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 Mount Sinai Health System to develop advanced analytics, reporting, and business intelligence solutions that support strategic planning, decision-making, goal setting, and performance measurement. The role requires an advanced understanding of healthcare, data manipulation, and analytic development, with work that impacts the patient community. The analyst serves as a liaison for internal stakeholders, translating their needs into reporting and analytic solutions. Depending on assigned stakeholder groups, the work may support contracting and commercialization, care management, medical directors, quality and documentation, or IT and high-performance computing. The role also supports the health system’s integrated data warehouse, develops reports and dashboards, documents analytic methods, trains users in self-service BI tools, and mentors less experienced analysts.

Requirements

Bachelor’s degree (BA or BS) in a relevant field of study.
At least 5 years of analytics development expertise, 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.
Advanced understanding of healthcare, technical data manipulation, and analytic development.
PhD, MD, or DO program may substitute 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 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 define requirements for reporting and business intelligence tools.
Identify required data, data sources, and methodologies; collect, organize, integrate, analyze, and interpret data.
Apply advanced statistical analysis to develop recommendations and conclusions for stakeholders.
Identify and address data complexities, 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 stakeholder groups including contracting and commercialization, care management, medical directors, quality and documentation, and IT/high-performance computing.
Act as a proactive 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 formats.
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 support consistent data and reporting.
Develop and maintain project work plans, track progress, and communicate project status and completion implications to stakeholders.
Provide technical support and expertise in selecting, developing, and implementing reporting and BI tools; create reports and interactive dashboards as required.
Prepare 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 colleagues to define measures, develop BI queries, and use management reports effectively.
Share development and process knowledge with other analysts to build organizational analytic capability.
Apply advanced process improvement principles and methodologies in support of a process-focused approach.
Perform other duties as assigned.