Data Analyst with Healthcare experience - Remote
Position Responsibilities
Ingest, standardize, and analyze pharmacy and medical claims and eligibility files
Use exploratory data analysis (EDA) to identify general patterns and outlier data points
Build new and optimize existing ETL processes
Engage cross-functionality to identify, prioritize and deliver data and analysis requirements
Partner with stakeholders to ensure data accuracy, consistency, and reliability; prioritize and deliver actionable insights from analytics
Facilitate a data-driven approach to problem solving by increasing data accessibility across the organization via automated reports and dashboards
Develop, maintain and QA an automated process to pull data and populate templates for monthly, quarterly, annual reports, including ad hoc client, sales and investor reports
Present financial reports to clients and prospects
Build and track effectiveness of rules identified by clinicians to generate engagement opportunities to improve member outcomes and drive savings
Collaborate with Product, Engineering and marketing to monitor engagement performance, identify new product features, and measure impact
Partner with external data vendors to securely transfer health data ensuring efficient and correct processing at scale.
Requirements
Qualifications and Skills
BS in STEM or other quantitative subject (e.g. economics, finance); MS degree a plus
3 years of professional experience analyzing data, generating dashboards and reports, and providing insights derived from research to cross-functional teams
2 years of experience working with healthcare data
Understands and supports business priorities
Experience working with large, complex healthcare datasets
Proficiency with SQL
Understanding of applied statistics
Ability to distill and communicate analytic results to variety of stakeholders
Strong problem-solving and communication skills
Ability to accurately articulate a technically complex subject matter to an audience spanning the technical competency spectrum
Ability to thrive in a fast-paced environment, and to work independently
Careful attention to detail, accuracy and deadlines with the ability to multitask on different projects
Preferred Qualifications:
Experience creating clear deliverables from vague requirements
Experience with Python and Pandas
Experience developing advanced models (i.e. machine learning, linear regression)
Familiarity with working with big data and no-sql databases
Familiarity with AWS and data visualization platforms like Looker,Tableau, or Sigma Computing
Self-motivated, creative, curious, attention to detail
Familiarity with working with source control system, e.g. Github and Github Actions
Experience with presenting reports to clients and senior management
Ability to create and maintain standard operating procedures for all data activities
Experience with Artificial Intelligence
Benefits
Benefits
Remote position
Unlimited time off
Health insurance
Excellent company culture
Apply Now
Ingest, standardize, and analyze pharmacy and medical claims and eligibility files
Use exploratory data analysis (EDA) to identify general patterns and outlier data points
Build new and optimize existing ETL processes
Engage cross-functionality to identify, prioritize and deliver data and analysis requirements
Partner with stakeholders to ensure data accuracy, consistency, and reliability; prioritize and deliver actionable insights from analytics
Facilitate a data-driven approach to problem solving by increasing data accessibility across the organization via automated reports and dashboards
Develop, maintain and QA an automated process to pull data and populate templates for monthly, quarterly, annual reports, including ad hoc client, sales and investor reports
Present financial reports to clients and prospects
Build and track effectiveness of rules identified by clinicians to generate engagement opportunities to improve member outcomes and drive savings
Collaborate with Product, Engineering and marketing to monitor engagement performance, identify new product features, and measure impact
Partner with external data vendors to securely transfer health data ensuring efficient and correct processing at scale.
Requirements
Qualifications and Skills
BS in STEM or other quantitative subject (e.g. economics, finance); MS degree a plus
3 years of professional experience analyzing data, generating dashboards and reports, and providing insights derived from research to cross-functional teams
2 years of experience working with healthcare data
Understands and supports business priorities
Experience working with large, complex healthcare datasets
Proficiency with SQL
Understanding of applied statistics
Ability to distill and communicate analytic results to variety of stakeholders
Strong problem-solving and communication skills
Ability to accurately articulate a technically complex subject matter to an audience spanning the technical competency spectrum
Ability to thrive in a fast-paced environment, and to work independently
Careful attention to detail, accuracy and deadlines with the ability to multitask on different projects
Preferred Qualifications:
Experience creating clear deliverables from vague requirements
Experience with Python and Pandas
Experience developing advanced models (i.e. machine learning, linear regression)
Familiarity with working with big data and no-sql databases
Familiarity with AWS and data visualization platforms like Looker,Tableau, or Sigma Computing
Self-motivated, creative, curious, attention to detail
Familiarity with working with source control system, e.g. Github and Github Actions
Experience with presenting reports to clients and senior management
Ability to create and maintain standard operating procedures for all data activities
Experience with Artificial Intelligence
Benefits
Benefits
Remote position
Unlimited time off
Health insurance
Excellent company culture
Apply Now