges and support decision-making. * Support the validation, optimization, deployment, and operationalization of analytical models and data-driven solutions. * Ensure the accuracy, consistency, reliability, and quality of data assets, analytical outputs, and product deliverables. * Monitor industry trends, emerging analytical techniques, and competitor offerings to identify opportunities for product innovation and improvement. * Document analytical methodologies, processes, and best practices to support transparency, scalability, and knowledge sharing. * Independently execute assigned analytical projects and initiatives, contributing to continuous improvement and the growth of shared data and analytics capabilities across B&MI. Corporate Security Responsibility Work Location: HR, India Availability: Full time

* Education & Experience: Bachelor’s degree in technology, data analytics, or a related field, or equivalent professional experience. * Analytical Expertise: Proven ability to conduct data analysis to support product strategy, commercial decisions, and business growth. * Industry Knowledge: Experience in analytics solutions for payments, financial services, or related industries is preferred. * Technical Skills: Proficiency in SQL, Python, Hadoop, Excel, Tableau, and other analytics tools, with experience handling large datasets. Experience on AI tools is a plus. * Strategic Problem-Solving: Strong analytical mindset to break down complex and ambiguous problems into actionable insights. * Project Management: Ability to manage multiple initiatives, prioritize competing tasks, and drive end-to-end execution in a cross-functional environment. * Collaboration & Communication: Strong stakeholder management skills with the ability to clearly articulate problem statements, insights, and opportunities to both internal and external partners. Key Skills: Data Science, Python, SQL, Tableau Salary: Not disclosed