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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - Education - NYU Grossman Long Island School of Medicine, Mineola - **Company:** Nyu Langone Medical Center - **Location:** Mineola, NY, United States - **Experience:** Starter - **Salary:** $66,300.0 - $100,436.0 - **Contract:** Permanent contract - **Skills:** Microsoft Access, Microsoft Word, Microsoft Excel, Artificial Intelligence, Data Analysis, Microsoft Azure, Health Informatics, Microsoft Outlook, Cloud Computing, Data Governance, Data Integration, Data Integrity, Data Visualization, Relational Databases, Electronic Data Capture, R (Programming Language), Web Browsers, Statistical Hypothesis Testing, SPSS (Software), Information Sciences, Python (Programming Language), Machine Learning, Microsoft Office, Regression Analysis, Natural Language Processing, Microsoft PowerPoint, SAS (Software), Microsoft SharePoint, SQL Databases, Tableau (Software), Enterprise Data Management, Qualtrics, Model Validation, Information Technology, Data Analytics, Tools for Reporting, Databricks - **Published:** September 28, 2026 - **Apply:** https://www.wayup.com/i-j-Data-Analyst-Education-NYU-Grossman-Long-Island-School-of-Medicine-Mineola-NYU-Langone-Health-919209823703901/ ## About the Role Three (3) years of progressively responsible experience in data analytics, institutional research, healthcare analytics, higher education analytics, medical education analytics, or a related analytical field. Knowledge, Skills, and Abilities Knowledge of statistical methodologies including descriptive and inferential statistics, survey analysis, hypothesis testing, regression analysis, and trend analysis. Advanced proficiency with SQL, Microsoft Excel, Tableau. Experience developing dashboards, reports, data visualizations, and performance metrics. Experience working with relational databases and enterprise data systems. Strong analytical, organizational, problem-solving, and project management skills. Excellent written, verbal, and presentation skills with the ability to communicate complex information to diverse audiences., To qualify you must have a Bachelor's Degree in data science, information science, business administration, health care administration or related field, or an equivalent combination of education and relevant experience. 1-3 Years progressively responsible experience in education or healthcare, quality improvement, preferably in the academic setting. Strong project development / management experience. Proficient in Microsoft Office (Excel, Access, PowerPoint, Word, Outlook, SharePoint) Proficient in Tableau Desktop Strong ability in teaching others how to optimize their use of computer programs, including Microsoft Office products, Internet browsers and Tableau dashboards. Strong interpersonal communications skills, ability to work across disciplines in collaborative environment. Should able to work efficiently, and accurately, and be able to prioritize multiple initiatives simultaneously, Master's Degree in Statistics, Data Analytics, Public Health, Business Analytics, Health Informatics, Institutional Research, Medical Education, Computer Science, or related field. Five (5) years of experience in medical education, academic medicine, institutional research, accreditation, healthcare analytics, or higher education analytics. Experience with Databricks, Azure, cloud-based analytics platforms, and enterprise data warehousing solutions. Proficiency with Python, R, SPSS, SAS, Qualtrics, REDCap, or related analytical applications. Knowledge of predictive analytics, artificial intelligence (AI), machine learning methodologies, natural language processing (NLP), and model validation techniques., Qualified candidates must be able to effectively communicate with all levels of the organization. ## Description We have an exciting opportunity to join our team as a Data Analyst - Education - NYU Grossman Long Island School of Medicine, Mineola. In this role, the successful Data Analyst collects, validates, analyzes, and reports academic, accreditation, faculty, student, and institutional data to support data-informed decision-making across the medical school. The position develops and maintains dashboards, key performance indicators (KPIs), reports, and visualizations that support accreditation, institutional effectiveness, outcomes assessment, strategic planning, and continuous quality improvement (CQI). Using statistical analysis, business intelligence tools, predictive analytics, and emerging AI technologies, the analyst translates complex data into actionable insights for leadership. Work priorities are established by the Associate Dean for Educational Planning and CQI in collaboration with the IDIC Data Analytics Team., + Performs other duties as assigned. + Collects, integrates, validates, and analyzes data from multiple institutional systems and data sources. + Develops, maintains, and automates dashboards, reports, and data visualizations utilizing Tableau, SQL, Databricks, and related reporting tools. + Produces recurring and ad hoc reports to support academic, operational, accreditation, and strategic initiatives. + Develops and monitors institutional Key Performance Indicators (KPIs) and outcome measures. + Performs statistical analyses utilizing descriptive and inferential methodologies, including trend analysis, survey analytics, hypothesis testing, confidence intervals, and regression analysis. + Supports LCME accreditation activities, institutional effectiveness programs, continuous quality improvement initiatives, and outcomes assessment efforts. + Conducts benchmarking and comparative analyses utilizing internal and external data sources. + Monitors student, faculty, curriculum, admissions, graduation, residency placement, and institutional performance metrics. + Ensures data integrity through validation, auditing, quality assurance, and data governance practices. + Supports predictive analytics initiatives and assists in the implementation of artificial intelligence and machine learning solutions to enhance decision-making and operational effectiveness. + Utilizes Databricks and cloud-based analytics environments to support enterprise reporting and data integration activities. + Prepares executive summaries, presentations, and analytical reports for leadership, committees, accreditation teams, and governance groups. + Serves as a resource for institutional analytics, reporting, performance measurement, and strategic planning initiatives. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How Web AI Can Power the Agentic Web - Jason Mayes (Google)](https://www.wearedevelopers.com/videos/1896-how-web-ai-can-power-the-agentic-web-jason-mayes-google) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Data Driven HR in Europe](https://www.wearedevelopers.com/videos/1489-data-driven-hr-in-europe) - [Privacy-first in-browser Generative AI web apps: offline-ready, future-proof, standards-based](https://www.wearedevelopers.com/videos/1572-privacy-first-in-browser-generative-ai-web-apps-offline-ready-future-proof-standards-based) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)