Senior Healthcare Information Analyst

Location: Remote 
Duration: 6 Months
Pay Rate: $40-$45/hr

Overview: 

We are seeking a Senior Healthcare Informatics Analyst with strong experience in pharmacy analytics to support data-driven decision making related to pharmacy utilization, cost, and clinical outcomes.

This role will partner across clinical, finance, actuarial, and IT teams to deliver insights that improve pharmacy benefit performance and optimize overall healthcare outcomes.

---

What You’ll Do

• Analyze pharmacy claims data to identify trends in utilization, cost, and outcomes
• Develop and maintain dashboards, reports, and predictive models
• Support formulary performance, drug cost optimization, and medication adherence initiatives
• Translate complex data into actionable insights for business stakeholders
• Partner with cross-functional teams to support strategic initiatives
• Ensure data accuracy, quality, and compliance with healthcare regulations

---

Required Qualifications

• 4+ years of healthcare analytics experience
• Experience working with pharmacy or PBM data
• Strong knowledge of pharmacy claims, utilization trends, and cost drivers
• Proficiency in one or more: SQL, SAS, Python, or R
• Experience with data visualization tools (e.g., Tableau or similar)
• Strong analytical, problem-solving, and communication skills

---

Preferred Qualifications

• Experience in a healthcare payer environment
• Knowledge of:
  • Pharmacy pricing models (AWP, WAC, rebates)
  • Medication adherence metrics (PDC, MPR)
  • HEDIS / STAR measures
• Experience building predictive or statistical models
• Advanced SAS experience (including Enterprise Miner)

---

Education

• Bachelor’s degree in a related field (Analytics, Healthcare, Statistics, etc.) required
• Advanced degree preferred

---

Location

This is a fully remote position, but candidates must reside in one of the following approved states:

Alabama, Arkansas, Florida, Georgia, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, Texas, Virginia

Data Analyst

Location: Washington, DC (Remote)
Duration: 8 months
Pay Rate: $45/hr

This contract role as a Data Analyst focuses on processing and analyzing public opinion and survey data preparing SPSS datasets, including weighting, tabulations, data transformations, and producing research deliverables such as toplines while also supporting the development of standardized data libraries and documentation. The position would sit within Corporate Affairs Reputation Management team, applying statistical and research methods to inform insights, stakeholder sentiment, and strategic decision-making across the corporate affairs organization.

Responsibilities:

Primary: Perform data processing on raw survey data using repeatable syntax, with emphasis on scripts for data validation, weighting, and summary tabulations. Preparing research documents such toplines and specifications for cross-tabulations.

Secondary: Writing procedures, documentation, and/or training guides for data collection practices and initial data processing.

Tertiary: Support survey development (including programming and testing) and managing survey/data collection firms. Perform secondary research, including literature reviews, internet research, sampling documentation, and database review.

Qualifications/Skills:

• Bachelor s degree in Sociology, Economics, Statistics, or a related field.
• Minimum 3 years of work experience in data collection and analysis, survey design and implementation, public opinion research, polling, or market research is required.
• Strong proficiency in statistical analysis tools (e.g., SPSS, R, Python, Q Research); strong preference for SPSS.
• Experience with Excel or Qualtrics (data manipulation, macros, charts and pivot tables) and thorough knowledge of the MS Office Suite (Word, Excel, PowerPoint)
• Knowledge of sampling sources (voter files, online panels, listed directories) in public opinion research.
• Experience in balancing multiple data collection methods (online, telephone).
• Experience weighting datasets and working with U.S. census data.
• Experience working with survey development software and programming.
• Experience that demonstrates a focus on quality, accurate and error-free work
• Familiar with the benefits and limitations of research practices.