Data Quality & Metadata Analyst - $50 CTC - HYBRID (WI Resident/MUST Relocate to WI)

Job Description:

***Crop to Crop resumes are accepted

Location Requirement: POSTING IS FOR WISCONSIN BASED CANDIDATES ONLY (OR THOSE WILLING TO RELOCATE TO WISCONSIN WITHIN 30 DAYS OF THE START DATE).  ALL WORK MUST BE DONE IN WISCONSIN

WI residency required. Must be WI resident or willing to relocate within 30 days of start date at own expense.   90-100% remote but can require staff to come onsite as necessary with sufficient notice. Onsite work is not likely, but candidate should be prepared to come onsite if required. 

This position will be responsible for the assessment of data quality and metadata within DCF data architecture. They will be responsible for the data profiling, analysis and documentation of data quality.

 The individual in this position will:

·       Audit existing databases to assess data characteristics such as completeness, accuracy, outliers, and duplicates.

·       Investigate and define automated validation rules to guarantee data accuracy and catch errors at the point of entry.

·       Develop data cleansing and remediation recommendations for data irregularities.

·       Establish key performance indicators (KPIs) to measure data health, and build reporting dashboards to track quality metrics and trends.

·       Investigate the origins of recurring data errors (e.g., system bugs, user errors, integration issues) and recommend targeted, systemic solutions.

·       Document and define key metadata around database architecture.

·       Make recommendations on data maintenance and data quality.

·       Collaborate with Data Modelers and Data Architects on recommendations for key data management and data quality efforts.

Experience with Human Services business intelligence is desirable. latitude for independent judgment. Typically requires four to five years experience or equivalent education.

Required Skills:

·       Experience in metadata discovery and documentation

·       Experience in data profiling

·       Experience in data quality assessment and identification

·       Advanced experience in SQL and Python