Analyst, Big Data Analytics & Engineering
Full-time
Mastercard
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
Mastercard is a global technology leader in the payments industry, committed to powering an inclusive, digital economy that benefits everyone, everywhere. By leveraging secure data, cutting-edge technology, and innovative solutions, we empower individuals, financial institutions, governments, and businesses to achieve their potential.
Our culture is driven by our Decency Quotient (DQ), ensuring inclusivity, respect, and integrity guide everything we do. Operating across 210+ countries and territories, Mastercard is dedicated to building a sustainable world with priceless opportunities for all. Position Overview
Based in Gurgaon, India, this is a techno-functional position that combines strong technical skills with a deep understanding of business needs and requirements. The role focuses on developing and maintaining advanced business analytics and AI-driven solutions for pre-sales value quantification. As an Analyst, you will be responsible for creating and optimizing tools that help Mastercard’s internal teams quantify the value of services, enhance customer engagement, and drive business outcomes. You will combine AI and analytics to deliver actionable insights, empowering teams to make informed decisions and strengthen client value propositions. The role requires close collaboration across teams to ensure tools meet business needs and deliver measurable impact. Role Responsibilities
1. Value Quantification & Tool Development
Develop tools and solutions to quantify the value of Mastercard’s services during the pre-sales process, enabling internal teams to effectively communicate value to customers.
2. Data Analysis and Management
Manage and analyse large datasets using SQL and other database management systems to support value quantification efforts.
Perform statistical analysis to identify trends, correlations, and insights that inform strategic decisions
3. Business Intelligence and Reporting
Utilize business intelligence platforms such as Tableau or Power BI to create insightful dashboards and reports that communicate the value of services
Generate actionable insights from data to inform strategic decisions and provide clear, data-backed recommendations
3. AI & Analytics Integration for Business Impact
Use AI and advanced analytics techniques to enhance pre-sales tools, enabling data-driven insights that support customer engagement, strategic decision-making, and business outcomes. 4. Cross-Functional Collaboration & Stakeholder Engagement
Collaborate with Sales, Marketing, Consulting, Product, and other internal teams to understand business needs and ensure successful tool development and deployment.
Communicate insights and tool value through compelling presentations and dashboards to senior leadership and internal teams, ensuring tool adoption and usage to senior leadership and internal teams, ensuring tool adoption and usage. 5. Insight Generation, Reporting & Process Optimization
Generate actionable insights from data to inform strategic decisions, providing clear, data-backed recommendations to improve pre-sales efforts and customer engagement. All About You
Data Analytics and Business Intelligence:
Proficiency in data analytics tools and techniques to analyse and interpret complex datasets.
Experience in creating insightful dashboards and reports using business intelligence platforms such as Tableau, Power BI, or similar tools.
AI and Machine Learning:
Knowledge of AI and machine learning algorithms to enhance pre-sales tools and generate data-driven insights.
Familiarity with programming languages such as Python or R for developing and implementing machine learning models
Advanced Excel Skills:
Strong skills in Excel, including advanced functions, pivot tables, and data visualization, to build and optimize ROI calculators and other analytical tools
Database Management and SQL:
Experience with database management systems and proficiency in SQL for querying and managing large datasets
Web-Based Platforms:
Understanding of web-based platforms and tools for developing end-to-end solutions that cater to pre-sales needs
Statistical Analysis:
Ability to perform statistical analysis to identify trends, correlations, and insights that support strategic decision-making
Cross-Functional Collaboration:
Strong collaboration skills to work effectively with Sales, Marketing, Consulting, Product, and other internal teams to understand business needs and ensure successful tool development and deployment
Communication and Presentation:
Excellent communication skills to convey insights and tool value through compelling presentations and dashboards to senior leadership and internal teams Execution Focus
A results-driven mindset with the ability to balance strategic vision with tactical execution, ensuring that tools and solutions are delivered on time and create measurable business value.
Education
Bachelor’s degree in data science, Computer Science, Business Analytics, Economics, Finance, or a related field. Advanced degrees or certifications in analytics, data science, or AI/ML are preferred Why Us?
At Mastercard, you’ll have the opportunity to shape the future of internal operations by leading the development of value quantification solutions that empower teams across the organization. Join us to make a meaningful impact, drive business outcomes, and help Mastercard’s internal teams create better customer engagement strategies through innovative value-based ROI narratives.
Location: Pune, India
Employment Type: Full-Time Corporate Security Responsibility
Analyst, Big Data Analytics & Engineering
Overview:
About MastercardMastercard is a global technology leader in the payments industry, committed to powering an inclusive, digital economy that benefits everyone, everywhere. By leveraging secure data, cutting-edge technology, and innovative solutions, we empower individuals, financial institutions, governments, and businesses to achieve their potential.
Our culture is driven by our Decency Quotient (DQ), ensuring inclusivity, respect, and integrity guide everything we do. Operating across 210+ countries and territories, Mastercard is dedicated to building a sustainable world with priceless opportunities for all. Position Overview
Based in Gurgaon, India, this is a techno-functional position that combines strong technical skills with a deep understanding of business needs and requirements. The role focuses on developing and maintaining advanced business analytics and AI-driven solutions for pre-sales value quantification. As an Analyst, you will be responsible for creating and optimizing tools that help Mastercard’s internal teams quantify the value of services, enhance customer engagement, and drive business outcomes. You will combine AI and analytics to deliver actionable insights, empowering teams to make informed decisions and strengthen client value propositions. The role requires close collaboration across teams to ensure tools meet business needs and deliver measurable impact. Role Responsibilities
1. Value Quantification & Tool Development
Develop tools and solutions to quantify the value of Mastercard’s services during the pre-sales process, enabling internal teams to effectively communicate value to customers.
2. Data Analysis and Management
Manage and analyse large datasets using SQL and other database management systems to support value quantification efforts.
Perform statistical analysis to identify trends, correlations, and insights that inform strategic decisions
3. Business Intelligence and Reporting
Utilize business intelligence platforms such as Tableau or Power BI to create insightful dashboards and reports that communicate the value of services
Generate actionable insights from data to inform strategic decisions and provide clear, data-backed recommendations
3. AI & Analytics Integration for Business Impact
Use AI and advanced analytics techniques to enhance pre-sales tools, enabling data-driven insights that support customer engagement, strategic decision-making, and business outcomes. 4. Cross-Functional Collaboration & Stakeholder Engagement
Collaborate with Sales, Marketing, Consulting, Product, and other internal teams to understand business needs and ensure successful tool development and deployment.
Communicate insights and tool value through compelling presentations and dashboards to senior leadership and internal teams, ensuring tool adoption and usage to senior leadership and internal teams, ensuring tool adoption and usage. 5. Insight Generation, Reporting & Process Optimization
Generate actionable insights from data to inform strategic decisions, providing clear, data-backed recommendations to improve pre-sales efforts and customer engagement. All About You
Data Analytics and Business Intelligence:
Proficiency in data analytics tools and techniques to analyse and interpret complex datasets.
Experience in creating insightful dashboards and reports using business intelligence platforms such as Tableau, Power BI, or similar tools.
AI and Machine Learning:
Knowledge of AI and machine learning algorithms to enhance pre-sales tools and generate data-driven insights.
Familiarity with programming languages such as Python or R for developing and implementing machine learning models
Advanced Excel Skills:
Strong skills in Excel, including advanced functions, pivot tables, and data visualization, to build and optimize ROI calculators and other analytical tools
Database Management and SQL:
Experience with database management systems and proficiency in SQL for querying and managing large datasets
Web-Based Platforms:
Understanding of web-based platforms and tools for developing end-to-end solutions that cater to pre-sales needs
Statistical Analysis:
Ability to perform statistical analysis to identify trends, correlations, and insights that support strategic decision-making
Cross-Functional Collaboration:
Strong collaboration skills to work effectively with Sales, Marketing, Consulting, Product, and other internal teams to understand business needs and ensure successful tool development and deployment
Communication and Presentation:
Excellent communication skills to convey insights and tool value through compelling presentations and dashboards to senior leadership and internal teams Execution Focus
A results-driven mindset with the ability to balance strategic vision with tactical execution, ensuring that tools and solutions are delivered on time and create measurable business value.
Education
Bachelor’s degree in data science, Computer Science, Business Analytics, Economics, Finance, or a related field. Advanced degrees or certifications in analytics, data science, or AI/ML are preferred Why Us?
At Mastercard, you’ll have the opportunity to shape the future of internal operations by leading the development of value quantification solutions that empower teams across the organization. Join us to make a meaningful impact, drive business outcomes, and help Mastercard’s internal teams create better customer engagement strategies through innovative value-based ROI narratives.
Location: Pune, India
Employment Type: Full-Time 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.
Vacancy posted 1 day ago
Similar jobs that could be interesting for youBased on the Analyst, Big Data Analytics & Engineering in India vacancy
- ...where being inspired is expected and making a meaningful impact is rewarded. About the role: Corporate Title: Analyst Functional Title : EMEA Data Privacy Analyst Department and Division: Core Compliance EMEA Reporting to: EMEA Head of Data Privacy Location...SuggestedFull timeWork experience placementWork at officeLocal area
MUFG Bank, Ltd.
India1 day ago - ...someone with ETL tool experience, since they don't use any ETL tools. Their platform is homegrown, so they need someone with strong data platform development skills, particularly in SQL and Python, who can easily navigate a large codebase and take ownership of managing...Suggested
NTT DATA, Inc.
India23 days ago - ...We are looking for Senior Data Engineers to join our AdTech team and build scalable, high-... ...platforms that power advertising insights and analytics. The ideal candidate will have strong... ...data processing, ETL pipelines, and Big Data technologies, with hands-on expertise...Big data
Prox Works
Indiaa month ago - ...Join us! We are looking for a Senior Data Scientist to join our Agentic Solutions... ...oriented, and excited about applying advanced analytics, machine learning , large language... ...-functional teams, including product, engineering, solutions, and customer-facing stakeholders...SuggestedFull time
Netomi
Indiaa month ago - ...Precision AQ is seeking a Reporting Analyst to help produce routine and ad hoc commercial... ...regarding forecasting, pipeline management, analytics, and commercial KPIs. This role reports... .... Monitor and maintain Salesforce data quality, identifying and escalating inconsistencies...SuggestedFull timeRemote work
Precision AQ
India15 days ago - ...skilled, execution-focused Senior Data Scientist with a minimum of 5... ...at scale, while working with big data technologies and modern... ...systems. Develop advanced analytics and predictive models using... .... Collaborate with engineering teams to integrate models into...Big dataFull time
Proximity
Indiaa month ago - ...In this role, you will transform complex business and market data into actionable insights that support sales strategy, commercial... ...competitive intelligence. Develop comprehensive sales and commercial analytics to evaluate revenue, sales performance, market share,...Full time
Weekday
India14 days ago - ...responsible for building and leading the organisation’s AI and Data engineering capabilities and delivering measurable business value... ...technical leadership across AI/ML, Generative AI, data engineering, analytics, data platforms, and software engineering. 2. Data...Full time
MUFG Bank, Ltd.
India1 day ago - ...We are looking for an experienced Engineering & Data Tools Specialist to support a project focused on improving how advanced AI systems understand... ..., Twilio, or BrowserStack. Background in software engineering, cloud infrastructure, DevOps, data engineering, or analytics....Contract work
Gramian Consulting
Indiaa month ago - ...As a Lead Data Engineer , you will build and lead the data infrastructure powering an intelligent AI assistant that automates operational... ...behind the AI products, spanning real-time data pipelines, analytics infrastructure, vector databases and machine learning data...Full time
Smartworking
India22 days ago - The Role We’re seeking a highly skilled, execution-focused Senior Data Scientist with a minimum of 5 years of experience. This role... ...optimizing machine learning models at scale, while working with big data technologies and modern cloud platforms. You will be responsible...Big dataFull time
Proximity
Indiaa month ago - ...This role is responsible for leading a team of analyst-level professionals and overseeing the day-to-day execution of data management, data governance, and data... ...Databricks , Salesforce , and SQL . ~ Strong analytical and problem-solving skills, with the ability...Full time
Cision
Indiaa month ago - ...are looking for a Quantitative Analyst / Researcher to evaluate,... ...assumptions against live 24/7 market data. Model Risk & Validation... ...& Volatility Volatility Analytics: Calibrate and maintain raw... ...Master’s or Ph.D. in Financial Engineering, Quantitative Finance,...Full timeRemote work
Delta Exchange
India14 days ago - ...centers outside the U.S. As a hub for technological convergence, our engineering talent is a catalyst for innovation in multimedia network and... ...Minimum 14 years of experience with 8+ years of experience in data science, machine learning, or AI, and at least 2+ years in a...Local area
Dish
India12 days ago - ...are seeking an experienced Snowflake Data Engineer with 5–8 years of hands-on experience... ...and timely availability for downstream analytics and reporting. Perform data validation... .... Collaborate with data architects, analysts, application teams, and business stakeholders...Full time
Weekday
India16 days ago - ...realize their greatest potential. Title and Summary Senior Data Engineer - Spark / Kafka / NiFi Job Posting Title: Senior Data Engineer... ...Linux, Git, shell scripting, and CI/CD pipelines. Strong analytical, problem-solving, and communication skills. Experience...Full timeWorldwide
Mastercard
India1 day ago - ...potential. Title and Summary Software Engineer - 1 Job Description Summary Overview... ...based products through streaming analytics with the ability to govern these decisions... ...business rules & AI engines, a streaming big data cluster, an in memory data grids, APIs,...Big dataFull timeWork at officeWorldwide
Mastercard
India1 day ago - ...Req ID: 389196 NTT DATA strives to hire exceptional, innovative... ...(IN-UP), India (IN). Data Engineer Skills: · Tools: Strong knowledge... ...of SQL,Google cloud Platform,Big Query,Python,CI/CD Pipeline,... ...offer solutions · Effective analytical and decision-making skills ·...Big dataWork at officeRemote workFlexible hours
NTT DATA, Inc.
India1 day ago - ...governments realize their greatest potential. Title and Summary Senior Data Scientist Who is Mastercard? Mastercard is a global... ...AI, and apply them to real-world problems. • Promote engineering best practices and contribute to a culture of innovation and collaboration...Full timeWorldwide
Mastercard
India1 day ago - ...We are looking for a highly skilled Data Scientist with expertise in Vision Language... ...closely with machine learning engineers, data engineers, and product teams to build... ...Computer Vision, or Applied AI. ~ Strong analytical, problem-solving, and communication skills...Full time
Weekday
Indiaa month ago - ...taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability. About the Role We are looking for a Senior BI Engineer to join our team and lead the analytics and repor...Temporary work
Tech Holding
Indiaa month ago - ...design, develop, and optimize modern data platforms on Databricks . The... ...have strong expertise in data engineering, cloud technologies, ETL development, and big data processing. You will collaborate... ...data solutions that support analytics, AI , and business intelligence...Big dataFull time
Unison Group
Indiaa month ago - ...Responsibilities: • Ensure 100% utilization of data led features of existing platforms in CMP... ...is preferable • Understanding of Big Data systems is beneficial • Work both... ...Relationship: Healthy communications with analytics, data, channel and other technical teams,...Big dataFull time
- We are looking for a skilled Data Engineer with strong experience in AWS, SQL, Snowflake, BI Connector to snowflake migration . The candidate will be responsible for building data pipelines, migrating BI workloads to Snowflake, optimizing data solutions, and ensuring seamless...Full time
3pillarglobal
Indiaa month ago - ...designing, developing, and optimizing large-scale data pipelines while collaborating closely with cross-functional engineering teams to build reliable, production-grade... .... Collaborate with engineering, product, and analytics teams to deliver robust data solutions....Full time
Proximity
Indiaa month ago - We are looking for an experienced Data Engineer to design, develop, and optimize scalable data platforms and modern cloud-based data solutions... ...collaborate closely with business stakeholders, architects, analysts, and development teams to transform complex data requirements...Full time
Weekday
Indiaa month ago - ...Required Qualifications Strong hands-on Data Engineering experience. Expert-level experience with Databricks . Strong hands-on experience with Databricks Unity Catalog . Strong experience designing Medallion Architecture (Bronze/Silver/Gold) data pipelines...Full time
Enable-data
India11 days ago - Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines , MetLife , MGM , United , and others to enable agentic automation at scale across the entire customer journey. Our no-code platform ...Full time
Netomi
Indiaa month ago - We are looking for a highly skilled Data Scientist with expertise in Vision Language Models (VLMs), Computer Vision, and Multimodal... ...and video. You will collaborate closely with machine learning engineers, data engineers, and product teams to build intelligent AI solutions...Full time
Weekday
Indiaa month ago - ...differences, leads with empathy and values inclusivity. As a Senior Data Scientist , you will build and own machine learning models... ...on customer outcomes. You will work closely with product, engineering, and operations teams, hands-on building and shipping models yourself...Full time
Fourkites
India15 days ago
Do you want to receive more vacancies?
Subscribe and receive similar vacancies to Analyst, Big Data Analytics & Engineering. Be the first to apply!
Related searches