Mastercard is hiring for Data Analyst | Apply Now!

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Mastercard is looking for Data Analyst in Gurgaon, India. Candidates with a Bachelor’s/ Master’s Degree/ MS/MBA are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.

Job Description:

Company NameMastercard
PositionData Analyst
QualificationsBachelor’s/ Master’s Degree/ MS/MBA
Batch2019/ 2020/ 2021/ 2022/ 2023/ 2024
ExperienceFreshers/ Experienced
LocationGurgaon, India

Key Responsibilities:

  • Collaborate closely with global acceptance teams to design, develop, and sustain advanced reporting and data visualization capabilities for handling extensive datasets, catering to analytics and reporting necessities across various products, markets, and services.
  • Convert business requirements into concrete solution specifications and ensure the timely delivery of high-quality outcomes.
  • Proficiently utilize tools to manipulate large-scale databases, extract data insights, offer initial insights, assessments, and conclusions, and present findings through Tableau/PowerBI dashboards, Excel, and PowerPoint.
  • Implement quality control measures, data validation processes, and data cleansing techniques for both new and existing data sources.

Eligibility Criteria:

  • Bachelor’s or Master’s Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics; M.S./M.B.A. preferred.
  • Proficiency in data management, data mining, data analytics, data reporting, data product development, and quantitative analysis.
  • Previous experience in a Financial Institution or Payments environment is advantageous.
  • Ability to present data findings in a readable and insight-driven format, including building professional PowerPoint decks.
  • Advanced proficiency in SQL coding.
  • Familiarity with Platforms/Environments such as SQL Server, Microsoft BI Stack, and Python.
  • Experience with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS) is beneficial.
  • Experience in constructing data models is a positive attribute.
  • Familiarity with data visualization tools like Tableau and PowerBI; Tableau Certification is advantageous.
  • Experience with Hadoop environments, Hive, and Python is a bonus.
  • Strong problem-solving, quantitative, and analytical skills.
  • Demonstrated technical expertise, drive, and ability to learn new technologies.
  • Exceptional attention to detail and commitment to quality.
  • Capable of working effectively as part of a team, with excellent communication skills.
  • Ability to interact with management and internal stakeholders to gather requirements.
  • Proficiency in operating under ambiguity and making judgments within a team setting.

Preferred skills:

  • Excellent English proficiency, with strong quantitative, technical, and communication (oral/written) skills.
  • Strong analytical and problem-solving abilities.
  • Ability to work in a global team setting.
  • Self-motivated, with a sense of urgency in task execution.
  • Competency in project management and risk mitigation.
  • Able to prioritize and handle multiple tasks concurrently.

About Company:

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

How To Apply?

  • First, read through all of the job details on this page.
  • Scroll down and press the Click Here button.
  • To be redirected to the official website, click on the apply link.
  • Fill the details with the information provided.
  • Before submitting the application, cross-check the information you’ve provided.

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