Research Manager – Quantitative Market Research, Data Storage & Enablement (L7)
Mastercard is seeking a Research Manager to lead quantitative research workstreams and manage research data assets within the Advisors Research Center. You will be responsible for end-to-end survey execution, including fieldwork, analysis, and interpretation of insights for global stakeholders. A core part of the role involves implementing rigorous data organization, documentation, and version control standards for survey datasets. This position requires deep expertise in quantitative methodologies and research software like SPSS or Q.
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Experience
5-7 years
Function
Research
Work mode
Onsite, India
Company
Tier 1
What you will work on
Mastercard is seeking a Research Manager to lead quantitative research workstreams and manage research data assets within the Advisors Research Center. You will be responsible for end-to-end survey execution, including fieldwork, analysis, and interpretation of insights for global stakeholders. A core part of the role involves implementing rigorous data organization, documentation, and version control standards for survey datasets. This position requires deep expertise in quantitative methodologies and research software like SPSS or Q.
TAL's take
Senior role at a globally recognized tier-1 company with clear project management and research responsibilities.
The JD is extremely clear about the responsibilities regarding quantitative research execution and data repository management.
Salaries at Mastercard
27.6 LPA average
Based on 95 Grapevine salary entries for Mastercard.
Legal
0 - 2 years | L9
7 LPA average
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Engineering
0 - 2 years | L9
14 LPA average
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Other roles
0 - 2 years | L9
15 LPA average
Range: 11 - 18 LPA
Operations
2 - 4 years | L8
15 LPA average
Range: 15 - 15 LPA
Must haves
- 5-7 years experience in primary quantitative market research
- Experience in agency or consulting led environment
- Strong understanding of end-to-end survey research
- Experience managing quantitative research data repositories or shared datasets
- Proficiency with SPSS, Q, DisplayR, or R
Tools and skills
About the company
Global financial services leader and well-known payment network.
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