Piper Companies

Compensation

Full Description

Piper Companies is looking for an Senior Healthcare Data Analyst for a hybrid, 6 month contract-to-hire opportunity with a health information exchange organization in Columbia, Maryland. Responsibilities of the Healthcare Data Analyst: • Advise, review, and develop business practices for using clinical data • Recommend improvements to data quality and metric tracking for improvement of reports • Perform data analysis in Databricks using SQL to identify factors to be considered in future reports, provides historical trend analytics, and supply requested metrics • Communicate and document findings for data requesters Qualifications of the Healthcare Data Analyst: • 4+ years of experience in health information technology or data management • Familiarity with healthcare quality measures such as NCQA, HEDIS, value-based care, etc • Ability to perform clinical data analysis on a non-audited data source (CCD, ORU or ADT) • Understanding of SQL at an intermediate level • Experience/knowledge with FHIR Compensation for the Healthcare Data Analyst: • $45-$50/hour pay rate • Flexible hybrid opportunity • Contract-to-hire opportunity • Comprehensive Benefits Package (Medical, Dental, Vision, 401K) This job opens for applications on 01/05/2026. Applications for this job will be accepted for 30 days from the posting date. Keywords: Healthcare data analysis, Data advisory services, Reporting strategy development, Business logic design, Data validation techniques, Data quality improvement, Ad-hoc data queries, Historical trend analytics, Metrics reporting and dashboards, Policy implications in healthcare, Data governance best practices, SQL data analysis, Databricks analytics platform, Healthcare data lake management, Complex query development, Clinical data set integration, Data-driven decision-making, Quantitative and qualitative analysis expertise, Strong communication skills, Cross-functional collaboration, Attention to detail in data reporting, Problem-solving in healthcare analytics, Intellectual curiosity and adaptability, Flexibility and creativity in data solutions, Sound judgment in policy and data governance, Clinical data analytics, Social determinants of health data, Regional public health insights, Patient care outcome improvement, Healthcare cost reduction strategies. #LI-NW1, #LI-HYBRID