Since 1988, MedWatch has been a leader in providing concierge member advocacy and medical cost containment solutions for TPAs, employer groups, school systems, municipalities, hospital systems, Taft-Hartley plans, and fully insured payers as well as for the reinsurance industry and stop loss carriers.

MedWatch has maintained continuous URAC Accreditation for Health Utilization Management since 1997, Case Management since 2000, and Disease Management since 2007. These core services, along with all of our proven solutions, focus on appropriateness and quality of care, helping to achieve the best clinical and financial outcomes for plans and plan members.

MedWatch’s programs fit together seamlessly to support members along the entire continuum of their health journey. Pathways Concierge, our white-glove service, provides members with a single point of contact to address questions about their health plan. It’s the starting point and finish line for successful member engagement and effective utilization of benefits. In addition to Pathways Concierge and our URAC Accredited core services, MedWatch offers over 30 advocacy and cost containment solutions including dialysis claims repricing, diabetic monitoring and intervention, high-cost infusion/oncology treatment savings, in and out of network savings for high-cost claims, and more.

MedWatch is the Right Choice for providing the Right Care at the Right Time in the Right Place for the Right Cost. Learn how MedWatch’s proven solutions, innovative approach and clinical expertise make us the Right Partner for you: Visit urmedwatch.com.

The Data Analyst will be responsible for creating, monitoring, and troubleshooting data for the organization bridging data analytics and health care cost containment while driving positive changes in the industry

Duties And Responsibilities

• Ensure Quality and Accuracy of data.
• Research and evaluate opportunities to demonstrate value\ROI to clients.
• Turn data into information, information into insight and insight into business decisions.
• Interpreting data, analyzing results using statistical techniques.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Collaborate with organizational leaders to prioritize and develop strategies for business and information needs.
• Locate and define new process improvement opportunities.
• Find patterns and trends in data analysis. By examining data sets, uncover valuable insights that can lead to informed decision-making.
• Transforming complex data into meaningful insights.
• Participates in the Quality Management Program by adhering to all company policies and procedures and identifying opportunities for improvement to ensure quality services are rendered to clients and customers.
• The incumbent may be responsible for duties or responsibilities that are not listed in this job description. Duties and responsibilities may change at any time with or without notice.

Education

• A four-year college degree or equivalent industry training and certifications in one of the following Health informatics, Statistics, Mathematics, Economics, Computer Sciences or Data Science preferred.

Licensure/Certification Requirements

• N/A

Experience

• Three to five years of experience in a data analytics or related position
• Experience with Microsoft's enterprise technology platform, including SQL. Python and Power BI.
• Minimum of one year managing projects.

Requirements/Skills

• Demonstrated work experience deriving actionable insights from the data that an organization generates.
• Understanding of what data to collect and be able to carry out effective data analyses and building predictive models.
• Able to problem solve and have a desire to learn.
• Strong writing skills, as well as the ability to articulate analytical concepts to a broad range of technical and non-technical staff.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Adept at queries, report writing and presenting findings.
• Understanding of healthcare claims data including but not limited to ICD and CPT codes.
• Analytical thinking, problem solving and decision making.
• Flexibility to work on multiple projects and assignments simultaneously.
• Work and communicate knowledgably both independently and within a team environment.
• Able to work in a fast-paced environment and perform under tight timelines.
• Must be a fast learner with a commitment to personal growth.