Data Analyst with AWS

Ethereum Technologies LLC; New York (NY); On-site; USD 85,000 - 125,000; Full time

Job summary

Ethereum Technologies LLC is seeking a Data Analyst to collect, analyze, and interpret healthcare datasets, leveraging AWS data tools to drive data-informed decisions and operational improvements.

You will work with clinicians, executives, and operations teams, ensuring data integrity, privacy, and accessibility while designing ETL/ELT pipelines and dashboards to support strategic initiatives.

Qualifications

• Bachelor’s degree as required in the field of CS/IS/PH or related field.
• 3+ years of data analysis experience.
• 2+ years working with AWS data tools (Redshift/Athena/S3/Glue).
• Strong SQL skills and Python or R for data analysis.
• Experience with healthcare data such as claims/EHR/PH data and HIPAA awareness.
• Familiarity with healthcare data standards (FHIR/HL7/ICD/CPT/LOINC).
• Experience with Tableau/Power BI or AWS Quicksight.

Responsibilities

• Analyze large volumes of structured and unstructured healthcare data from multiple sources.
• Leverage AWS services (S3, Redshift, Athena, Glue, Lambda, Quicksight) to process, analyze and visualize data.
• Design and develop ETL/ELT pipelines for data ingestion and transformation.
• Develop dashboards, reports, and visualizations for clinicians, executives, and operations teams.
• Collaborate with data engineers, data scientists, and business stakeholders to ensure data quality and accessibility.
• Ensure HIPAA compliance and data privacy.
• Perform root cause analysis on data anomalies and recommend corrective actions.
• Provide insights to improve patient outcomes and reduce costs across healthcare functions.
• Document data processes, schemas, and metrics definitions for internal use.

Skills

SQL

Python

R

Data analysis

Education

Bachelor’s degree in Computer Science, Information Systems, Public Health, or related field

Master’s degree in quantitative or healthcare-related field

Tools

Redshift

Athena

S3

Glue

Lambda

Quicksight

Job description

We are seeking a skilled Data Analyst with strong experience in AWS cloud services and a deep understanding of healthcare data. This role will focus on collecting, analyzing, and interpreting complex healthcare datasets to drive data-informed decisions, improve operational efficiency, and support strategic initiatives. The ideal candidate has hands-on experience with AWS data tools and a strong grasp of healthcare standards like HIPAA, HL7, FHIR, and claims/EHR data.

Key Responsibilities

• Analyze large volumes of structured and unstructured healthcare data and Insurance Data from multiple sources including EHRs, claims, patient portals, and third-party vendors.
• Leverage AWS services such as S3, Redshift, Athena, Glue, Lambda, and Quicksight to process, analyze, and visualize data.
• Design and develop ETL/ELT pipelines for efficient data ingestion and transformation.
• Develop dashboards, reports, and visualizations to support stakeholders including clinicians, executives, and operations teams.
• Collaborate with data engineers, data scientists, and business stakeholders to ensure data integrity and accessibility.
• Ensure compliance with HIPAA and other healthcare data privacy regulations.
• Perform root cause analysis on data anomalies and recommend corrective actions.
• Provide insights to improve patient outcomes, reduce costs, and optimize performance across healthcare functions.
• Document data processes, schemas, and metrics definitions for internal use.

Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Public Health, or related field.
• 3+ years of experience in data analysis roles.
• 2+ years working with AWS data tools (e.g., Redshift, Athena, S3, Glue).
• Strong SQL skills and experience with Python or R for data analysis.
• Experience working with healthcare data such as claims, clinical/EHR, patient engagement, or population health data.
• Familiarity with healthcare data standards (e.g., FHIR, HL7, ICD, CPT, LOINC).
• Experience with data visualization tools like Tableau, Power BI, or AWS Quicksight.

Preferred Qualifications

• Master’s degree in a quantitative or healthcare-related field.
• Experience with healthcare analytics platforms or EMR systems (e.g., Epic, Cerner).
• Knowledge of machine learning basics or statistical modeling is a plus.
• Experience with HIPAA compliance and working in a secure cloud environment.

ETHEREUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ETHEREUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ETHEREUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract