Extract, clean, and analyze large-scale healthcare datasets from diverse sources (e.g., EHRs, pharmacy data, claims, registries).
Ensure data quality, integrity, privacy, and security in compliance with HIPAA and institutional policies.
Develop and maintain data models, dashboards, and reports to support research and operational decision-making.
Identify trends, patterns, and anomalies to generate actionable insights.
Conduct ad hoc analyses and respond to data requests from internal stakeholders.
Communicate findings clearly through visualizations and presentations tailored to both technical and non-technical audiences.
Collaborate with cross-functional teams to support data-driven strategies and initiatives.
Stay current with healthcare data standards, analytics tools, and industry best practices.

Requirements

At least 2 years of experience in a data analyst or similar role, preferably in a healthcare or clinical research setting.
1-2 years experience extracting healthcare EMR data using SQL
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Health Informatics, or a related field.
Strong SQL skills required for data extraction, transformation, and reporting.
Candidates must demonstrate advanced proficiency in writing, optimizing, and troubleshooting complex queries, with working familiarity with SQL Server environments.
Proficiency in at least one analytical programming language such as Python or R.
Experience working with healthcare data (e.g., EHRs, claims, registries); familiarity with data standards such as OMOP is a plus.
Experience with data visualization tools (e.g., Tableau, Power BI) is desirable.
Advanced proficiency in Microsoft Office tools, including Excel, PowerPoint, and Word.
Strong analytical thinking, attention to detail, and problem-solving skills.
Excellent organizational and time management abilities; capable of managing multiple priorities in a fast-paced environment.
Strong written and verbal communication skills.
Ability to work independently and collaboratively within a team-based structure.

Benefits

Comprehensive Benefits
PTO accrues day 1
Flexible working model required weekly includes onsite in office (1-2 days per week weekly, must be flexible for business needs)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data analysisdata extractiondata cleaningdata modelingSQLPythonRdata visualizationreportingdata transformation

Soft skills

analytical thinkingattention to detailproblem-solvingorganizational skillstime managementwritten communicationverbal communicationcollaborationindependenceadaptability