Data Analyst (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 Data Analyst, is resourceful, excels at creative problem-solving, and enjoys learning new tools and technologies.

Position details

Position Requirements

Education: Bachelor's degree in Business Analytics, Statistics, Mathematics, or a related field preferred OR combined education and work experience. Master's degree preferred.

Licensure: N/A

Certification: N/A

Experience: 2+ years of experience in Analytics role, preferred. Previous experience as an analyst preferred. Exposure to financial and operational data, medical records, and information management systems preferred.

Required Knowledge/Skills/Abilities

• Strong analytical skills, with experience in data analysis, 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.
• Experience with data visualization tools such as PowerBI, Looker, or Tableau.
• Familiarity with data platforms like such as Snowflake or Databricks is highly desirable.
• Proficiency in programming languages such as Python, SQL, or R is preferred.
• Strong understanding of healthcare data standards, privacy regulations (e.g., HIPAA), and security best practices preferred.

Essential Job Functions

• Data Capture and Provisioning
  • Collect, validate, and maintain data from multiple sources.
  • Serve as a data strategist to identify and integrate new datasets that can be leveraged through our framework.
  • Demonstrate the ability to effectively understand and query large databases.
  • Ensure the accuracy and integrity of data for organizational decision-making.
  • Design and implement both one-time and continuous data analysis processes.
  • Relate captured data to organizational processes and workflows.
  • Optimize data collections processes and drive improvements in data governance and quality control.
  • Actively monitor and contain cloud resource utilization and expense through code efficiencies and deploying optimal solutions.
• Data Analysis, Business Intelligence (BI), and Visualization
• Evaluate and analyze data for trends, variances, and opportunities with clear objectives in mind to support key initiatives and decision-making.
• Create meaningful reports, dashboards, and scorecards tracking key quality performance indicators (KPIs).
• Use data visualization, analysis and automation tools to uncover technical findings and translate them into actionable insights for key stakeholders.
• Exercise creativity and initiative in solving complex problems.
• Provide education on and drive adoption of self-service analytics tools and data strategies.
• 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.
• Contribute to the design of enterprise dashboards which display company metrics with interactive, multi-dimensional visualization enabling stakeholder decision-making.
• Promote data literacy and a self-service approach to data, enabling stakeholders to access information they need.
• Participate in 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, cloud technology and regulatory requirements
• Seek opportunities for continuous skill and competency development.
• Explore innovative analytical 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).
• Take advantage of opportunities to attend classes, workshops, seminars, and conferences to expand knowledge and skills in healthcare analytics.
• Other duties as assigned.

Physical requirements: This position is classified as Sedentary Work in the Dictionary of Occupational Titles, requiring the exertion of up to 10 pounds of force occasionally) up to (33% of the time) and/or a negligible amount of force frequently (33%-66% of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.