Analytics Engineering Solutions Architect UnityPoint Health - 3.5 West Des Moines, IA Job Details Full-time 20 hours ago Benefits Paid holidays Disability insurance Health insurance Dental insurance Tuition reimbursement Paid time off Adoption assistance Parental leave 401(k) matching Pet insurance Qualifications Scikit-learn Data model design Statistics Version control Commercial use (data warehousing systems) Data compliance Data Integration (Data management) Azure Statistics Computer Science Requirements design Data modeling projects RESTful API Bachelor's degree in statistics SAS Team leadership NumPy Regulatory compliance R Business intelligence report generation Performance Reporting Git Enterprise solutions implementation Public Cloud Metrics Reporting SAS language Data governance Master's degree

SQL Pandas Full Job Description Overview:

Responsible for designing and implementing advanced analytics solutions that drive data-driven decision-making across the organization. This position collaborates with cross-functional teams, including data engineers, data scientists, analytics engineers and business stakeholders, to understand requirements and translate them into robust analytical frameworks including self-service solutions in Epic, Health Catalyst and Azure Services. Remote/work from home with strong preference for candidates residing within the UPH geographies of Iowa, Illinois, & Wisconsin. Why UnityPoint Health?: At UnityPoint Health, you matter. We're proud to be recognized as a Top 150 Place to Work in Healthcare by Becker's Healthcare several years in a row for our commitment to our team members. Our competitive Total Rewards program offers benefits options that align with your needs and priorities, no matter what life stage you're in.

Here are just a few:

Expect paid time off, parental leave, 401K matching and an employee recognition program. Dental and health insurance, paid holidays, short and long-term disability and more. We even offer pet insurance for your four-legged family members. Early access to earned wages with Daily Pay, tuition reimbursement to help further your career and adoption assistance to help you grow your family. With a collective goal to champion a culture of belonging where everyone feels valued and respected, we honor the ways people are unique and embrace what brings us together. And, we believe equipping you with support and development opportunities is a vital part of delivering an exceptional employment experience. Find a fulfilling career and make a difference with UnityPoint Health.

Responsibilities:

Design and maintain enterprise analytics assets, including curated data models, semantic layers, business metric definitions, and reusable reporting components that support self-service analytics. Provide technical leadership and architectural oversight for enterprise analytics initiatives, ensuring alignment with organizational strategy, data governance standards, and platform roadmaps. Partner with data governance, compliance, and security teams to ensure analytics solutions meet organizational standards for data quality, privacy, auditability, and regulatory requirements. Experience supporting healthcare analytics, including clinical, operational, financial, and quality reporting initiatives preferred. Evaluate incoming analytics requests and recommend appropriate solutions, including Epic-native tools, enterprise reporting platforms, self-service capabilities, or custom development approaches. Lead efforts to promote self-service analytics by identifying opportunities to leverage Epic-native tools, reduce redundant reporting solutions, and improve data accessibility for business users. Facilitate discussions among executive, operational, clinical, and technical stakeholders to align on analytics priorities, solution approaches, and implementation strategies.

Qualifications:

Education:

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field required. Master's degree in a relevant field preferred.

Experience:

Five (5) years of experience with SQL required. Three (3) years of experience with Data Warehousing Python, R required. Two (2) years of experience with data integration platforms and Cloud platforms (AWS, Azure, Google Cloud) required. One (1) year experience with Cloud Storage (AWS S3, Azure Blob), Version Control (Git) and Agile Methodologies required. Two (2) years of experience with Analytical tools and libraries (Pandas, NumPy, Scikit-Learn) and Statistical Analysis (SAS, SPSS) preferred. One (1) year experience with

API's and Integration:

RESTful APIs and API Tools (Postman, Apigee) preferred.