dnb - Data Advisory Analyst (R-19398)
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Requirements
• Recent graduate or 1–2 years of experience in a similar field or role. • Familiarity with programmatic advertising, audience data, or related domains is an advantage. • Strong verbal and written communication skills; able to articulate insights clearly to internal and external stakeholders. • Ability to collaborate effectively with clients and partners to understand business objectives and present meaningful data-driven insights aligned to D&B’s solutions. • Strong analytical mindset with experience in data management; prior exposure to commercial data is a plus. • Proficiency in Microsoft Office Suite, particularly Excel and PowerPoint. • Demonstrates an ownership mindset — proactive, curious, solution-oriented, and collaborative. • Strong commitment to continuous learning and growth through coaching, collaboration, structured learning, and on-the-job experiences. • Fluency in English is required; additional language skills relevant to the market are preferred. • 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.
Responsibilities
• Develop expertise in D&B & partner data sets and advise on best practices to optimize campaign efficiency. • Respond to incoming data requests from programmatic buyers, providing timely, thoughtful recommendations that enhance data usage and client satisfaction. • Build audience data proposals for strategic accounts and collaborate with strategy teams to identify opportunities for growth across industry verticals. • Analyze usage data, conduct proactive outreach, and generate ideas to increase data adoption among strategic accounts. • Partner with data providers to create custom audience solutions and ensure successful integration into platforms. • Manage the RFP pipeline in SFDC and report on regional sales activities. • Collaborate with the Supply and Product teams to identify new opportunities based on market trends and demand. • Work cross-functionally with internal teams to establish best practices, streamline workflows, and develop innovative projects
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