Analyst II (R-19559)

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. Your primary responsibilities will include collecting, cleaning, and analyzing data from various sources. You will provide technical expertise while performing exploratory data analysis to identify patterns and trends and preparing reports that solve business use cases. Additionally, you will collaborate with different departments to understand their data needs and assist in maintaining and optimizing datasets for efficient data storage and retrieval.

Key Responsibilities:

• Utilize an analytical mindset to collect, organize, and deliver large datasets from multiple channels and sources.
• Provide technical/subject matter expertise in various analytical tasks, including design, development, validation, calibration, documentation, implementation, monitoring, and reporting.
• Investigate/adjudicate/conduct open-source research on businesses.
• Review and test data to ensure it meets high standards of quality, accuracy, and reliability.
• Identify and implement continuous improvements in data collection and delivery processes.
• Proactively analyze and troubleshoot data-related issues, assess their criticality, escalate for timely resolution, and solve problems with limited supervision.
• Collaborate with internal and external stakeholders on data compilation, analysis, and quality assurance.

Key Skills:

• Bachelor's degree in data science, Information technology, Computer Science, Mathematics, Statistics, Economics or a related field.
• 3+ years of experience in data analysis, visualization, statistics, and/or data manipulation.
• Strong technical aptitude with proficiency in Microsoft office suite, as well familiarity with SQL or other programming or scripting languages (e.g. Python).
• Experience with data transformation processes and exposure to both standard and complex data types.
• Passionate and curious about data, with the ability to query and analyze datasets to drive fact-based decisions.
• Results-oriented and capable of working independently while managing multiple priorities.
• Ability to interpret and translate data into meaningful business insight.
• Ability to operate with a sense of urgency and meet critical deadlines.
• Strong organization, decision-making, and analytical skills.
• Strong 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 Employ's 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.