Data Science Analyst II - Pharmacy Reporting - Digital and Technology Partners - Remote
Company: Mount Sinai Morningside
Location: New York, NY (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-07-19
About this role
Description
Job Description
This is a 100% remote position - requires 1 day onsite a year at 150 E 42nd Street, New York, NY location
The Data Science Analyst II serves as a senior member of the Pharmacy Analytics team, advancing Mount Sinai’s mission through high-impact data analysis, reporting, and automation to improve pharmacy financial performance, operational efficiency, and clinical decision-making. This role works cross-functionally with stakeholders from Pharmacy, Finance, 340B, Supply Chain, and Clinical Operations to deliver data products that inform strategic decisions across the Health System
The Analyst plays a key role in developing interactive dashboards and optimizing SQL queries to integrate data from Epic Clarity, Caboodle, Oracle Cloud, Azure, wholesaler systems, and other vendor sources. A strong understanding of pharmacy workflows, healthcare finance, and medication data is essential, as this position supports critical initiatives such as drug spend tracking, waste reduction, budget forecasting, inventory reconciliation, and 340B compliance reporting.
The Data Science Analyst II collaborates with stakeholders from across the organization to develop sophisticated analytics to provide information, insights and BI (Business Intelligence) solutions that contribute to sound strategic planning, decision-making, goal setting, and effective performance measurement. The Data Science Analyst II demonstrates sound and a more advanced understanding of the healthcare domain, technical data manipulation and analytic development skills and impact the patient community of the Mount Sinai Health System.
Responsibilities
- Analyzes data requests using information technology, enrollment, claims, pharmacy, clinical, contract, medical management, financial, administrative and other corporate data from both modeled and disparate internal and external sources.
- Works with departmental staff to identify requirements for reporti...