Senior Data & QA Analyst: Databricks, Tableau & SQL

NYU Langone Hospitals; New York (NY); On-site; USD 70,000 - 122,000; Full time

Job summary

NYU Langone Health in New York, NY seeks a Senior Analyst - Data & Quality Assurance-RED+F to lead analytics and QA for RED+F. You will develop dashboards and data pipelines using Oracle/MS SQL, and Databricks, while guiding data quality and documentation efforts across the organization.

The role requires strong SQL, Python, and Excel skills, plus experience with Tableau and data integration in healthcare or life sciences settings.

Qualifications

• Bachelor’s degree in engineering, data science, CS, math or related field.
• 3 years’ experience in data analytics and visualization (Tableau preferred).
• Advanced proficiency with relational databases and SQL (MS/Oracle).
• Strong communication and multi-tasking abilities.

Responsibilities

• Develop dashboards and reports in Tableau for RED+F analytics and build data pipelines.
• Maintain technical docs and code for RED+F data initiatives.
• Design and maintain data pipelines using Oracle SQL, MS SQL, and Databricks.
• Work with bronze/silver Databricks layers and modernize the environment.
• Lead data collection and analytics for RED+F systems including Tableau, Procore, Unifier/P6, CMMS.
• Explore new technologies to improve data quality and QA initiatives.
• Collaborate with MCIT to maintain data storage environments.
• Contribute to QA process documentation with QA Manager and analysts.
• Design and participate in QA and data integrity processes.
• Oversee external consultants and support QA Manager as needed.

Skills

SQL

Tableau

Python

Excel

Communication

Education

Bachelor's degree in engineering/CS/math/data science

Master's degree

Tools

Databricks

Oracle SQL

Microsoft SQL

MySQL

Job description

NYU Langone Health in New York, NY seeks a Senior Analyst - Data & Quality Assurance-RED+F to lead analytics and QA for RED+F. You will develop dashboards and data pipelines using Oracle/MS SQL, and Databricks, while guiding data quality and documentation efforts across the organization.

The role requires strong SQL, Python, and Excel skills, plus experience with Tableau and data integration in healthcare or life sciences settings.