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

Position:

Associate Data Analyst, Data Strategy-1

• Entry level opportunity focused on data strategy, data quality, and analytics
• Designed for candidates who are beginning their careers in data and analytics
• Involves working closely with cross functional teams to ensure high quality data usage across business units
• Combines analytical thinking with technical execution across dashboards, pipelines, and reporting
• Offers exposure to enterprise scale data systems and real world business impact

Company:

Mastercard

• A globally recognized payments technology company operating in over 200 countries and territories
• Focused on enabling secure, seamless, and accessible digital transactions worldwide
• Known for building scalable financial infrastructure that powers individuals, businesses, and governments
• Strong emphasis on innovation, partnerships, and digital transformation
• A leader in driving financial inclusion and building sustainable economic ecosystems

Location:

Gurgaon, India

• Based in a major corporate and technology hub in India
• Opportunity to work in a fast paced, global work environment
• Exposure to international teams and cross geography collaboration

Job type:

Full time

• Permanent employment with long term growth potential
• Structured work environment with defined responsibilities and career progression

Job mode:

Onsite

• Primarily office based role
• Encourages collaboration with internal teams and stakeholders

Job requisition id:

R-274256

• Unique identifier for tracking the job application and recruitment process

Years of experience:

0-3 years

• Suitable for freshers and early career professionals
• Open to candidates with limited or no prior industry experience

Company description:

• Mastercard operates as a global technology company that focuses on enabling digital payments and financial connectivity
• The company plays a critical role in powering transactions across multiple industries and sectors, ensuring that payments are secure, efficient, and accessible
• It collaborates with banks, merchants, governments, and fintech companies to create innovative solutions that enhance financial systems
• The organization is deeply committed to building a sustainable economy where individuals and businesses can grow and succeed
• Its services extend beyond payments into areas like data analytics, cybersecurity, and digital identity
• Mastercard continuously invests in technology and innovation to improve customer experience and strengthen its global network
• With a presence in over 200 countries, the company has built a reputation for reliability, trust, and performance
• It emphasizes inclusivity and aims to bring more people into the formal financial ecosystem
• Employees at Mastercard get the opportunity to work on impactful projects that influence global commerce
• The organization fosters a culture of collaboration, innovation, and continuous learning

Profile overview:

• The role is centered around supporting the organization’s data strategy initiatives, with a focus on improving data quality and usability
• Candidates will work within the Data Strategy and Management division, contributing to enterprise level data quality programs
• The position requires collaboration with multiple stakeholders including data engineers, analysts, business teams, and subject matter experts
• A key part of the role involves building and maintaining dashboards that provide insights into data quality and performance metrics
• The candidate will also be responsible for automating data workflows and ensuring that pipelines run efficiently across systems
• Analytical skills will be used to extract insights from datasets and communicate findings to relevant teams
• The role offers hands on exposure to modern data tools and technologies, including cloud platforms and BI tools
• It requires a mix of technical capability and business understanding to ensure data is aligned with organizational goals
• The position is ideal for individuals who are curious, detail oriented, and eager to learn
• It provides a strong foundation for building a career in data analytics, data engineering, or data strategy

Qualifications:

• Bachelor’s degree in data science, computer science, or a related field is required
• A master’s degree can provide an additional advantage but is not mandatory
• Strong understanding of data concepts including data management, data ecosystems, and analytics workflows
• Hands on experience with data visualization tools such as Tableau and Power BI
• Proficiency in SQL for querying and analyzing structured datasets
• Basic knowledge of Python and its use in data processing and analysis
• Familiarity with ETL processes, data transformation, and data cleaning techniques
• Exposure to cloud based data storage and processing systems is considered beneficial
• Strong problem solving skills with the ability to analyze complex datasets
• Good communication skills to present insights and collaborate with teams
• Ability to manage tasks, improve processes, and contribute to project execution
• A mindset focused on learning, curiosity, and continuous improvement

Additional info:

• The role is part of the Data Quality team, which ensures that enterprise data meets high standards for accuracy and usability
• Employees are expected to contribute to maintaining and improving data quality across the organization
• The position involves working with both technical and business stakeholders to align data initiatives with business needs
• Candidates will be required to follow strict data security and confidentiality guidelines
• Responsibility includes identifying potential data issues and reporting any security concerns
• Employees must adhere to company policies related to information security and complete required training programs
• The company values integrity and expects candidates to participate honestly in the hiring process
• There are guidelines around the use of AI tools during recruitment, which candidates are encouraged to review
• The role offers opportunities for growth within the data and analytics domain
• Employees can expect exposure to large scale data systems and real world business challenges

Please click here to apply.