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Data Analyst with Healthcare experience - Remote

Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

BS in STEM or a quantitative subject; MS degree is a plus., 3 years of experience in data analysis, dashboard generation, and providing insights to cross-functional teams., 2 years of experience with healthcare data and large datasets., Proficiency in SQL and understanding of applied statistics..

Key responsabilities:

  • Ingest, standardize, and analyze pharmacy and medical claims data.
  • Build and optimize ETL processes and facilitate data-driven problem solving.
  • Develop automated reports and present financial reports to clients.
  • Collaborate with stakeholders and external vendors to ensure data accuracy and efficient processing.

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Walrus Health http://walrus.com
11 - 50 Employees
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Job description

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

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Time Management
  • Detail Oriented
  • Communication
  • Problem Solving

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