Data Quality Analyst
- Job Ref:
- R0065283
- Category:
- Administration
- Employment Type:
- Full Time
- Location:
- 111 Colchester Ave, Burlington, VT
- Department:
- UVMHN Data Management Office
- Job Type:
- Regular
- Primary Shift:
- Day
- Hours:
- -
- Hours per Week:
- 40
- Weekend Needs:
- None
- Pay Rate:
- $31.43 - $47.14 per hour
Job Details
The Data Quality Analyst (DQ Analyst) works within the Data Management Office (DMO), supporting the Director of Data Quality Management on initiatives to proactively monitor, measure, analyze, execute, track and report on data quality issues. Activities will include conducting data quality assessments, data profiling, impact analysis; establishing data quality benchmarks; and providing progress reports and recommendations. Areas of focus will also include: establishing a report validation/certification process, playing a key role in implementing and maintaining data classification efforts, guiding and monitoring metadata management best practices, supporting efforts to establish an enterprise business glossary.
EDUCATION:
- Bachelor’s degree in computer science, statistics, business administration, medical sciences or other relevant field is required.
- Epic Proficiency (or higher) is required or achieved within 120 days of hire with a maximum of three attempts.
- In lieu of a degree, a minimum of 4+ years of hands-on data analysis, experience in technology, IT.
EXPERIENCE:
- 3+ years in related field
- Experience with Epic (or another EHR) implementation/support preferred, but not required
- Experience in a healthcare setting highly desirable
- Able to complete task level work with no supervision
- Able to manage small to medium sized initiatives with supervision/support
KNOWLEDGE/SPECIAL SKILLS:
- Excellent technical proficiency, analytical ability and problem solving skills
- Should have some Project Management skills (tasking, scoping, managing) or similar
- Epic Cogito Proficiency or higher achieved
- Clear and concise communication skills, both oral and written
- Should have working knowledge of Microsoft SQL & data visualization platforms Power BI preferred
- Strong proficiency in spreadsheet software
- Ability to communicate complex concepts in simple terms with customers, staff and Leads
- Ability to work in cross-functional teams, with team building and organization skills