Mastercard is hiring for an FRESHER entry level Analyst - Big Data Analytics & Engineering role in India

Position:

• Data Analyst, Big Data Analytics and Engineering
• Analyst, Value Enablement and Optimization role with a strong focus on combining analytics, engineering, and business understanding
• Entry level to early career role designed for individuals interested in working at the intersection of data, AI, and business impact
• Opportunity to work on real world business problems using large scale datasets and analytical tools
• Focus on building value driven analytical solutions that directly influence decision making and client engagement
• Role involves both technical execution and understanding of business use cases
• Positioned within a high impact function that supports internal teams in quantifying service value and improving customer outcomes

Company:

• Mastercard
• A globally recognized technology company in the payments industry
• Known for driving innovation in digital payments and financial technology
• Works with financial institutions, governments, merchants, and businesses across the world
• Focused on creating secure, seamless, and accessible payment ecosystems
• Strong emphasis on data driven decision making, AI integration, and analytics innovation
• Culture built around inclusivity, ethics, and responsible innovation
• Operates across more than 200 countries and territories globally
• Plays a major role in shaping the global digital economy through technology and partnerships

Location:

• Gurgaon, India
• One of the major corporate and technology hubs in India
• Location offers exposure to global teams and cross functional collaboration
• Office environment designed to support innovation, teamwork, and productivity
• Strategic location that supports collaboration with both domestic and international stakeholders

Job type:

• Full time employment
• Permanent role with long term career growth opportunities
• Structured role with defined responsibilities and expectations
• Opportunity to work on impactful projects from early stages of career

Job mode:

• Onsite or hybrid depending on team requirements
• Requires collaboration with multiple teams, making physical or hybrid presence beneficial
• Involves interaction with stakeholders across departments

Job requisition id:

• R-272179

Years of experience:

• Not explicitly mentioned in the job description
• Role aligns with freshers or candidates with early career experience or fresher
• Suitable for candidates with strong foundational knowledge in analytics and programming

Company description:

• Mastercard is a global leader in financial technology, focusing on enabling secure and efficient digital transactions across the world
• The company operates at a massive scale, connecting consumers, businesses, banks, and governments through its advanced payment network
• Its mission revolves around building a digital economy that is inclusive and accessible to everyone, regardless of geography or economic background
• By leveraging cutting edge technologies such as artificial intelligence, big data analytics, and machine learning, Mastercard continuously enhances the way transactions are processed and analyzed
• The company focuses heavily on innovation, constantly introducing new products and services that simplify payments and improve user experiences
• Mastercard also places strong emphasis on security, ensuring that all transactions are protected through advanced fraud detection and cybersecurity measures
• Its partnerships with global institutions allow it to create solutions that go beyond payments, including analytics, consulting, and value added services
• The organization promotes a culture of respect, diversity, and ethical behavior through its Decency Quotient philosophy
• Employees are encouraged to collaborate, innovate, and contribute to meaningful projects that have a global impact
• Mastercard is also committed to sustainability and responsible business practices, working towards building a better economic future for all stakeholders

Profile overview:

• The role is designed for individuals who can combine technical expertise with business understanding to solve real world problems
• As an Analyst in Big Data Analytics and Engineering, the candidate will work on building analytical tools that help quantify business value
• The role requires working with large datasets, extracting insights, and translating those insights into actionable outcomes
• Candidates will be involved in developing tools such as ROI calculators and dashboards that help internal teams communicate value to clients
• The position involves applying artificial intelligence and analytics techniques to enhance decision making processes
• A key aspect of the role is collaboration with multiple teams including sales, product, consulting, and customer success
• The candidate will play a role in improving customer engagement strategies through data driven insights
• The position also focuses on improving internal processes by identifying inefficiencies and suggesting optimized solutions
• Strong communication skills are essential as the role requires presenting insights to stakeholders and leadership teams
• The candidate is expected to take ownership of tasks, manage timelines, and deliver measurable outcomes
• Exposure to real business challenges and the opportunity to influence strategic decisions makes this role highly impactful
• Overall, the role is a blend of analytics, engineering, and business strategy

Qualifications:

• Bachelor’s degree in fields such as Data Science, Computer Science, Business Analytics, Economics, or Finance
• Strong understanding of data analytics concepts and techniques
• Knowledge of programming languages such as Python or R for data analysis and model development
• Familiarity with SQL for querying and managing large datasets
• Understanding of machine learning concepts including regression, classification, and clustering
• Experience or knowledge of business intelligence tools like Tableau or Power BI
• Ability to perform statistical analysis to identify patterns, trends, and relationships in data
• Strong Excel skills including advanced formulas, pivot tables, and data visualization
• Basic understanding of web based platforms and tools for building analytical solutions
• Ability to translate business requirements into technical solutions
• Strong problem solving skills and analytical thinking
• Good communication skills to present insights in a clear and structured manner
• Ability to work collaboratively in cross functional teams
• Willingness to learn new tools, technologies, and methodologies
• Attention to detail and focus on accuracy in data analysis
• Strong time management skills and ability to handle multiple tasks
• Interest in applying analytics to solve business problems
• Understanding of data driven decision making processes
• Exposure to AI and machine learning concepts is preferred
• Certifications in analytics or data science can be an added advantage

Additional info:

• The role involves handling sensitive data, making adherence to security policies extremely important
• Candidates are expected to maintain confidentiality and ensure data integrity at all times
• Any potential security risks or issues must be reported promptly
• Completion of mandatory security training programs is required as part of the role
• The company expects candidates to maintain honesty and integrity throughout the hiring process
• Use of AI tools during the application process should align with company guidelines
• Employees are encouraged to continuously learn and upgrade their skills
• The organization provides opportunities to work on innovative projects with real business impact
• Exposure to global teams and international work environment enhances learning experience
• The role offers strong career growth opportunities within the analytics and data domain
• Candidates will gain hands on experience in building scalable analytics solutions
• Opportunity to work with large scale data and advanced analytical tools
• Strong emphasis on collaboration and teamwork within the organization
• The company supports employee development through training and mentorship programs
• Work culture promotes inclusivity, respect, and professional growth
• Employees are encouraged to contribute ideas and participate in innovation initiatives
• The role provides exposure to both technical and business aspects of analytics
• Opportunity to develop presentation and stakeholder management skills
• Candidates will work on projects that directly impact business performance
• Overall, the role offers a strong foundation for building a career in data analytics and engineering

Please click here to apply.