Perform data extraction, transformation, and preparation using Python, SQL, and standardized data sources
Conduct exploratory data analysis (EDA) to identify trends, patterns, and data quality issues
Apply statistical analysis and machine learning techniques (e.g., regression, classification, clustering) to generate insights and support decision-making
Develop and operationalize scalable reporting frameworks and reusable data products aligned to standardized data models
Design and deliver advanced dashboards and visualization solutions using Tableau, Power BI, Looker, or similar platforms
Translate analytical outputs into decision-ready insights, including structured recommendations and trade-off analysis
Collaborate with stakeholders to define requirements and deliver production-oriented analytical solutions
Identify opportunities to improve data quality, standardization, and analytical efficiency
Communicate findings through executive-ready visualizations, storytelling, and concise written deliverables

Requirements

Bachelor’s degree in a quantitative discipline (e.g., Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field)
Currently pursuing a graduate degree (Master’s or Ph.D. candidate) in a relevant quantitative or analytical field (required)
Demonstrated, hands-on experience with Python and SQL for data analysis and manipulation
Experience working with healthcare data (clinical, claims, public health, or operational datasets)
Experience working in Jupyter notebooks or equivalent analytical environments
Proven experience developing data visualizations and dashboards using Tableau, Power BI, Looker, or similar tools
Demonstrated end-to-end project experience, including data ingestion, analysis, modeling, and presentation of results
Strong foundation in statistics, data analysis, and structured problem-solving
Experience applying machine learning techniques (e.g., regression, classification, clustering, or similar methods) in academic, research, or project settings
Familiarity with AI-assisted analytical workflows (e.g., use of generative AI or automation to enhance coding, analysis, or insight generation)
Ability to work independently on complex, ambiguous analytical problems and deliver high-quality outputs
Strong written and verbal communication skills, including the ability to present findings to technical and non-technical audiences
U.S. Citizenship preferred

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonSQLdata extractiondata transformationdata analysisstatistical analysismachine learningdata visualizationdashboard developmentdata modeling

Soft Skills

problem-solvingcommunicationcollaborationstorytellingindependenceanalytical thinkingattention to detaildecision-makingpresentation skillsadaptability

Certifications

Bachelor’s degreeMaster’s degreePh.D.