Job Description
This is primarily a remote position, some onsite as needed (quarterly or occasionally). Location: 150 E 42nd Street, New York, NY. The Data Science Analyst III is a senior role, collaborating 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 to improve pediatric patient outcomes. The Data Science Analyst III demonstrates advanced understanding of the pediatric healthcare domain, quality measurement, data integration, and analytic development, with a strong focus on supporting quality improvement initiatives, accreditation, public reporting, and performance measurement that impacts the pediatric and broader patient community of the Mount Sinai Health System. Serves as mentor to others in the Data Science team and takes the lead role in project initiatives.
Qualifications
- BA or BS degree minimum, in a relevant field of study; Masters degree preferred.
- 7 years minimum, higher 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 a health care EMR such as Epic/Clarity, aCW, etc.; a payor claims system such as Facets, Amisys, etc.; or a hospital/provider system such as IDX, Soarian, etc.
- Knowledge of the New York State Medicaid and CMS Medicare regulations and related reporting requirements, such as STARS, QARR, MMCOR, MEDS, RAPS and HEDIS is a strong plus.
- Experience working in a health plan or consulting actuarial, financial reporting or medical economics departments highly valuable.
- Experience as a nurse informaticist highly valuable.
- Experience working in healthcare provider analytics related to revenue modeling, managed care contracting, population management, case management, clinical or financial decision report.
- PhD, MD or DO program may be substituted for three years of experience. General Skills and Competencies
- Demonstrates the ability to assure compliance with regulatory, insurance and ethical standards regarding safety of patients, employees and property.
- Identifies contingency plans for potential risks.
- Strong data mining skills using tools like SQL, R, Python, SAS, Java/MapReduce, Aster, etc.
- Strong analytical skills, with the ability to perform complex analysis and make recommendations based on statistical inferences. Experience with and an understanding of a wide variety of analytical or statistical methods.
- Strong working knowledge of Business Intelligence products such as Tableau, Information Builders, Dimensional Insights, SAP/Business Objects, SAS, MicroStrategy, etc.
- General understanding of ETL tools like SSIS, Data Stage, PowerCenter, etc.
- Advanced analytical, financial and technical skills needed to perform complex analysis and data modeling using sophisticated report writing and data management tools.
- Ability to exercise critical thinking and logical reasoning, and understand the conceptual framework and database relationships underlying health care data.
- Ability to think creatively; demonstrated excellent problem solving skills.
- Excellent oral and writing skills characterized by the ability to communicate effectively with varying audiences.
- Demonstrated ability to articulate goals, plan and implement processes to achieve those goals, recognize and assess the implications of confounding variables, anticipate consequences, and meet deadlines.
- Advanced interpersonal (e.g., mediating, mentoring, teaching) skills required to service internal and external clients effectively, and manage relationships and activities that are diverse and complex.
- Self‑motivation and resourceful, with a demonstrated ability to think and work independently, and to exercise independent judgment in originating or developing complex techniques or programs in a complex and dynamic environment.
- High level of integrity as demonstrated by 1) appropriate treatment of confidential or protected health information, 2) adherence to policies, procedures, rules, and regulations, 3) professional conduct in dealing with persons internal and external to the organization, and 4) sensitivity to populations served by the organization.
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 reporting and/or business intelligence tools.
- Identifies necessary data, data sources and methodologies.
- Collects, organizes, integrates, analyzes and interprets data.
- Leverages advanced statistical analysis methods to create insightful recommendations