Specialist, Product Management - Data Analytics

Mastercard; Gurugram District; Sur place; INR 1 200 000 - 2 400 000; Plein temps

Résumé du poste

Mastercard Inc. in India is seeking a Specialist, Product Management - Data Analytics to translate complex data into actionable product insights across transaction, merchant, and consumer datasets.

You will collaborate with Product, Data Science, Engineering, Sales, and Consulting teams to develop analytical models, dashboards, and reporting frameworks that drive product adoption and unlock business value for payment solutions in a global network.

Qualifications

• Bachelor’s degree in technology, data analytics, or related field.
• Strong data analysis skills to support product strategy and business growth.
• Experience with payments/financial services analytics is a plus.
• Proficiency in SQL, Python, Hadoop, Excel, and Tableau.

Responsabilités

• Analyze data to generate insights guiding product decisions and market strategies.
• Develop dashboards and reporting to support product adoption and performance.
• Collaborate with product, data science, engineering, and sales teams.
• Validate and optimize analytical models and data-driven solutions.

Connaissances

Analytical thinking

Strategic problem-solving

Project management

Collaboration & communication

Formation

Bachelor's degree in technology or related field

Outils

SQL

Python

Hadoop

Excel

Tableau

Description du poste

Specialist, Product Management - Data Analytics

Overview:

Mastercard is a global technology company in the payments industry, committed to driving innovation and advancing financial inclusion. Within Mastercard, Services provides advanced analytics, consulting, and digital solutions that help businesses, financial institutions, and governments make data-driven decisions.

Business & Market Insights (B&MI), a key part of Services, empowers organizations with differentiated data assets, analytics solutions, and advisory capabilities that enable confident decision-making and better business outcomes. Through partnerships with financial institutions, merchants, public sector organizations, and other stakeholders, B&MI delivers market intelligence, customer insights, and innovative solutions that accelerate growth.

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 –

• 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.

All about you –

• 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.