Sr. Informatics Analyst

Description

Verda Healthcare, Inc. is a Medicare Advantage Prescription Drug Plan (MAPD) organization committed to the idea that healthcare should be easily and equitably accessible to all currently available in Texas and Arizona. Our mission is to ensure that underserved communities have access to health and wellness services and receive the support they need to live healthy lives, free of worry and full of joy. We are looking for an Sr. Informatics Analyst to join our growing company with many internal opportunities.

Are you ready to join a company that is changing the face of health care across the nation? Verda Healthcare health plan is looking for people like you who value excellence, integrity, caring and innovation. As an employee, you’ll join a team dedicated to improving the lives of our Medicare members. Our vision incorporates value-based health care that works. We value diversity.
 

Align your career goals with Verda Healthcare and we will support you all the way.

Position Overview
The Sr. Informatics Analyst leads the practice of managing and organizing Verda’s healthcare data using common industry standard technologies and solutions. They will represent the Informatics team while working closely with Operations, Clinical, and IT leadership to analyze and interpret this data, playing a crucial role in researching and identifying trends and patterns that can inform Verda decision making and operations. They will lead the effort to develop a documented in-depth understanding of the underlying data and proper business uses to translate end-user data and information requirements into a format to aid various Verda teams in drawing insight from that data. This includes creating queries, visualizations, algorithms, and reports.

This role is responsible for leading the collection and integration of data from disparate sources, analyzing data to uncover trends and patterns, presenting information and suggesting improvements based on data analysis, understanding healthcare operations and systems, creating data models that capture a wide range of healthcare operations, and recommending ways to increase healthcare quality and reduce costs.

This role reports to the Chief Information Officer (CIO) and will work closely with other executive leadership including Chief Medical Officer (CMO), Chief Operations Officer (COO), and other executive leadership.

Job Description

• Lead the implementation of clinical decision support tools and analytics that assist Verda leadership in making evidence-based decisions, producing clinical guidelines, and evolving best practices.
• Implement analytical trending reports to uncover patterns and communicate that information to suggest improvements.
• Design and build data models that support analytical and decision support efforts by collecting and integrating data from disparate internal and external sources.
• Based upon data analysis, recommend ways to increase healthcare quality or reduce health plan costs. 
• Provide oversight and quality assurance of Informatics team deliverables as necessary.
• Mentor, train, and advise Informatics team resources on Informatics systems, databases, and practices as necessary.
• Special Projects as assigned.
• Ability to travel.

Professional Competencies

• Proficient in Microsoft Suite (Excel, PowerPoint, Project, Outlook, Word, Visio, etc.).
• Extensive experience in T-SQL use for queries, stored procedures and functions.
• Experience with relational databases and common commercial analytics tools, including building data marts, data cubes, and other data visualization techniques.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Ability to manage and prioritize multiple tasks, promote teamwork and fact-based decision making.
• Critical listening, problem solving, and communication skills.
• Ability to work independently and within a team environment.
• Ability to work in a fast-paced, start-up culture with resiliency in a changing environment.

Verda cares deeply about the future, growth, and well-being of its employees. Join our team today!

Job Type: Full-time employment
Location: Huntington Beach, CA

Compensation Range: $85,000-100,000

Actual compensation offered will be determined based on experience, qualifications, skills, internal equity (if available), and geographic location. This position may also be eligible for performance-based incentive compensation and benefits.

Benefits:

• 401(k)
• Paid time off (vacation, holiday, sick leave)
• Health insurance 
• Dental Insurance
• Vision insurance 
• Life insurance

Schedule:

• Full-time onsite (100% in-office)
• Hours of operations: 9am – 6pm
• Standard business hours Monday to Friday/weekends as needed
• Occasional travel may be required for meetings and training sessions.

Ability to commute/relocate:

• Reliably commute or planning to relocate before starting work (Required)

Physical Demands:

Regularly sit/walk at a workstation in an office or cubicle setting. Must occasionally lift and/or move up to 25-50 pounds.

*Other duties may be assigned in support of departmental goals.

Requirements

• Bachelor's degree preferred in Healthcare Informatics, Computer Science, Statistics, Mathematics, or a related field.
• 3+ years’ experience with T-SQL and SAS, relational databases, and/or common data analytics tools (i.e. – PowerBI, SSRS, Crystal Reorts, etc).
• Experience with health plan contracting or risk and capitation payment models, including Commissions and Capitation data, is preferred.
• Knowledge of CMS1500 and UB-04 claim forms and claim vs. encounter data processing in managed care environments is preferred.
• Knowledge of medical terminology, including ICD-10, CPT, DRG, NDC, HCPCS, Modifiers, Revenue Codes.
• Knowledge of data contained within the HIPAA transactions including 270/271, 834, 835, 837.
• Experience with data quality, governance, and/or audit for HEDIS, STAR, RAF is preferred.
• Experience with health plan benefit interpretation is preferred.