Data Science Analyst -Geriatric and Palliative Care

Position: Data Science Analyst I-Geriatric and Palliative Care
Location: New York

# Data Science Analyst I-Geriatric and Palliative Care Mount Sinai Morningside Be an Early Applicant Contract mid New  York, New York, US $72k – $110k Posted Today##

Role Overview Mount Sinai Morningside is hiring a mid-level Data Science Analyst I-Geriatric and Palliative Care. This is a contract role in New York, New York. Part of Mount Sinai Morningside's Pharmacy hiring, posted today. The posted range is $72k to $110k; applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.##

Salary Context

This role offers $72k-$110k. The median for Mid-level Pharmacy roles is $98k-$127k (based on 19 listings). 19% below median.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring

PythonSQLEMREpicORCase Management Compensation Benefits Sign  up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job description### Description###

Job 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.###

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.
* 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…