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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, predictive modeling, and healthcare analytics, with a strong foundation in statistical techniques and relational databases. Capable of developing complex reports and providing actionable insights to improve healthcare outcomes and operational efficiency.
Highest-signal resume keywords
Data AnalysisPredictive ModelingSAS ProgrammingRelational Database ExpertiseHealthcare Analytics
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical AnalysisData MiningPredictive AnalyticsUtilization AnalysisQuality ImprovementCost ContainmentAdvanced StatisticsForecastingActuarial TechniquesHealthcare Data Analysis
Soft Skills
Excellent Communication SkillsProblem-Solving SkillsProject ManagementMentoringCustomer Interaction
Tools & Technologies
SASSQLVBAMicrosoft ExcelMicrosoft AccessMicrosoft PowerPointCognosPower PlayImpromptuBusiness Intelligence Technologies
Certifications & Qualifications
SAS Base Certification
Industry Keywords
Healthcare TrendsHealthcare SystemPhysician Claims DataHospital Claims DataHealth Informatics
Tech Stack
Tools & technologiesCognosSQLVBA
About the role
Key responsibilities & impact- Extract and develop complex reports and analyses with summaries and recommendations
- Monitor and measure healthcare trends, outcomes and business processes using data mining, statistical techniques and business intelligence technologies
- Provide management with statistical information, trend identification and advanced predictive models
- Design and execute analytic requests using healthcare data sources and structures
- Prepare, develop and analyze utilization, quality and medical expense data
- Develop reporting and analytic solutions including routine reports, data mining, predictive analytics, stored processes, macros, cubes and dashboards
- Review emerging healthcare trends and recommend Health Informatics applications and process changes
- Identify cost containment and quality improvement opportunities
- Manage multiple projects with competing deadlines
- Train and mentor analysts at higher levels
- Develop data strategies and integrate large datasets across multiple sources
- Present data as information and make recommendations to customers
- Develop innovative quantitative models supporting cost reduction, growth and profitability
- Provide consultative analytics support to business units
- Prepare datasets for mining and predictive modeling
- Provide expertise in relational database concepts and statistical analysis
- Develop complex predictive models, interpret model output and make strategic business inferences
- Assess upgrades to analytic products such as SAS and Cognos
- Prepare studies for journal publication or national presentations
Requirements
What you’ll need- Bachelor’s degree in Mathematics, Statistics, Medical Informatics, Economics, or related field
- Minimum of two years’ experience in data or information analysis and reporting
- Moderate knowledge of relational databases and extracting information from them
- One year of SAS, VBA or SQL experience
- Intermediate level of the Microsoft suite
- Knowledge of basic statistical concepts and strong analytical and problem-solving skills
- Intermediate understanding of healthcare products and operational business knowledge
- Demonstrated ability to complete projects with minimal supervision
- Knowledge of the healthcare system and experience with physician or hospital claims data preferred
- Excellent oral and written communication skills
- Ability to interact effectively with internal and external customers
- Level II: minimum of three years’ analytic experience in healthcare; ability to work with datasets of 2TB or greater; strong Excel, Access, Word, PowerPoint, VBA, SQL, Power Play, Impromptu and SAS skills
- Level III: minimum of five years’ experience using statistical concepts and tools; expertise in relational databases; advanced statistics, data mining, forecasting, predictive modeling and/or actuarial techniques; extensive analytic tools experience
- Level IV: minimum of three years’ healthcare-specific predictive modeling experience or seven years’ experience in health informatics; ability to create, develop and validate models independently; SAS Base Certification required within 12 months of hire or promotion; advanced analytic software programming proficiency
- Ability to travel across regions as needed
Benefits
Comp & perks- Group health and/or dental insurance
- Retirement plan
- Wellness program
- Paid time away from work
- Paid holidays
- Opportunity for remote work, decided case-by-case
- Equal Opportunity Employer