Senior Healthcare Data Analyst

at  CareJourney

CareJourney’s mission is to empower individuals and organizations they trust with open, clinically-relevant analytics and insights in the pursuit of the optimal healthcare journey. We are a fast-growing start-up in Arlington, VA that builds software products which serve over 150 industry-leading healthcare organizations that include Walgreens, Merck, Privia, Clover, Oak Street, and more.
We are looking for driven professionals that are excited to join a growing business where they will have a strong voice in the direction and success of the company. Our company offers competitive benefits across salary, equity, medical, parental leave, and more. We provide in-office and remote work flexibility and have a flexible vacation policy. Our culture embraces teamwork and cross-functional collaboration for a fun and exciting environment.
Our team is looking for a talented, motivated, and high-performing Senior Analyst to join our Analytics team. The Senior Analyst will demonstrate strong analytic, project management and interpersonal skills to create innovative analytics for our member base. They will be responsible for performing analyses to inform member’s business decisions and supporting the development and deployment of CareJourney’s suite of insights, products and services to its member-base.

REQUIRED SKILLS

• BS/BA degree
• Minimum of 3 years’ experience working in healthcare analytics/informatics team combined with experience in healthcare claims or EHR data
• Experience in the health care industry, particularly experience working with various types of healthcare claims data (Commercial, Medicare, Medicaid)
• Strong analytical skills, including data analysis and synthesis, leveraging BI tools, including but not limited to SQL, SAS, Python and Tableau
• Strong problem-solving aptitude with an ability to define practical yet scalable approaches to analytics needs supported by quantitative or qualitative analysis
• Strong business acumen and effective written and verbal communication skills
• Project management skills, prioritizing various tasks effectively across multiple accounts at the same time

DESIRED SKILLS

• M.S. or Ph.D. from a statistics, mathematics, computer science, computational social science or operations research program or equivalent experience preferred.
• Strong familiarity with SAS or other programming languages
• Knowledge of, or experience with, health economics or outcomes research (HEOR), CMS/CMMI Alternative Payment Models (APMs), the payer space, and quality metrics
• Prior experience with CMS’s Virtual Research Data Center (VRDC)
• Working knowledge of statistical analysis: regression, predictive modeling, collaborative filtering, etc. and analytical modeling using large datasets
• Experience in business process analysis, data architecture design and development as well as the implementation of workflow enabled solutions
• Deep interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement and statistics
• Passion for working with large quantities of data and extracting meaningful insights from databases.
• Ability to move easily between technical activities and providing insights to executives or customer.

• Work closely with a lead analyst or manager to complete projects end to end, including prototyping analyses, meeting deadlines, and ensuring quality of results.
• Assist with sizing and scoping of new analytic engagements and projects.
• Design and construct data analysis and visualizations consistent with known business requirements on a wide range of healthcare business topics and lines of business such as Medicare Fee-for-Service, Commercial, and Medicare Advantage.
• Work cross-functionally with other teams at CareJourney to complete analytics projects including but not limited to Engineering, Product, and Member ServicesCreate data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends and derive insights from large data sets.
• Proactively engage with cross-functional teams to ensure understanding of the analytics offering, spot new opportunities, and ensure insights are put into action.
• QA peer work through review of the code line and data validationPerform additional team responsibilities as necessary