HEALTH DATA ANALYST SKILLS, EXPERIENCES, AND JOB REQUIREMENTS

Published: Apr 29, 2025 - The Health Data Analyst analyzes healthcare processes and outcomes using advanced statistical tools like SAS, SPSS, and SQL. This role requires expertise in data analysis, survey development, and quality improvement to support healthcare decision-making. The data analyst ensures accurate reporting, maintains data integrity, and drives continuous clinical improvement initiatives.

Essential Hard and Soft Skills for a Health Data Analyst Resume
  • Data Analysis
  • Report Preparation
  • Predictive Modeling
  • Risk Stratification
  • Data Mining
  • Statistical Analysis
  • Data Visualization
  • Claims Analysis
  • SQL Querying
  • Clinical Analysis
  • Insight Communication
  • Customer Collaboration
  • Process Improvement
  • Team Mentoring
  • Client Management
  • Product Improvement
  • Project Planning
  • Analytics Management
  • Business Liaison
  • Professional Communication

Summary of Health Data Analyst Knowledge and Qualifications on Resume

1. BS in Information Systems with 8 years of Experience

  • Experience conducting research/evaluation within the academic and governmental sectors
  • Good knowledge of Medicaid Claims data and adequate understanding of using eligibility, facility header, facility detail and professional files
  • Experience in conducting in-house training
  • Extensive knowledge and experience in utilizing large health databases for research, program evaluation, and policy development
  • Ability to project and maintain a positive and collaborative attitude
  • Record of accomplishments in the area of health data analytics
  • Strong ability to communicate goals, methods, and results of research initiatives with key stakeholders
  • Demonstrated proficiency in the use of standard software packages
  • Ability to manipulate data and automate geospatial processes using Python
  • Experience with Python, SQL Server, R, PowerBI, Geocoding, Tableau, PowerBI, AirTable
  • Good knowledge of handling mortality data
  • Experience working with Medicaid Claims data and adequate understanding of using eligibility, facility header, facility detail and professional files
  • Demonstrate flexibility in delivering against assigned tasks
  • Ability to analyze data and apply investigative skills in resolving issues
  • Proven experience working with Medicare and Commercial paid claims data sets
  • Ability to multitask in a fast-paced environment and quickly adapt to changes in both technology and business environments

2. BS in Healthcare Administration with 5 years of Experience

  • Knowledge of the health insurance industry claim data and large data warehouse structures
  • Knowledge of NCQA HEDIS measure technical specifications and clinical coding systems
  • Proficient in SAS or SQL programming in different data systems
  • Good verbal and written communication skills in a variety of settings (one-on-ones, presentations, group discussions) and to a variety of audiences (technical, non-technical audiences, peers and leaders)
  • Capable of managing tight deadlines and working simultaneously on a variety of tasks
  • Self-directed with the ability to anticipate and initiate tasks 
  • Working experience in public health, biostatistics, statistics or epidemiology 
  • Previous working experience in the healthcare data field
  • Experience with HEDIS measurement and/or Health Data data analysis techniques
  • Experience with programming/coding  
  • Understanding of programming languages of interest include Python, Microsoft Visual Basic for Applications (VBA), SAS, and SQL
  • Strong quantitative skills using databases and spreadsheets, flow charts, and advanced analysis tools

3. BS in Epidemiology with 4 years of Experience

  • Experience with an insurance health plan, physician practice, or hospital performing health plan and hospital/physician financial analysis
  • Previous insurance health plan financial analysis experience 
  • Advanced knowledge of healthcare reimbursement and risk-based contract methodologies and terms
  • Strong knowledge and experience with Milliman Medinsight or equivalent software tool
  • Proficient with SQL query language
  • Familiarity with financial modeling, analysis and reporting required
  • Knowledge of MS Office applications, especially MS Access© and MS Excel© 
  • Strong analytical, problem-solving, and communication skills with the ability to disseminate information to a variety of users
  • Experience as a health data analyst or medical economics analyst in the managed care/insurance industry
  • Strong understanding of Data Security and Compliance, particularly with HIPAA and PHI data access and storage
  • Robust understanding of ad-hoc analytical methodologies and required tools
  • Able to develop, implement, and refine clinical decision support systems,
  • Able to lead or participate in the procurement, customization, development, implementation, management, evaluation, and continuous improvement of clinical information systems, such as EHRs and order-entry systems

4. BS in Biostatistics with 6 years of Experience

  • Experience working as a statistician/statistical programmer in clinical trials, medical and/or behavioural research, and/or
  • Previous working in the digital/mobile health industry
  • Advanced SQL query skills (window functions and query optimization)
  • Strong working experience with data analysis, visualisation and statistics in Python and/or R and data-related libraries (Pandas, NumPy, SciPy, StatsModels, Matplotlib, Seaborn, Plotly, etc)
  • Proficiency in planning, creating, programming and managing complex statistical computer databases such as REDCap/Qualtrics
  • Experience applying advanced statistical models such as generalized linear models including mixed models, survival analysis, logistic regression, decision tree algorithms and Bayesian networks
  • Familiar with data management principles and regulatory requirements for clinical trials and medical research
  • Knowledge of Business Intelligence tools (Looker, Tableau, etc) for building dashboards and data visualisation 
  • Ability to meet deadlines, multi-task, problem solve and use appropriate technology to analyze business problems
  • Strong communications skills, both verbal and written
  • Background in managed healthcare and insurance analytics 
  • Experience specifically working with healthcare claims data, with a thorough understanding of all key components of claims and drivers of payment

5. BS in Public Health with 7 years of Experience

  • Demonstrated experience analyzing and reporting health care quality processes and outcomes measures and using data to improve quality
  • Advanced data analytic skills using SPSS, SAS or other statistical software for a minimum of two years
  • Quality improvement experience with a focus on data and measurement
  • Proficiency with Microsoft Office products, specifically Excel
  • Proven experience developing and conducting surveys and establishing measures to assess performance and progress
  • Strong interpersonal, organizational, time-management and prioritization skills
  • Ability to multitask and a keen attention to detail
  • Ability to work independently and meet deadlines
  • Knowledge of electronic health record systems
  • Experience with or background in quality improvement
  • Advanced SAS and/or SQL programming skills
  • Experience assessing information and knowledge-based needs of healthcare professionals and patients
  • Experience with characterizing, evaluating, and refining clinical processes
  • Skilled at defining requirements, designing and testing solutions for health care utilization and quality analytics
  • Ability to troubleshoot technical and functional problems
Relevant Information
Clinical Data Analyst Skills, Experience, and Job Requirements