Quick overview
Job description
The Analytics Advisor III is a vital role in the sales process working in conjunction with the sales team to drive Analytic and AI revenue within existing customers and new logo prospects.
The Analytics Advisor III is focused primarily on the Discovery through Proof stages of the sales cycle, the Analytics Advisor will help build the “value story” to maximize customer success.
The Analytics Advisor III is responsible for gaining a deep understanding of the customers’ business challenges, determining where Dun & Bradstreet’s analytic solutions can provide value, proposing the best solution(s) to meet customer needs and creating a compelling business case to close on the Analytics and AI sales opportunity.
This role will be managing a book of $10M+ in Analytics/AI sales across Global/Tier 1 accounts.
Essential Key Responsibilities:
- Drive meaningful customer value and sustained YOY sales growth selling Dun & Bradstreet’s Analytic and AI solutions to customers and prospects.
- 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 D&B.AI solutions.
- Achieve aggressive sales targets within the fast growing analytics and AI marketplace.
- Leverage use cases, best practices, and application knowledge to develop thorough ROI analyses for clients.
- Participate in Account Planning, Business Reviews & Quarterly Solution Reviews as required.
- Serve as a customer advocate to influence innovation roadmap and customer support initiatives for assigned industry vertical.
- 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.
Experience Needed:
- 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 SQL, Hadoop, Python, Tableau, Power BI 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 role selling analytic solutions to solve business challenges.
- 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.
- 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.
- 25% - 30% travel
Travel
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