Mastercard Careers 2024: Hiring For Data Analyst!

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Mastercard Careers 2024: hiring for Data Analyst. Candidates with Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, MS/ MBA  are eligible to apply. The detailed eligibility and application process for are given below.

Mastercard Careers

Details About Mastercard Careers 2024:

Company Website : www.mastercard.co.in

Job Role: Data Analyst

Qualification: Bachelor’s/ Master’s Degree/ MS/ MBA

Batch: Recent Batches

Experience: Freshers

Salary: ₹ 12 Lakh Per Year (Via Glassdoor)

Job Location: Gurgaon

Last Date: ASAP

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Overview of Mastercard Careers

Data Analytics has pioneered a transaction-based revenue methodology to inform and guide Mastercard’s Strategy, Product Design, and Innovation. We build internal analytics partnerships, strengthening their focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.

  • Are you excited about Data Assets and the value they bring to an organization?
  • Are you an evangelist for data driven decision making?
  • Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents?
  • Do you want to be the go-to resource for data analytics in the company?

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Role at Mastercard Careers:

  • Work closely with global acceptance teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data in order to support analytics and reporting needs across products, markets and services.
  • Translate business requirements into tangible solution specifications and high quality, on time deliverables
  • Effectively use tools to manipulate large-scale databases, synthesizing data insights, Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel, and PowerPoint.
  • Apply quality control, data validation, and cleansing processes to new and existing data sources

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All About You

  • Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
  • Financial Institution or a Payments experience a plus
  • Experience presenting data findings in a readable and insight driven format, Experience building professional PowerPoint decks.
  • Expertise in Advanced SQL coding
  • Experience on Platforms/Environments: SQL Server, Microsoft BI Stack, Python
  • Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage
  • Experience in building data models a plus
  • Experience with data visualization tools such as Tableau, PowerBI, Tableau Certification a plus
  • Experience with Hadoop environments, Hive, Python a plus
  • Excellent problem solving, quantitative and analytical skills
  • In depth technical knowledge, drive and ability to learn new technologies
  • Strong attention to detail and quality
  • Team player, excellent communication skills
  • Must be able to interact with management, internal stakeholders and collect requirements
  • Must be able to perform in a team, use judgment and operate under ambiguity

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Education for Mastercard Careers:

Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred

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Additional Competencies

  • Excellent English, quantitative, technical, and communication (oral/written) skills
  • Analytical/Problem Solving
  • Strong attention to detail and quality
  • Work in Global team
  • Self-motivated, operates with a sense of urgency
  • Project Management/Risk Mitigation
  • Able to prioritize and perform multiple tasks simultaneously

How to Apply For Mastercard Careers Hiring 2024?

All interested and eligible candidates can apply for Mastercard Careers 2024 online by the following link as soon as possible.

Apply Link:  Click here

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