Ekata
Ekata provides global identity verification data via APIs and a SaaS solution to help businesses around the world assess digital risk.
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- Location
- India
- Type
- Full-time
- Posted
- Jul 31, 2026
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Research Manager – Quantitative Market Research & Knowledge Management
at Ekata
Our Purpose
Mastercard powers economies and empowers people in 200 + countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Research Manager – Quantitative Market Research & Knowledge Management
Overview
The Advisors Research Center (ARC) is a global team of researchers within
Mastercard that delivers high‑quality, end‑to‑end research in support of
Mastercard’s Advisors and Consulting Services. ARC partners closely with
consulting teams and internal stakeholders to design, execute, and deliver
rigorous research that informs strategic decision‑making for clients across
industries and markets.
As part of ARC’s continued growth, Global Facilities India (GFI) supports
global and regional ARC engagements by providing scalable, high‑quality
quantitative research delivery.
This role sits within the ARC Quant Research capability in GFI and plays a key
role in managing quantitative research execution across fieldwork, scripting,
data quality, and analysis for global research projects.
Role:
As a Research Manager – Quantitative Research & Knowledge Management you will
manage quantitative research workstreams across the full project lifecycle
while also ensuring that survey data, outputs, and supporting documentation
are stored, structured, and reusable across ARC.
Candidates for this position should have strong end to end quantitative
research and is a can understand how research data should be organized,
documented, and maintained so it can be accessed and reused responsibly over
time.
This is not an IT or systems role; it is grounded in primary market research
processes and content.
Key responsibilities include:
Quantitative Research Delivery
• Manage and execute quantitative research workstreams across global and
regional studies
• Coordinate and execute quantitative survey design, fieldwork execution, data
processing, data analysis and insight generation
• Creating compelling visual narratives, charts, and infographics to explain
complex data trends clearly
• Translate complex datasets into clear narratives that guide actionable
insights and build client reports as per research requirements
• Develop client facing reports in-line with Mastercard standards and in
collaboration with the respective regional teams
Data Storage, Documentation & Research Asset Management
• Own the storage and organisation of survey datasets, trackers, and research
outputs in line with ARC standards
• Apply and maintain clear data structures, naming conventions, and version
control across studies
• Ensure that the data is discoverable (via use of AI agents) and reusable
across new projects.
• Ensure datasets are clean, validated, and analysis ready prior to final
storage
• Apply consistent standards to reduce errors, duplication, or loss of
institutional knowledge
Ways of Working & Collaboration
• Partner with ARC researchers and GFI teams across regions to ensure smooth
research delivery
• Identify opportunities to improve efficiency, clarity, and reuse of research
assets
• Contribute to templates and guidelines related to quantitative research
documentation
Qualifications & Experience
Core Research Experience
• Demonstrated experience in quantitative primary market research, with prior
hands-on research experience within a product, technology, or digital-first
organization required
• Strong expertise across the end-to-end quantitative research lifecycle,
including research design, questionnaire development, fieldwork management,
statistical analysis, insight generation, and reporting
• Hands-on proficiency in advanced quantitative research methodologies,
including MaxDiff, Conjoint Analysis, Segmentation, and Regression Analysis,
with the ability to apply these approaches to solve complex business and
customer questions
Data Storage & Repository Experience (Required)
• Demonstrated prior experience managing quantitative research data
repositories, trackers, or shared datasets
• Proven ownership of data organization, documentation, version control, and
reuse standards across multiple studies or programmed
Technical & Tooling Skills
• Experience using quantitative tools such as SPSS, Q, DisplayR, R, or similar
• Strong proficiency in Excel, PowerPoint, and Word for analysis and reporting
• Confident handling multi market and longitudinal datasets
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
-
Abide by Mastercard’s security policies and practices;
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Ensure the confidentiality and integrity of the information being accessed;
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Report any suspected information security violation or breach, and
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Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.