Data Warehouse/Business Intelligence Developer

Job Description

Working at NYU Langone Health

NYU Langone Health's Information Technology & Digital department is a diverse mix of collaborative, innovative and curious thinkers working to develop, safeguard, and innovate the digital solutions across the organization. Our MCIT team members are passionate about technology and understand its importance in keeping NYU Langone ahead of the curve in a rapidly evolving industry. We work every day towards our goal of being the global leader in medical delivery, research and education, driven by innovation and the integration of information and technology.

With over six inpatient locations, and additional facilities spread throughout, NYU Langone Health is New York City's premier healthcare institution. Our world-class facilities service all five boroughs and treat a full range of medical conditions in both inpatient and outpatient settings. Our growing outpatient network allows us to deliver our exceptional medical services directly to the communities we serve. Plus, our doctors and nurses are routinely voted as some of the best in the nation. It's no wonder why the name NYU Langone Health has become synonymous with excellence.

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is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of , the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. For more information, go to , and interact with us on , , , , and .

Position Summary:
The Division of Academic Analytics (DAA) at NYU Langone Health is recruiting an individual skilled Information Management developer who will contribute to the work of building and enhancing the data analytics infrastructure for the research mission. DAA is the R&D department for academic analytics and, as such, develops advanced analytical and decision support tools for education and research. The analytical and decision
support tools developed by DAA play an essential role in advancing the research and education initiatives of the School of Medicine.

Responsibilities
Work closely with Medical Center Information Technology (MCIT) and Research Mission leadership, team members and organizational partners to understand business requirements that drive the design and implementation of quality analytical and decision support tools .
The Information Management developer will be primarily responsible for designing and developing data repositories, business intelligence and decision-support tools using data modeling, ETL, data visualization techniques and analytics. Generally working with a small team of developers and analysts.

Design, implement and maintain ETL processes from multiple data sources
Monitor production jobs and resolve any issues in a timely manner
Define and capture metadata and rules associated with ETL processes
Map Source System Data to the Data Warehouse Data Model
Query Tuning/Optimization for performance
Data warehouse design and development
Develop data visualizations, dashboards and reports and using Tableau and/or other analytics software
Configuring and administering data and dashboard security and access
Maintain Data Quality and Integrity of the data warehouse

Qualifications

Bachelor's/Master's degree in Computer Science or related discipline and 3+ years of experience.
Proficient in SQL and PL/SQL skills
Experience with various RDBMS (MySQL, Oracle, SQL Server…)
Expert knowledge and experience with ETL concepts, processes and tools (Informatica, Pentaho
data-integration etc.)
Expert knowledge of Tableau development, including visualizations, parameters, report optimization,
security, and complex calculations, such as Level of Details Expressions
Strong relational and dimensional data modeling skills
Knowledge of query tuning and use of indexes
Business Intelligence (BI) experience with a strong understanding of Data Warehousing concepts, Data
Modeling concepts and design.
Must have a strong capacity for delivering on deadlines, attention to detail and documenting work.
Excellent analytical and communication skills
Preferred Skills
Programming skills i.e. python
Experience with wireframe, diagram, workflow software tools, i.e. Lucidchart or similar
Experience with performance tuning analysis
Knowledge of statistical methods and data science
Advanced analytics, machine learning, natural language processing, big data (hadoop), statistical
programming
Knowledge of Linux (Unix)
Familiarity with data governance platforms, i.e. Collibra
Experience with project management software, i.e. JIRA and DevOps tools, i.e. Gitlab

Qualified candidates must be able to effectively communicate with all levels of the organization.

NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents.

NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.
If you wish to view NYU Grossman School of Medicine's EEO policies, please . Please to view the Federal "EEO is the law" poster or visit for more information. To view the Pay Transparency Notice, please .