Mastercard is hiring for a FRESHER entry level Data Analyst role in India

Position:

• Data Analyst, Big Data Insights and Engineering, focused on data unification, analytics, and building scalable data driven solutions across multiple datasets
• Entry level role designed for individuals who want to work at the intersection of data engineering, analytics, and product innovation
• Involves working closely with cross functional teams to translate raw data into meaningful insights that influence product development and business strategy
• Opportunity to contribute to next generation cyber intelligence products powered by large scale data processing and advanced analytics
• Requires strong curiosity for solving complex data problems and the ability to work with modern data ecosystems

Company:

• Mastercard
• A globally recognized technology company operating in the digital payments and financial services domain
• Known for enabling secure and seamless transactions across individuals, businesses, and governments
• Focuses on innovation in payments, cybersecurity, and data intelligence to power economies worldwide
• Operates across more than 200 countries and territories, connecting financial ecosystems through advanced infrastructure and partnerships

Location:

• Gurgaon, India
• One of the major technology and financial hubs in India with a strong presence of global companies
• Offers exposure to international projects and collaboration with global teams

Job type:

• Full time
• Permanent role within the organization

Job mode:

• Onsite or Hybrid depending on team and business requirements
• Involves collaboration with internal teams, stakeholders, and global counterparts

Job requisition id:

• R 271905

Years of experience:

• 0 to 3 years
• Suitable for freshers and early career professionals looking to enter data analytics or data engineering roles

Company description:

• Mastercard operates as a leading force in the global digital payments ecosystem, supporting financial transactions across individuals, enterprises, and governments
• The company focuses on building an inclusive digital economy where financial access is available to everyone, regardless of geography or economic background
• Through its advanced technology platforms, Mastercard ensures that transactions remain secure, efficient, and accessible
• The organization invests heavily in innovation, especially in areas like cybersecurity, artificial intelligence, and data intelligence
• Its ecosystem is powered by strong partnerships with financial institutions, merchants, fintech companies, and governments
• Mastercard emphasizes ethical values through its internal culture, which is guided by principles of trust, integrity, and responsibility
• The company’s global reach allows it to influence economic growth by enabling digital commerce and reducing barriers to financial participation
• Employees benefit from working in a highly collaborative environment that values diversity, inclusion, and continuous learning
• Mastercard is also committed to sustainability, aiming to create long term impact through responsible business practices
• The organization encourages employees to contribute ideas that can shape future products and services, making it an ideal place for innovation driven professionals

Profile overview:

• The Analyst role in Big Data Insights and Engineering focuses on integrating and analyzing data from multiple sources to create unified data views
• The candidate will be responsible for building pipelines that collect, process, and transform data into structured formats for analysis
• The role involves working with large scale datasets that are complex, high volume, and multi dimensional in nature
• A key responsibility includes collaborating with teams such as product management, data science, and engineering to deliver impactful data solutions
• The position requires the ability to identify patterns, trends, and anomalies within datasets and translate them into actionable insights
• The candidate will contribute to the development of innovative data driven products, especially in cybersecurity and digital payments
• The role also includes building prototypes and proof of concepts to validate new ideas and technologies
• There is a strong emphasis on data driven decision making, where insights generated from analysis directly influence business outcomes
• The candidate will work on enhancing existing data systems by integrating new data assets that improve the value proposition for customers
• Exposure to real world data challenges will help the individual develop both technical and analytical expertise
• The role requires adaptability, as the candidate will need to switch between technical implementation and business understanding
• The analyst will also be expected to communicate insights effectively to both technical and non technical stakeholders
• Overall, the position offers a blend of data engineering, analytics, and product innovation responsibilities

Qualifications:

• Strong foundation in programming languages such as Python, with hands on experience in libraries like Pandas, Numpy, and PySpark
• Good understanding of SQL for querying and manipulating large datasets
• Exposure to big data technologies such as Hadoop for data storage and processing
• Familiarity with data integration tools like Apache NiFi, Azure Data Factory, Pentaho, or Talend
• Basic knowledge of machine learning concepts and data mining techniques
• Understanding of data modeling, data transformation, and reporting methodologies
• Experience or exposure to business intelligence platforms for data visualization and reporting
• Knowledge of generative AI or large language models for automating data workflows is an added advantage
• Ability to work with structured and unstructured data from multiple sources
• Strong analytical thinking and problem solving skills
• Capability to identify data inconsistencies and ensure data quality
• Understanding of metrics, benchmarking, and performance measurement techniques
• Familiarity with graph databases is considered beneficial but not mandatory
• Ability to collaborate effectively with cross functional teams
• Good communication skills to explain complex data concepts in a simple manner
• Ability to manage multiple tasks in a fast paced environment
• Willingness to learn new tools and technologies as required by the role

Additional info:

• The role involves handling sensitive financial and transactional data, making information security a key responsibility
• Employees are expected to strictly follow company policies related to data security and confidentiality
• Any potential security risks or breaches must be reported promptly
• Regular training sessions are conducted to ensure employees stay updated on security practices
• The organization values integrity and expects candidates to maintain honesty throughout the hiring process
• Candidates are encouraged to follow ethical practices during interviews and assessments
• The company provides opportunities for continuous learning and skill development
• Exposure to global teams allows employees to gain international work experience
• The work environment encourages innovation, collaboration, and knowledge sharing
• Employees get the chance to work on cutting edge technologies in data and analytics
• The role provides a strong foundation for career growth in data science, analytics, and engineering domains
• There is significant focus on building scalable and efficient data systems that support business operations
• Employees are encouraged to take ownership of their work and contribute ideas that drive improvement
• The organization promotes diversity and inclusion, ensuring equal opportunities for all employees
• This role serves as a stepping stone for individuals aiming to build a career in the data and technology industry

Please click here to apply.