Why We Work at Dun & Bradstreet
Dun & 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: Analyst
Location: Turbhe, Navi Mumbai
Key Responsibilities
- Economic Report Writing: Author high-quality, insightful reports and whitepapers giving readers a 360° perspective on Indian and global economic and sector-specific risks.
- Data Management: Maintain, update, and enhance data files regularly to ensure accuracy and timeliness, supporting ongoing analysis and reporting needs.
- Forecasting & Econometric Modeling: Develop and implement econometric models to forecast key economic variables, ensuring a strong analytical foundation for all client-facing content.
- Thematic & Sectoral Research: Conduct in-depth thematic and sectoral research to analyze economic, political, and commercial risk trends across countries. This includes developing risk measures, identifying emerging trends, and producing sector-specific insights that resonate with diverse client needs.
- Custom Insights & Thought Leadership: Support custom consulting projects, contribute to thought leadership initiatives, and create content for presentations, media engagements, and executive communications.
- Real-Time Economic Analysis: Provide responsive, ad-hoc analysis to capture the impact of economic data releases or news events, ensuring timely and relevant updates for clients.
Key Requirements
- Master’s degree in economics, quantitative economics, or a related field.
- At least 2 years of experience in economic research, data analysis, and econometric modeling, with a track record of publishing insightful reports.
- Strong skills in data analysis tools, with hands-on experience in R or Python for economic modeling and data manipulation.
- Proficiency in handling large datasets and maintaining data files, with an eye for detail and data accuracy.
- Excellent writing and communication abilities, capable of conveying complex economic insights in a clear, accessible manner.
- Strong interpersonal skills and the ability to work effectively within a team environment, including client-facing interactions.
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