Offer summary

Qualifications:

Bachelor's or master's degree in Computer Science, Data Science, Healthcare Informatics, or a related field., Strong understanding of EHR systems like EPIC, Cerner, or Allscripts., Experience with healthcare data integration standards such as HL7, FHIR, or ETL/ELT pipelines., Knowledge of clinical workflows, medical terminology, and healthcare data management..

Key responsibilities:

Collaborate with stakeholders to gather and analyze business requirements for data projects.

Define data mapping and transformation protocols between source systems and analytics platforms.

Develop and maintain documentation, including data flow diagrams and use cases.

Generate reports on data integration performance and facilitate stakeholder engagement.

Founded in 2009, Loopback Analytics is a leading provider in serving health system and academic medical center specialty and ambulatory pharmacy programs through sophisticated data-driven solutions. Loopback leverages robust analytics to position their clients to effectively identify growth opportunities of high-value medications, improve patient outcomes, and demonstrate the value their pharmacy program provides to the integrated delivery network. The Loopback mission statement is, “enabling health system pharmacies to win”. Through advanced data insights and excellent client service, these wins come in the form of ensuring access to medications, efficiently monitoring patient data, increasing medication capture rates, improving total cost of care, and more. The Loopback platform has four major areas of focus: • Rx Capture-Enables health systems to maximize their opportunity for specialty medications • Rx Outcomes- Provides automated medication adherence, utilization and therapy-specific outcomes measure to demonstrate the value of the pharmacy services to patient care measures • Rx Interventions-Supports the management of a portfolio of intervention programs to increase capture rates and improve patient outcomes • Rx Reports- Facilitates the reporting of data for manufacturer access, URAC accreditation and benchmarking standardized metrics with other health systems in the Acentrus network Loopback Analytics’ core mission is championing health systems in their effort to optimize specialty pharmacy capabilities. “Our solutions for navigating the complex specialty pharmacy ecosystem are designed to increase patients’ access to life-saving medications while improving medication adherence, thus reducing adverse patient outcomes that increases total cost of care. It’s a solution that adds significant value to a patients’ overall experience.” -Neil Smiley, CEO at Loopback Analytics

This employer will not sponsor applicants for employment visa status (e.g., H1B) for this position. All applicants must be currently authorized to work in the United States on a fulltime basis.

About Loopback

Loopback is a leading provider of datadriven solutions for health systems and life science organizations. The company’s comprehensive analytics platform drives growth for specialty pharmacy programs while connecting pharmacy activities with clinical and economic outcomes. Loopback partners with Life Science leaders to tackle their most important challenges and capture their most exciting opportunities. Loopback’s clients include leading academic medical centers, health systems, and life sciences companies. Founded in 2009, Loopback was rated as one of the best places to work in Dallas by the DBJ. For more information about our company and services please visit our website at www.loopbackanalytics.com .

About the Job

Loopback Analytics is currently seeking a Technical Business Analyst. The successful candidate will work directly with the Data Integration and Implementation teams to establish data flow between Loopback Analytics and its clients. This role serves as a liaison between business stakeholders and the technical teams, with a focus on understanding business needs and translating them into actionable data integration solutions. This role requires a strong understanding of EHR data and workflow, business and process analysis skills, and healthcare data integration standards.

Job Duties to Include

Collaborate and Gather Insights: Partner with business stakeholders, project managers, and technical teams to collect, document, and analyze business requirements related to data integration projects.

Define Data Solutions: Work alongside data architects and engineers to establish data mapping and transformation protocols between EHRdispensing source systems and Loopback Analytics platforms.

Manage Data Assets: Develop and maintain a comprehensive Business Data Catalog to effectively manage and support Loopbacks data assets.

Analyze Healthcare Data: Review and interpret data from clients EHR and pharmacy dispensing systems to provide meaningful insights.

Ensure Compliance and Best Practices: Establish and document data specifications to align with industry standards and healthcare compliance regulations.

Create Detailed Documentation: Prepare business and functional requirements, use cases, workflows, and data flow diagrams to support the Implementation team.

Optimize Processes: Continuously review and assess data integration processes, proposing enhancements based on business needs and feedback.

Report and Track Performance: Generate and share detailed reports on data integration performance and process metrics, promoting transparency and continuous improvement.

Lead Stakeholder Engagements: Facilitate meetings and discussions to gather feedback, provide project updates, and address any challenges that arise.

Communicate Status Updates: Provide consistent project status updates to stakeholders, ensuring everyone is informed of progress and key developments.

Support Daily Operations: Assist with daily data mapping activities to maintain business continuity and deliver highquality service.

Requirements

Indepth knowledge of EHR systems (e.g. EPIC, Cerner, or Allscripts) and dispensing systems (e.g. EPIC WAM, ScriptPro, McKesson, ComputerRx)
Understanding of clinical workflows, medical terminology, and healthcare data
Understanding of data management principles, data integration, and data quality
Experience writing data specifications, preferably HL7, FHIR or ETLELT pipelines (processing and transforming raw data into usable formats)
Bachelors or masters degree in a relevant field (e.g. Computer Science, Data Science, Healthcare Informatics)