Associate Data Advisor
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 .
The Associate Data Advisor will be responsible for monitoring the results of D&B Match and clustering to come up with rules and best practices to increase match rates for D&B clients.
The Associate Data Advisor will drive continuous improvement and increase efficiencies and regularly review and document the best practices to share within the organization.
Key Responsibilities:
- Analyzing match results and recommending rules that would improve match by completing a data quality assessment. This includes preparing data of various files sizes to successfully run through the D&B Match or Connect process.
- Support Match Optimization services by assisting other Advisors in preparing files, analyzing results, recommending best practices and rules to help successfully complete both paid and unpaid Match Optimization services. Review client match results and clusters, especially low-confidence records, to find trends and potential improvement criteria that will help increase the overall match acceptance rate.
- 100% categorization of all prioritized unmatched records including data management/stewardship recommendations for unmatched records.
- Document trends, analysis, and recommendations.
- This role will be responsible for communicating the results and best practices to team members.
Experience Needed:
- Bachelor’s degree with two (2) years of work experience; or an advanced degree without experience; or equivalent work experience.
- Some experience in handling large datasets, knowledge of Excel, Alteryx, SQL, Sandbox, Python is a plus.
- Ability to work independently to drive customer outcomes and successfully collaborate and communicate results to team members.
Education:
- Bachelors Degree - Required
Benefits We Offer
·Generous paid time off in your first year, increasing with tenure.
·Up to 16 weeks 100% paid parental leave after one year of employment.
·Paid sick time to care for yourself or family members.
·Education assistance and extensive training resources.
·Do Good Program: Paid volunteer days & donation matching.
·Competitive 401k with company matching.
·Health & wellness benefits, including discounted Wellhub membership rates.
·Medical, dental & vision insurance for you, spouse/partner & dependents.
All Dun & Bradstreet job postings can be found at . Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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Equal Employment Opportunity (EEO) : Dun & Bradstreet provides equal employment opportunities to applicants and employees without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. Know Your Rights: Workplace Discrimination is Illegal - The current poster can be found . We participate in E-Verify - The current poster can be found .
Accommodations information for applicants with disabilities : Dun & Bradstreet is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with Dun & Bradstreet, please send an e-mail to to let us know the nature of your accommodation request and your contact information.
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
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