Entity Resolution Associate (R-19562)

Vienna - Virginia - United StatesEmployee: Full Timemid

OtherAssociate

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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,

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OtherAssociate

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 Entity Resolution Associate is a subject matter expert supporting the US General Services Administration (GSA) Entity Validation Services (EVS) program, responsible for improving the accuracy, coverage, and performance of entity resolution across the EVS solution. This role evaluates entity matching against GSA requirements, identifies gaps in match logic and data coverage, and provides actionable insights to technical teams for implementation.

The Entity Resolution Associate is directly accountable for SLA performance, including match accuracy and exception rates, ensuring entity resolution meets defined thresholds during transition and production. It leads structured validation and testing, analyzes low-confidence or unresolved matches, and drives improvements in precision, recall, and consistency.

In addition, the role contributes to strengthening enterprise-wide entity resolution capabilities by applying learnings to Unique Entity Identifier (UEI) and Exclusions use cases, improving System for Award Management SAM.gov data matching.

Deliver reports to Program Manager in required format and frequency.

Ensure successful transition and achievement of entity resolution SLAs, including ≥85% data accuracy.

Works with EVS Tier 2 Help Desk Technical Lead to design processes to reduce help desk ticket volume for realized cost savings.

Works cross-functionally with D&B Program Manager, AI technologists, Data Scientists, Operations, and Technical Lead to provide insight on any other areas for improvement or efficiencies in entity resolution as defined by the leads for realized cost savings.

Work with Data Product Managers and Data Science leaders to provide summary of entity resolution improvements from client’s entity validation solution that can be utilized within D&B's entity resolution processes to improve the entity resolution of SAM.gov data that D&B ingests (Awards, Exclusions, UEI Registered & Unregistered).

Provides entity resolution specific progress update to Data Science, Technology, and Program Management leads for realized efficiency for entity validation across other federal agencies.

Ensure compliance with client policies, contractual obligations, and regulatory requirements.

Strong SQL and data analysis capabilities

Experience with AWS, GCP, or Snowflake cloud platforms

Knowledge of exploratory data analysis, statistics, and data visualization

Experience working with large, multi-source datasets

Ability to communicate technical requirements clearly to engineering teams

Understanding of entity resolution concepts including matching logic, precision, and recall

Experience with SAM.gov / GSA data is preferred

Experience in client-driven statistical/analytical engagements is preferred

Proficiency in Microsoft Office Suite 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.

Bachelor’s degree in Information Systems, Data Science or a related field.

2 – 5 years of relevant experience, including 3+ years in entity/identity resolution analysis.

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 https://jobs.lever.co/dnb. 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 here. We participate in E-Verify - The current poster can be found here.

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 AcquisitionT@dnb.com to let us know the nature of your accommodation request and your contact information.