Team Lead-Quantitative Research (R-17585)
Why We Work at Dun & BradstreetDun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers.Designation - Team Lead- Consulting (Quantitative Research)
Business Unit- Research Core
Location- Mumbai, Delhi, Bangalore Key Responsibilities
Lead and execute quantitative research mandates, including NPS, CSAT, brand perception studies, and behavioral research projects.
Develop and implement appropriate research methodologies, including survey design, sampling techniques, and data collection strategies.
Perform advanced statistical analyses to uncover actionable insights from research data.
Generate reports and presentations that clearly communicate research findings, trends, and strategic recommendations.
Engage directly with senior management clients to understand business objectives and translate them into actionable research projects.
Present findings and strategic insights to key stakeholders, ensuring clarity and impact.
Manage multiple projects simultaneously, ensuring timely and high-quality deliverables.
Act as a Subject Matter Expert (SME) in quantitative research during client interactions and proposals.
Assist the sales team by preparing compelling proposals, concept notes, and presentations.
Develop case studies and white papers showcasing research capabilities and project successes.
Support sales efforts by identifying opportunities for new or repeat mandates.
Lead, mentor, and manage a team of researchers and analysts, fostering a culture of innovation and continuous improvement.
Provide training on best practices for quantitative research and analysis.
Collaborate with internal departments such as Sales, Legal, and Finance for seamless project execution. Key Requirements
Postgraduate degree in Business, Statistics, Market Research, or a related field.
Minimum 7-8 years of relevant experience in quantitative research and data analysis.
Proficiency in data analysis and visualization tools such as Power BI, R, Python, or similar platforms.
Deep understanding of NPS, CSAT, and other quantitative research methodologies.
Exceptional communication and storytelling skills, with the ability to translate complex data into actionable insights.
Proven ability to lead projects and manage stakeholder expectations in dynamic environments.
Strong customer focus and results orientation.
Excellent problem-solving and analytical thinking abilities.
Willingness to travel across India as required. Additional Information
All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.
Apply Now
Business Unit- Research Core
Location- Mumbai, Delhi, Bangalore Key Responsibilities
Lead and execute quantitative research mandates, including NPS, CSAT, brand perception studies, and behavioral research projects.
Develop and implement appropriate research methodologies, including survey design, sampling techniques, and data collection strategies.
Perform advanced statistical analyses to uncover actionable insights from research data.
Generate reports and presentations that clearly communicate research findings, trends, and strategic recommendations.
Engage directly with senior management clients to understand business objectives and translate them into actionable research projects.
Present findings and strategic insights to key stakeholders, ensuring clarity and impact.
Manage multiple projects simultaneously, ensuring timely and high-quality deliverables.
Act as a Subject Matter Expert (SME) in quantitative research during client interactions and proposals.
Assist the sales team by preparing compelling proposals, concept notes, and presentations.
Develop case studies and white papers showcasing research capabilities and project successes.
Support sales efforts by identifying opportunities for new or repeat mandates.
Lead, mentor, and manage a team of researchers and analysts, fostering a culture of innovation and continuous improvement.
Provide training on best practices for quantitative research and analysis.
Collaborate with internal departments such as Sales, Legal, and Finance for seamless project execution. Key Requirements
Postgraduate degree in Business, Statistics, Market Research, or a related field.
Minimum 7-8 years of relevant experience in quantitative research and data analysis.
Proficiency in data analysis and visualization tools such as Power BI, R, Python, or similar platforms.
Deep understanding of NPS, CSAT, and other quantitative research methodologies.
Exceptional communication and storytelling skills, with the ability to translate complex data into actionable insights.
Proven ability to lead projects and manage stakeholder expectations in dynamic environments.
Strong customer focus and results orientation.
Excellent problem-solving and analytical thinking abilities.
Willingness to travel across India as required. Additional Information
All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.
Apply Now