Why We Work at Dun & BradstreetDun & Bradstreet combines global data and local expertise to help clients make smarter decisions. With 6,000+ people in 31 countries, we are a team of diverse thinkers and problem solvers who all share a common curiosity: to find new ways to turn data into value. If you share this curiosity and want to be part of a future-ready company, come join us! Learn more at .About the roleAs a data analyst, within D&Bs World Wide Network (WWN) Data team you will play a vital role in supporting our data-driven decision-making processes.Your role will manage the relationship with allocated WWN Partners to drive agreed Data Quality outcomes and improvements.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.
Key responsibilities:
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.
Essential key requirements:
Own and develop relationship with allocated D&B WWN Data Teams to ensure they meet Data Quality Standards & Data Strategy Outcomes Bachelor’s degree in data science, Information Systems, Computer Science, Mathematics, Statistics, Economics or a related field. Master’s Degree is a plus. 5+ 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.
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