[Hiring] Senior Analytics/Databricks Engineer @UnityPoint Health

Role Description

UnityPoint Health is transforming into a highly reliable, data‑informed 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 data‑driven products that power decision‑making across the system. In this senior role, you’ll guide the full analytics lifecycle while collaborating with IT ETL teams, analytics business partners, and end‑users to deliver impactful solutions.

Responsibilities

• Lead the design, development, and maintenance of complex data models, analytics products, and production‑quality 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 cross‑functional 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 data‑informed decision‑making.
• 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, data‑driven 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.
• Relevant work experience is required.

Benefits

• Expect paid time off, parental leave, 401K matching and an employee recognition program.
• Dental, health and vision insurance, paid holidays, short and long-term disability and more.
• Early access to earned wages with Daily Pay, tuition reimbursement to help further your career and adoption assistance to help you grow your family.
• Commitment to champion a culture of belonging where everyone feels valued and respected.
• Support and development opportunities to deliver an exceptional employment experience.