ARC Research Manager – Quantitative Research, Data Visualization and Research Analysis (L7)

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 ARC Research Manager – Quantitative Research, Data Visualization and Research Analysis (L7) Overview The Advisors Research Center (ARC) is a global team of researchers within Mastercard that delivers high‑quality, end‑to‑end primary 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. The GFI team works closely with ARC researchers and consultants to ensure consistency, speed, and quality across research execution and outputs. 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 Data Visualization and Reporting Manager, you will be responsible for managing and delivering quantitative research workstreams across multiple markets. You will own fieldwork execution while also applying technical judgment across survey scripting, data validation, and analysis to ensure high quality research outcomes. Candidates for this position should have strong end to end quantitative research experience and be comfortable working across the full research lifecycle. Key responsibilities include: • Manage and execute quantitative research workstreams across global and regional studies • Own quantitative fieldwork execution, data analysis, reporting and generating insights • Collaborating with project teams to identify business questions, key performance indicators (KPIs), and reporting requirements. • Review outputs for accuracy, formatting consistency, and clarity • Creating compelling visual narratives, charts, and infographics to explain complex data trends clearly • Building interactive, real-time research dashboards (using tools like Power BI) to support team analyze quantitative research data • Translate complex datasets into clear narratives that guide actionable insights Qualifications & Skills: • 5–10 years’ experience at a research agency executing end-to-end custom research (i.e. questionnaire design, survey programming, data analysis, reporting, and presenting) • Strong understanding of end‑to‑end quantitative research methodologies and workflows • Hands‑on experience managing quantitative fieldwork and working with panels • Proficiency with quantitative research and analytical tools (e.g., SPSS, Q, R, DisplayR, or similar) • Demonstrated experience working on research across a range of methodologies and approaches (e.g. U&A, Conjoint/ Discrete Choice, Concept tests, MaxDiff, Driver’s Analysis, Segmentation Analysis, etc.) • Experience translating research findings into strategic insights. • Strong project management experience with an ability to manage several projects at the same time. • Some experience with qualitative research, specifically In-depth Interviews and Focus Groups is preferred. • Advanced Word, Excel, and PowerPoint skills required; knowledge of Project Management tools preferred All About You • Naturally curious about data, research, and consumer behavior • Comfortable taking ownership of defined workstreams and delivering against timeli ... (truncated, view full listing at source)