Senior Analyst - Data & Quality Assurance-Red Job New York New York USA,IT/Tech

NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has resulted in some of the lowest mortality rates in the nation. Vizient Inc. has ranked NYU Langone the No. 1 comprehensive academic medical center in the country for three years in a row, and U.S. News & World Report recently placed nine of its clinical specialties among the top five in the nation.

NYU Langone offers a comprehensive range of medical services with one high standard of care across 6 inpatient locations, its Perlmutter Cancer Center, and over 320 outpatient locations in the New York area and Florida. With $14.2 billion in revenue this year, the system also includes two tuition-free medical schools, in Manhattan and on Long Island, and a vast research enterprise with over $1 billion in active awards from the National Institutes of Health.

For more information, go to NYU Langone Health, and interact with us on Linked In, Glassdoor, Indeed, Facebook, X, You Tube and Instagram.

Position Summary:

We have an exciting opportunity to join our team as a Senior Analyst - Data & Quality Assurance-Red+F. In this role, the successful candidate Reporting to the Quality Assurance Manager, the Senior Data and Quality Assurance Analyst acts as technical lead for all aspects of RED+Fs Analytics environment. They are responsible for advancing enterprise data platform initiatives through the development and optimization of SQL solutions (including Oracle and Microsoft SQL), Databricks technologies, and scalable data pipelines.

The ideal candidate will have a proven track record in warehouse data integration, transformation processes, database environment management, and data quality assurance. Partnering with the Quality Assurance Manager, RED+F leadership and MCIT, this role will support the ongoing expansion of the Databricks platform and enable data-driven decision-making across operational and facilities management functions. Their combination of analytical skills and technical skills are a key component in RED+Fs mission of operational excellence.

Job Responsibilities:

Develop dashboards, reports and other data visualization tools in RED+Fs data management environment (Tableau). Responsible for building and maintaining data pipelines from various applications and databases to the visualization environment.
Develop, organize and maintain all technical documentation and code files related to RED+Fs data initiatives
Design, develop, and maintain data pipelines using Oracle SQL, Microsoft SQL, Databricks and other platforms as needed
Work with bronze and silver layer Databricks data structures
Support ongoing modernization and expansion of the Databricks environment
Directs and participates in data collection, data pipeline and analysist activities for a variety of RED+F systems, including Tableau, Procore, Oracle Unifier/P6, Computerized Maintenance Management Systems (CMMS), and others.
Explores new technologies to improve data and quality assurance initiatives and makes recommendations
Works with MCIT to maintain data storage environments
Works with Quality Assurance Manager and Quality and Data Analyst(s) to develop, update and maintain business and QA process documentation
Design and participate in Quality Assurance and data integrity processes
Oversee external consultants as needed
Support Quality Assurance Manager as needed
Other duties as assigned

Minimum Qualifications:

Bachelors degree in engineering, data science, computer science, mathematics or related field
3 years experience in data analytics and visualization (using Tableau, preferred), preferably in a healthcare or life sciences setting
Advanced proficiency working with relational databases
Strong proficiency in SQL (Microsoft and Oracle), mySQL, Python and advanced Excel functions
Strong communication skills, including written, verbal and graphical
Ability to multitask and prioritize work

Preferred Qualifications:

5+ years of experience in data analytics and visualization (using Tableau, preferred), preferably in a healthcare or life sciences setting
Advanced proficiency working with relational databases
Experience building and maintaining data pipelines
Hands-on experience with Databricks
Strong proficiency in SQL (Microsoft and Oracle), mySQL, Python and advanced Excel functions
Experience with database administration, including cloud solutions
Strong communication skills, including written, verbal and graphical
Ability to multitask…