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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science Analyst I-Geriatric and Palliative... - **Company:** Mount Sinai Health System - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $72,473.0 - $110,291.0 - **Contract:** Permanent contract - **Skills:** Data Integrity, Data Warehousing, Python (Programming Language), SQL Databases, Technical Data Management Systems, Enterprise Data Management, Information Technology, Data Management, Data Pipelines - **Published:** July 8, 2026 - **Apply:** https://www.juju.com/job/00000000gew5kx ## About the Role + BA or BS degree minimum, in a relevant field of study; Master?s degree preferred. + 2 years minimum is preferred in analytics development expertise, preferably in health care, or for a health provider, health plan or accountable care organization, including either: + Working knowledge of healthcare EMR platforms such as Epic/Clarity, with demonstrated proficiency in SQL and Python to procure data and build efficient data pipelines. + Experience working in healthcare provider analytics related to revenue modeling, managed care contracting, population management, case management, clinical or financial decision report Non-Bargaining Unit, 851 - Geriatrics and Palliative Care - ISM, Icahn School of Medicine ## Description The Data Science Analyst I 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. This individual demonstrates sound understanding of the healthcare domain, technical data manipulation and analytic development skills and impact the patient community of the Mount Sinai Health System., + 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. + a. Works with departmental staff to identify requirements for reporting and / or business intelligence tools. + b. Identifies necessary data, data sources and methodologies. + c. Collects, organizes, integrates, analyzes and interprets data. + d. Leverages advanced statistical analysis methods to create insightful recommendations and conclusions that may be communicated to the stakeholder. + e. Identifies and addresses expected and unforeseen data complexities to mitigate their impact on the analytic outcome and associated business decisions. Works to improve data quality where possible within created analytical models. Feeds data quality issues back to IT or identified data stewards to facilitate creation of high-quality metrics. + f. Develops and may present reports, analyses and findings to senior management and others as scheduled or requested. + Acts as liaison/analyst for internal stakeholders, understands their needs and translates them into reporting and analytic solutions. + Effectively communicates with stakeholders and customers and ensures all requests are properly triaged, recorded and tracked. + Adheres to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format to ensure high quality, meaningful analytic output. + Helps identify and understand data from internal and external sources for competitive, scenario and performance analyses, and financial modeling to gain member/provider insight into new and existing processes and business opportunities. + Works closely with IT on the ongoing improvement of Mount Sinai's integrated data warehouse, driven by strategic and business needs, and designed to ensure data and reporting consistency throughout the organization. + Develops and maintains project work plans, including critical tasks, milestones, timelines, interdependencies and contingencies. Tracks and reports progress. Keeps stakeholders apprised of project status and implications for completion. + Prepares clear, well-organized project-specific documentation, including, at a minimum, analytic methods used, key decision points and caveats, with sufficient detail to support comprehension and replication. + Demonstrate proficiency with the principles and methodologies of process improvement. Applies these in the execution of responsibilities in support of a process focused approach. 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