Senior Analyst R-19107

Shape the Future with Dun & Bradstreet

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. For over 180 years, 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.

As a data analyst, you will play a vital role in supporting our data-driven decision-making processes. You will leverage advanced skills in various analytical tasks on large datasets. You will drive innovation in data collection and delivery processes, utilize visual analytics tools, and identify errors and omissions in data assets. Additionally, you will synthesize, interpret, and translate complex data to derive business insights.

• Leverage advanced analytical skills to collect, organize, and deliver large datasets from multiple channels and sources, ensuring comprehensive data integration.


• Provide technical expertise in various analytical tasks, including design, development, validation, calibration, documentation, implementation, monitoring, and reporting.


• Review and test data to ensure it meets high standards of quality, accuracy, and reliability.


• Identify and drive continuous improvements in data collection and delivery processes, utilizing innovative approaches to enhance efficiencies and effectiveness.


• Proactively analyze and troubleshoot data-related issues, assess their criticality, escalate for timely resolution, and lead problem-solving efforts.


• Utilize a variety of query and visualization tools, such as Power BI, to identify and understand platform issues or events.


• Collaborate with internal and external stakeholders on data compilation, analysis, and quality assurance.

• Bachelor’s degree in data science, Information Systems, Computer Science, Mathematics, Statistics, Economics or a related field. Master’s Degree is a plus.


• 6+ years of experience in data visualization, analysis, investigations, statistics and/or data manipulation.


• Strong technical aptitude with proficiency in Microsoft office suite.


• Experience with data visualization tools like Tableau, Power BI or similar.


• Ability to synthesize, interpret, and translate complex data into meaningful, yet easy to understand business insight.


• Results-oriented and capable of working independently while managing multiple priorities.


• Ability to operate with a sense of urgency and meet critical deadlines.


• Excellent organization, decision-making, and analytical skills.


• Excellent verbal, written and interpersonal communication skills.


• Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.


• Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.


• Where applicable, fluency in English and languages relevant to the working market.

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.

Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employs Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.

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.