Remote Senior Data Engineering Lead | Health Analytics

bannerhealth; Arizona; On-site; USD 51,000 - 85,000; Full time

Job summary

Banner Health is seeking a data engineering lead within the Enterprise Population Health Management Analytics team. You will partner with business and IT to gather requirements, evaluate and implement solutions, and ensure timely deliverables across stakeholders.

This role is remote and allowed in many states; typical business hours apply. Responsibilities include leading projects, improving analytics, and collaborating across departments to optimize data-driven decisions.

Qualifications

• Bachelor’s degree in Statistics, Epidemiology, Computer Sciences, Process Engineering, Business, Healthcare, Information systems or related field.
• 4–7 years of experience in reporting/analytics or equivalent.
• Strong project management skills and ability to work independently.
• Strong technical skills including SQL/ANSI SQL, SAS, Tableau, Excel, and clinical software apps.

Responsibilities

• Relentless focus on delivering outcomes and value to our business.
• Lead cross-functional teams and/or projects to implement system changes.
• Define and track KPIs across work efforts and ensure measurement.
• Develop relationships with internal partners for design, data transfer, and analytics.
• Communicate effectively with stakeholders to meet needs.
• Establish success criteria and measurement frameworks.
• Design and administer standards/policies for documentation.
• Lead cross-functional teams and manage projects with conflicting priorities.

Skills

SQL/ANSI SQL

SAS

Tableau

Excel

Education

Bachelor’s degree in Statistics, Epidemiology, Computer Sciences, Process Engineering, Business, Healthcare, Information systems or related field

Tools

Cerner

NextGen

Centricity

TSI

Quality Advisor

SSRS

Job description

Banner Health is seeking a data engineering lead within the Enterprise Population Health Management Analytics team. You will partner with business and IT to gather requirements, evaluate and implement solutions, and ensure timely deliverables across stakeholders.

This role is remote and allowed in many states; typical business hours apply. Responsibilities include leading projects, improving analytics, and collaborating across departments to optimize data-driven decisions.