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

Mount Sinai Health System•New York, NY

About The Position

The Data Science Analyst II collaborates with stakeholders across the organization to develop sophisticated analytics, reporting, and business intelligence (BI) solutions that support strategic planning, decision-making, goal setting, and performance measurement. The role requires advanced understanding of the healthcare domain, technical data manipulation, and analytic development, with work intended to benefit the Mount Sinai Health System patient community. The analyst works with internal and external data to identify requirements, select appropriate data and methodologies, collect and interpret information, apply advanced statistical methods, address data complexities, and improve data quality. The role serves one or more stakeholder groups, including Contracting and Commercialization, Care Management, Medical Directors, Quality and Documentation, and I.T./High Performance Computing. It also supports BI tool development, project planning and tracking, stakeholder communication, documentation, customer training, and mentorship of Level I Analysts.

Requirements

A minimum of a BA or BS degree in a relevant field of study.
At least 5 years of analytics development experience, preferably in healthcare 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.

Nice To Haves

A master's degree is 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 data requests using internal and external information technology, enrollment, claims, pharmacy, clinical, contract, medical management, financial, administrative, and other corporate data.
Work with departmental staff to identify requirements for reporting and business intelligence tools.
Identify the necessary data, data sources, and methodologies.
Collect, organize, integrate, analyze, and interpret data.
Apply advanced statistical analysis methods to produce recommendations and conclusions for stakeholders.
Identify and address expected and unforeseen data complexities that may affect analytic outcomes and related business decisions.
Improve data quality within analytical models where possible and communicate 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 stakeholder groups in contract modeling and forecasting, care management and risk stratification, medical utilization analysis, quality and documentation opportunities, or I.T./High Performance Computing projects.
Act 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, performance, and financial analyses.
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 progress, and keep stakeholders informed of project status and completion implications.
Provide technical support for data analytics across business units and expertise in selecting, developing, and implementing reporting and BI tools.
Create BI reports and interactive dashboards as required.
Prepare clear project documentation describing analytic methods, key decision points, and caveats in sufficient detail to support comprehension and replication.
Train customers to use self-service BI tools and dashboards.
Mentor Level I Analysts and teach others to define process and performance measures, develop BI queries, and generate and use management reports.
Share development and process knowledge with other analysts to promote redundancy and strengthen organizational analytics capabilities.
Apply advanced process-improvement principles and methodologies in support of a process-focused approach.
Perform other duties as assigned.