Lead Data Analyst

Posted 6 Days Ago
Hiring Remotely in Arlington, VA
Remote
Senior level
Analytics
The Role
The Lead Data Analyst at CareJourney will manage analytics projects, perform data analysis and visualizations, collaborate cross-functionally, create data mining models, and ensure quality of results while proactively engaging with teams.
Summary Generated by Built In

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. 


We are looking for a talented, motivated, and high-performing Lead Analyst to join our Analytics team. The Lead 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.

Key Responsibilities

  • Lead analytics projects from start to finish, 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 Services
  • Create 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 validation
  • Perform additional team responsibilities as necessary

Required Skills

  • BS/BA degree
  • Minimum of 5 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)
  • SAS programming experience required
  • Strong analytical skills, including data analysis and synthesis and leveraging BI tools
  • 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 other programming languages such as Python, R, and SQL
  • 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.

About CareJourney – Headquartered in Arlington, VA, CareJourney empowers individuals and organizations they trust with open, clinically-relevant analytics and insights in the pursuit of the optimal healthcare journey. Through our solutions, we provide members with interactive dashboards around network design and management, care model management, patient risk segmentation and cohort analysis, spend and utilization trends, network integrity, low-value care, and provider, practice and facility (acute and post-acute) performance. Founded in 2014, CareJourney is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Please visit us at www.carejourney.com for more information.

Top Skills

Python
R
SAS
The Company
Arlington, VA
80 Employees
On-site Workplace
Year Founded: 2014

What We Do

CareJourney is a leading provider of clinically-relevant analytics for value-based networks. Headquartered in Arlington, VA, CareJourney currently supports leading payer, provider, and life sciences organizations across the US in achieving their goals by wringing new, high value insights out of expansive population claims data. Through its CareJourney Platform, CareJourney provides members with interactive dashboards of clinically-relevant insights around network design and management, care model management, patient risk segmentation, spend and utilization trends, network integrity, low-value care, and provider, practice and facility (acute and post-acute) performance.

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