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Specialist, Product Management
Mastercard
naukri
Gurugram
4-7 years
Not Disclosed
Full time
30 April 2026
Top Skills:
Product ManagementData AnalyticsPythonAgileSalesRRisk ManagementManagement ConsultingBankingDigital PaymentsProject ManagementTableauEcommerceMarketingMachine LearningSqlHiveForecastingBig DataRegressionHadoopA/b TestingAgileBfsiBig DataData AnalyticsForecastingHadoopHiveImpact AnalysisMachine LearningManagement ConsultingProduct DevelopmentProject DeliveryProject ManagementPysparkPythonRRetail BankingRisk ManagementSaleShapingSqlTableauVerbal Communication Skill

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Job Description iconJob Description
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  • Associate Consultant, AdvisorsThe Data Services team is a key differentiator for Mastercard, providing the cutting-edge services that help our customers grow
  • Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base
  • We combine traditional management consulting with our rich data assets and in-house technology to provide our clients with powerful strategic insights and recommendations
  • Centered on data-driven technologies and innovation, these services include consulting, loyalty and marketing programs, test-and-learn business experimentation, and data-driven information and risk management services
  • While specializing in the payments industry, Mastercard Data Services also works closely with major retailers, airlines, and other enterprises, leveraging data and insights garnered from within and beyond its network
  • We are looking for passionate and talented graduates, who share our vision for data-driven consulting, to join us and take a leading role in shaping the growth of our team
  • As a Specialist, you will have the opportunity to actively contribute to client engagements across the regions and types of projects, such as consulting services, test learn, value story and impact analysis, or building scalable advanced analytics solutions for Loyalty Product clients
  • We recruit for and value the following core competencies:Passion: Actively seeks responsibility and takes pride in delivering the highest quality results and recommendations to our clients
  • Analytic Excellence: Demonstrates a strong aptitude for structured problem solving and quantitative skills
  • Project Management: Clear interest in project delivery with business clients, and intuition for the way that companies make decisions
  • Communication and Presence: Excellent written and verbal communication skills in client-facing situations, positioning Mastercards solutions as high value solutions in sales and delivery conversations
  • Teamwork: Willingness to work within small teams to produce outstanding deliverables, with a will to win attitude
  • Integrity: Commitment to Mastercard''s values of honesty and integrity with a willingness to embrace and learn from our mistakes
  • Diverse Perspective: Brings a unique skillset or approach to the table in every client engagement or internal activity

Qualifications:

  • Undergraduate or masters degree with 2+ years of experience in a data-driven consulting/analytics organization
  • Expertise on one or more of SQL, Python, Big data / Hadoop (Pyspark / ScalaSpark / SparkR), HQL, Hive, R
  • Expertise on one or more data visualisation tools like PowerBI and Tableau
  • Experience with campaign insights, A/B testing, data-driven product development, machine learning models for segmentation, forecasting, regression etc preferred
  • Exceptional analytical and quantitative problem-solving skills and ability to structure analyses to form data-driven solutions to ambiguous client challengesExposure specifically in payments / retail banking / eCommerce / BFSI merchants / Loyalty / Marketing preferred
  • Ability to communicate complex ideas effectively both verbally and in writing in English and the local office language(s)
  • Demonstrated ability to build trust-based relationships with colleagues and clients Ability to multi-task in a fast-paced, deadline-driven environment
  • Advanced Word, Excel, PowerPoint and data analytics skills
  • Candidates must be eligible to work in the country of which they are applying for a position in, as well as eligible to apply for travel visas as required by travel needs