Healthcare Data Analyst with Python & PySpark

Ampstek; New York (NY); On-site; USD 80,000 - 110,000; Full time

Job summary

Join a forward-thinking company as a Healthcare Data Analyst, where your expertise in Python and PySpark will drive insights and decision-making in the healthcare sector. This role involves transforming complex data into actionable insights, collaborating with cross-functional teams, and ensuring compliance with healthcare regulations. With a focus on data integrity and accuracy, you'll play a pivotal role in supporting clinical and business operations. If you're passionate about leveraging data to improve healthcare outcomes, this opportunity is perfect for you.

Qualifications

• 7+ years of experience in data analysis with a focus on healthcare.
• Strong programming skills in Python and PySpark.

Responsibilities

• Extract, transform, and analyze large datasets using Python and PySpark.
• Design and build ETL pipelines for data integration.

Skills

Python

PySpark

SQL

Tableau

Power BI

Excel

Healthcare data standards

Data integrity

Communication skills

Tools

Tableau

Power BI

Job description

Healthcare Data Analyst with Python & PySpark

We are seeking a skilled Data Analyst with strong Python and PySpark experience to join our healthcare analytics team. The ideal candidate will work on transforming and analyzing complex healthcare data to support insights, reporting, and decision-making across clinical and business operations.

Key Responsibilities:

1. Extract, transform, and analyze large datasets using Python, PySpark, and SQL.
2. Design and build ETL pipelines to support data integration and warehousing needs.
3. Develop dashboards and reports using tools like Tableau or Power BI.
4. Interpret data trends and provide actionable insights to stakeholders.
5. Collaborate with cross-functional teams to support data-driven decision-making.
6. Ensure data integrity, accuracy, and compliance with healthcare regulations.
7. Document analytical processes, queries, and reporting frameworks.

Required Skills & Experience:

1. 7+ years of experience as a Data Analyst, with a focus on large-scale data processing.
2. Strong programming skills in Python and PySpark.
3. Proficient in SQL, Excel, and data visualization tools (Tableau/Power BI).
4. Solid understanding of data warehouses, data marts, and relational databases.
5. Experience working in a healthcare IT environment.
6. Familiarity with healthcare data standards and compliance (e.g., HIPAA).
7. Strong communication and technical writing skills.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting