Full job description Love + medicine is who we are, it's what we do, it's why people want to work here. If you're looking for a job to love, apply today. Schedule Weekly Hours:
32 Make a Difference with Data: Patient Experience Analyst Do you have a passion for healthcare and a knack for turning numbers into insights? Are you driven to improve patient experiences? If so, we want to hear from you! We are seeking a talented Data Analyst to join our Patient Experience team! In this role, you will play a critical role in using data to drive positive change. What's Available: part time, 32 hours/ week (0.8 FTE)
Schedule: 4 days, 8 hour shift
Located at our Main Campus in La Crosse, WI
What You Will Need: Bachelor's degree in Mathematics, Computer Science, Statistics, Business Analytics or Related Field
3-4 years of experience in data mining, analysis, visualization, presentation, and using business intelligence tools.
Experience with Power BI Development and custom report report/ dashboard creation.
Familiarity with Epic tools may be helpful but not required
Strong communication skills and ability to partner with clinical and administrative teams to translate data insights into actionable engagement efforts
Immigration sponsorship (e.g., H-1B) is not available for this position.
In addition to this meaningful and important work, we offer a competitive benefits package: Benefits: In addition to medical and dental, we have pet insurance and a substantial contribution to retirement
Work/life balance: 24/7 Employee Assistance Program for employees and their families, generous PTO and paid holidays
Health/Wellness: GunderZen Relaxation Room including massage chairs, corporate gym and yoga, local gym discounts
Professional Development: Tuition Invest Program totaling up to $3k per year, access to a catalogue of hundreds of internal courses, corporate incubator, Career Development Center
DEI: 12 months of Celebration to include monthly educational events, DEI Committee
Other: 18% discount on data plan through Verizon, 20% discount at Gundersen locations for services not covered by insurance
Job Description: Highly skilled in all aspects of data analysis, including descriptive, predictive, diagnostic, and prescriptive analytics, the Data Analyst combines theory and practice to identify, visualize, and communicate data-driven insights to support informed business decisions. Develops and implements processes to acquire data from primary and secondary data sources and maintain databases.
Major Responsibilities: 1. Analyzes data using statistical software and strong skills in research methodology. Uses appropriate analysis methods (descriptive and inferential statistical analysis) and communicates the results of the analysis in narratives, tables, and graphs, and provides recommendations based on findings to key stakeholders.
2. Create reports and maintain rich visualizations through data interpretation, data mining, analysis, and integrating various reporting components from multiple data sources.
3. Develop, implement, and maintain analytic systems and data collections systems, taking complicated problems and building simple frameworks.
4. Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data.
5. Performs independent analysis (descriptive and inferential) and converts data into useable information. Identifies the data necessary to establish the baseline and measure change.
6. Presents and communicates in a manner that builds constructive and effective relationships.
7. Acquire data from primary or secondary data sources and maintain databases/data systems.
8. Performs other job-related responsibilities as requested.
Education and Learning: REQUIRED Bachelor's degree in Mathematics, Computer Science, Statistics, Business Analytics or Related Field
DESIRED Master's degree in Mathematics, Computer Science, Economics, Statistics, Business Analytics or Related Field
Work Experience: REQUIRED 3-4 years of experience in data mining, analysis, visualization, presentation, and using business intelligence tools.
DESIRED 5-7 years of experience in data mining, analysis, visualization, presentation, and using business intelligence tools.
Age Specific Population Served: Nonage Specific (N/A)
OSHA Category: Category III - No employees in this job title have a reasonably anticipated risk of occupational exposure to blood and/or other potentially infectious materials.
Environmental Conditions: Not substantially exposed to adverse environmental conditions (as in typical office or administrative work).
Physical Requirements/Demands of the Position: Sitting: Continually
Static Standing: Occasionally
Walking/Standing: Occasionally
Driving: Rarely
Repetitive Actions – Fine Manipulation (This would include keyboarding): Continually
I f you need assistance with any portion of the application or have questions about the position, please contact or call
Equal Opportunity Employer
