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Salary
$152k – $298k per year (Estimated)
Location
Remote/Hybrid (Florham Park, United States)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Dun & Bradstreet is a global provider of business decisioning data and analytics headquartered in Jacksonville, Florida, and founded in 1841. The company offers a wide range of solutions including business credit reports, risk management tools, supply chain visibility, and sales and marketing data anchored by its proprietary D-U-N-S Numbering system. It operates globally, maintaining a commercial database of hundreds of millions of business records to serve clients in the public sector, finance, and enterprise markets.

Essential Responsibilities:

  • Coach, mentor and lead 5-7 Analytics Advisory team to drive meaningful customer value and sustained YOY sales growth selling Dun & Bradstreet’s Analytic solutions to customers and prospects.
  • Work closely with the team to drive new analytic and AI business through demand creation, opportunity qualification, solution identification and value enablement.
  • Actively identify, prospect and develop new business opportunities within a relatively small number of existing and new accounts (heavy up-sell / cross-sell responsibilities).
  • Conduct business based conversations to identify stakeholders, business process, KPI”s and critical success factors around an opportunity.
  • Establish strong relationships with C-level and senior executives of clients and prospects within all functional areas of the business with the objective of driving greater value and business impact of our analytic and AI solutions.
  • Achieve aggressive sales targets within the fast growing analytics marketplace.
  • Leverage use cases, best practices, and application knowledge to develop thorough ROI analyses for client.
  • Participate in Account Planning, Business Reviews & Quarterly Solution Reviews as required.
  • Serve as a customer advocate to influence innovation roadmap and customer support initiatives.
  • Evangelize Dun & Bradstreet’s analytic and AI solutions to customers, internal partners, and the marketplace.
  • Participate in industry and company sponsored events and panels to further demonstrate thought leadership of D&B within this space.

Prior Work Experience:

  • Demonstrated deep expertise and knowledge in the business application of analytics across various disciplines (risk, marketing, supply, etc).

  • Strong analytic skills - model usage and validation, data analysis and strategy design.

  • Experience with R, SPSS, PL/SQL, Hadoop, Python, Visualization tools preferred.

  • Experience with Databricks, Google Vertex or Claude code preferred.

  • 7+ years of successful sales in a consultative/solution oriented team based selling environment with demonstrated. customer facing experience, preferably in a selling analytic solutions to solve business.

  • 7+ years of Proven success with driving new and existing large dollar engagements in highly complex environment.

  • Ability to identify new opportunities with existing customers (many of whom already buy multiple D&B solutions).

  • Ability to manage and report on opportunities throughout the various stages with in the sales pipeline.

Qualitative Skills:

    Results oriented, self-starter who is able to effectively influence across multiple role levels, drive priorities and own outcomes in a matrixed environment.

    Ability to problem solve and clearly communicate alternative solutions that map to our core analytics assets and solve the customers’ business needs.

    Proven track-record of success in a team selling environment.

    Demonstrated ability to gain deep understanding of customers goals and objectives and in turn develop and carry vision through the organization.

    Ability to provide clear, precise and effective communication in written and verbal format to both internal and external audiences.

    Strong communication, interpersonal, planning and problem-solving skills.

Education Requirements:

    Bachelor’s degree in a related field (e.g., Data, Analytics, Computer Science, Information Systems, Business, or equivalent experience).

    Min. 5-8 Yrs of experience in Data Management

Location and Travel:

  • 25% Travel.

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