Analyst (R-17082)

Sorry, this job was removed at 08:51 a.m. (CST) on Monday, Feb 24, 2025
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Mumbai, Maharashtra
Hybrid
Artificial Intelligence • Big Data • Fintech • Machine Learning • Software • Generative AI • Big Data Analytics
Leading global provider of business decisioning data and analytics, enabling companies to improve business performance.
The Role

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.

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.


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The Company
HQ: Jacksonville, FL
6,317 Employees
Year Founded: 1841

What We Do

Dun & Bradstreet, a leading global provider of business decisioning data and analytics, enables companies around the world to improve their business performance. Dun & Bradstreet’s Data Cloud fuels solutions and delivers insights that empower customers to accelerate revenue, lower cost, mitigate risk, and transform their businesses.

Since 1841, companies of every size have relied on Dun & Bradstreet to help them manage risk and reveal opportunity. For more information on Dun & Bradstreet, please visit www.dnb.com.

Why Work With Us

We are at a transformational moment in our company journey, and we’re excited about it. Each day, we are taking steps to transform our culture into one that activates our people’s best work, exploring what needs to change to accelerate creativity and innovation, and challenging ourselves to think differently about how we interact.

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