Analytics/Databricks Engineer Sr

• Remote: Yes
• Area of Interest: Business Professionals
• FTE/Hours per pay period: 1.0
• Department: Supply Chain Analytics
• Shift: Monday-Friday, Days
• Job ID: 181247

Overview

Location: Remote/work from home with strong preference for candidates residing within the UPH geographies of Iowa, Illinois, & Wisconsin

This position does not offer Visa sponsorship. Candidates must have permanent work authorization in the United States.

UnityPoint Health is transforming into a highly reliable, datainformed organization - and our Analytics team is at the center of that mission. We partner across clinical, operational, and financial areas to drive meaningful, measurable improvement through data and analytics.

We're seeking a Senior Analytics/Databricks Engineer to lead the development of datadriven products that power decisionmaking across the system. In this senior role, you'll guide the full analytics lifecycle while collaborating with IT ETL teams, analytics business partners, and endusers to deliver impactful solutions.

Why UnityPoint Health?

At UnityPoint Health, you matter.We'reproud to be recognized as a Top 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 focused on your needs and priorities, no matterwhat lifestageyou'rein.Here are just a few:

• Expect paid time off, parental leave, 401Kmatchingandan employeerecognition program.
• Dental, healthand visioninsurance, paid holidays, short and long-term disability and more. We even offer pet insurance for your four-legged family members.
• Early accessto earned wages with Daily Pay, tuition reimbursement to help further your career and adoptionassistanceto 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,webelieveequipping you with support and development opportunities is a vital part of deliveringanexceptionalemployment experience.

Join our team of experts and make a difference with UnityPoint Health.

Responsibilities

• Lead the design, development, and maintenance of complex data models, analytics products, and productionquality code

• Transform and prepare data from multiple sources to ensure it is accurate, contextualized, and ready for analysis

• Scope analytics work, manage development lifecycles, and provide clear, routine status updates

• Independently lead projects and crossfunctional teams, ensuring strong performance, timely issue resolution, and effective resource use

• Mentor analytics team members, deliver training, and support the growth of data literacy across the organization

• Build dashboards, reports, and visualizations that communicate insights clearly and support datainformed decisionmaking

• Support deployment of analytics solutions through documentation, user training, and leadership in implementation and enhancement processes

• Partner with stakeholders to understand business needs, translate them into analytics solutions, and advance strategic, datadriven outcomes

Qualifications

Education:

• Required:

• Bachelor's Degree in Engineering, Operations Research, Business, Business Analytics, Healthcare Administration, Mathematics, Statistics, Data Science, Actuarial Science or related field

• Equivalent experience of at least 7 years working in an analytics or healthcare operations setting that includes demonstrated results driving improvements using data and analytics methodologies and techniques may be substituted for education requirement

• Preferred:

• Master's of Science in Engineering, Operations Research, Business, Business Analytics, Healthcare Administration, Mathematics, Statistics, Data Science, Actuarial Science or other related field

• PhD in Engineering, Operations Research, Business, Business Analytics, Healthcare Administration, Mathematics, Statistics, Data Science, Actuarial Science or other related field

Experience:

• Relevant work experience is required
• Databricks experience is preferred