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Dun & Bradstreet is seeking an Analyst to support data-driven decision-making by collecting, cleaning, and analyzing datasets from multiple sources in a production environment. You will prepare reports, create visualizations, and collaborate with departments to meet data needs.
Ideal candidates have a strong background in data analysis, visualization, and MS Office, with a master’s degree in MBA/Finance or related fields, and fluent English.
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.
The Data Acquisition (Trade) function is to drive the growth of program participation and credit data from new and established providers. As an Analyst, you will play a vital role in supporting our data‑driven decision‑making processes. Your primary responsibilities will include collecting, cleaning, and analyzing data from various sources. You will perform data analysis to evaluate data for quality and eligibility, create basic visualizations to present findings, and prepare reports to communicate insights to team members and stakeholders. Additionally, you will collaborate with different departments to understand their data needs and assist in maintaining and optimizing datasets.
All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please visit https://bit.ly/3LMn4CQ.