Data Science Analyst II-Pathology, Molecular and Cell Based Medicine

Mount Sinai Health Systems•New York, NY

1d•$87,692 - $131,538

About The Position

The Data Science Analyst II collaborates with stakeholders across the organization to develop sophisticated analytics, business intelligence solutions, and insights that support strategic planning, decision-making, goal setting, and performance measurement. The role requires an advanced understanding of the healthcare domain, technical data manipulation, and analytic development, with work intended to positively affect the Mount Sinai Health System patient community. The analyst works with internal stakeholders to understand their needs and translate them into reporting and analytic solutions. They analyze data from internal and external sources, create reports and interactive dashboards, support the development and improvement of the integrated data warehouse, and provide technical support for analytics and BI tools. The role also includes project planning and documentation, customer training, mentoring junior analysts, sharing analytical expertise, and applying process-improvement principles.

Requirements

Bachelor’s degree (BA or BS) in a relevant field of study.
At least five years of analytics development expertise, preferably in health care or for a health provider, health plan, or accountable care organization.
Experience or working knowledge in at least one of the following: a healthcare EMR such as Epic/Clarity or aCW; a payer claims system such as Facets or Amisys; or a hospital/provider system such as IDX or Soarian.
PhD, MD, or DO program may be substituted for three years of experience.

Nice To Haves

Master’s degree preferred.
Knowledge of New York State Medicaid and CMS Medicare regulations and related reporting requirements, such as STARS, QARR, MMCOR, MEDS, RAPS, and HEDIS.
Experience in a health plan or in consulting actuarial, financial reporting, or medical economics departments.
Experience as a nurse informaticist.
Experience in healthcare provider analytics related to revenue modeling, managed care contracting, population management, case management, or clinical or financial decision reporting.

Responsibilities

Analyze requests using information technology, enrollment, claims, pharmacy, clinical, contract, medical management, financial, administrative, and other corporate data from modeled and disparate internal and external sources.
Work with departmental staff to identify requirements for reporting and business intelligence tools.
Identify necessary data, sources, and methodologies; collect, organize, integrate, analyze, and interpret data.
Use advanced statistical analysis methods to develop recommendations and conclusions for stakeholders.
Identify and address expected and unforeseen data complexities, mitigate their impact on analytic outcomes and business decisions, improve data quality where possible, and report data quality issues to IT or data stewards.
Develop and present reports, analyses, and findings to senior management and others as requested or scheduled.
Support one or more stakeholder groups: Contracting and Commercialization, Care Management, Medical Directors, Quality and Documentation, or IT/High Performance Computing.
Serve proactively as a liaison and analyst for internal stakeholders, translating their needs into reporting and analytic solutions.
Communicate with stakeholders and customers, and ensure requests are triaged, recorded, and tracked.
Follow corporate standards for performance metrics, data collection, data integrity, query design, and reporting format.
Identify and understand internal and external data for competitive, scenario, and performance analyses and financial modeling that inform member and provider insights and business opportunities.
Work with IT to improve Mount Sinai’s integrated data warehouse in response to strategic and business needs and to support consistent data and reporting.
Develop and maintain project work plans, track and report progress, and keep stakeholders informed of project status and completion implications.
Provide technical support to data analytics functions and expertise in selecting, developing, and implementing reporting and BI tools; create BI reports and interactive dashboards as needed.
Prepare clear project documentation describing analytic methods, key decision points, and caveats in sufficient detail to support understanding and replication.
Train customers to use self-service BI tools and dashboards.
Mentor Level I Analysts and teach organizational staff to define process and performance measures, develop BI queries, and generate and use management reports.
Share development and process knowledge with other analysts to support redundancy and strengthen analytical capabilities.
Apply advanced process-improvement principles and methodologies in carrying out responsibilities.
Perform other duties as assigned.