Analytics Engineer (Full-Time)(Hybrid)

OrthoNebraska creates the inspired healthcare experience all people deserve by giving people a direct path to personalized care and life-enhancing outcomes. With a focus on safety and people, we set the bar high in providing high-quality care with an unmatched experience. Our team members are critical to our success and growth and are rewarded for their dedication and hard work. IF this sounds like the type of team and environment you want to be a part of apply today!

Position Summary: The Analytics Engineer leverages analytics development and data engineering to make a meaningful impact in healthcare.

Position details

Status

Full-Time

Shift

Days

FTE / Hours

1.0 / 40

Schedule

Mon - Fri: Five 8-Hour Shifts

Position Requirements

Education: Bachelor's degree in Analytics, Computer Science, Mathematics, Statistics, or a related field required. Master's degree preferred.

Licensure: N/A

Certification: N/A

Experience: 5 years of experience in data analytics or data engineering roles preferred. Exposure to financial and operational data, medical records, and information management systems preferred.

Knowledge/Skills/Abilities

• Strong analytical skills, with experience in data manipulation, performance measurement.


• Excellent communication, presentation, and interpersonal skills, with the ability to engage and inform multidisciplinary teams.


• Proven time management skills, with the ability to manage multiple priorities and meet deadlines.


• Excellent problem-solving and critical-thinking abilities, with a keen attention to detail.


• Proficient with data visualization tools such as PowerBI, Looker, or Tableau.


• Advanced SQL proficiency including dimensional modeling, complex queries, and BI optimization is required.


• Proficiency in programming languages such as Python, or R is preferred.


• Experience with cloud computing platforms like AWS, Azure, or Google Cloud preferred.


• Knowledge of data modeling, data warehousing, and data integration techniques preferred.


• Strong understanding of healthcare data standards, privacy regulations (e.g., HIPAA), and security best practices preferred.

Essential Job Functions

• Data Modeling & SQL Development
  
  
  
  • Design and implement dimensional data models (star/snowflake schemas) optimized for analytics and BI consumption.
  
  
  • Write advanced SQL queries for complex business logic, aggregations, and calculations.
  
  
  • Develop and optimize SQL queries that feed BI platforms, ensuring performance at scale.
  
  
  • Validate data accuracy and integrity between source systems and analytics outputs.
  
  
  • Document data models, business rules, and technical specifications for stakeholder understanding.
  
  
  • Collaborate with Data Analysts to translate business requirements into technical data models.
  
  
  
  


• Business Intelligence Development
  
  
  
  • Design, develop, and maintain sophisticated BI dashboards for executive and operational audiences.
  
  
  • Build semantic models with advanced measures, calculated columns, and time intelligence functions.
  
  
  • Create data workflows to standardize and reuse data transformation logic across reports.
  
  
  • Support migration of existing Excel-based reports into interactive BI dashboards.
  
  
  • Monitor and enhance existing BI solutions for usability, performance, and alignment with evolving business needs.
  
  
  
  


• Collaboration
  
  
  
  • Collaborate with cross-functional teams, including leadership, clinicians, and data professionals, to design and implement data-driven solutions.
  
  
  
  


• Communicate findings and recommendations to stakeholders to drive informed decision-making.


• Build and maintain strong working relationships with stakeholders to address evolving healthcare information needs.


• Work closely with IT and data governance teams to establish and enforce data quality standards and best practices.


• Promote data literacy and a self-service approach to data, enabling stakeholders to access information they need.


• Contribute to multiple projects supporting organizational objectives using project management and process improvement skills.


• Provide data support and feedback for various initiatives, including ongoing metrics and dashboards, performance improvement efforts, and business case analysis.


• Professional growth and development


• Stay current with advancements in healthcare industry & technology, data analytics, data engineering, cloud technology and regulatory requirements


• Seek opportunities for continuous skill and competency development.


• Explore innovative analytical and machine learning tools with the goal of improving existing processes.


• Support the planning, implementation, and monitoring of processes and systems to optimize data workflows.


• Identify ways to improve services provided to the organization (e.g., technology enhancements, improved information delivery, integration of disparate data sources, automation).


• Take advantage of opportunities to attend classes, workshops, seminars, and conferences to expand knowledge and skills in healthcare analytics.


• Contribute to Data & Analytics leadership by fostering growth and development of the analytics platform.


• Other duties as assigned

Physical requirements: This position is classified as Light Work in the Dictionary of Occupational Titles, requiring the exertion of up to 20 pounds of force frequently, and/or a negligible amount of force constantly (66% of the time) to move objects. Physical Demand requirements are more than those for Sedentary Work.

Must be able to pass background check. We also conduct pre-employment physical and drug testing. Any job offer will be contingent upon successful completion of a pre-employment physical with a drug screen, background check and obtaining active licensures per job requirements.