Associate Data Advisor (R-19712)

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