Mount Sinai is one of the largest non-profit health systems in the U.S. with a strong reputation for quality of care and research/education. Our health system has ~40,000 employees working together to provide billions of dollars in high-quality care for millions of patients each year.
We are accelerating a transition to a business model focused on population health management – our goal is to keep entire communities healthy and out of the hospital. Mount Sinai Health Partners (MSHP), the population health division of the Mount Sinai Health System and the Icahn School of Medicine at Mount Sinai, located in the New York Metropolitan area and ranked 5th in Fast Company’s “Top 10 Most Innovative Companies in Big Data” is the team driving this transformation within Mount Sinai. The team includes 400+ employees with clinical, contracting, finance, IT, analytics, operations, and product development expertise.
Mount Sinai Health Partners is realizing this new objective in two ways. First, we engage in value-based contracts with health plans. Using analytical insights, we deploy our clinical programs to improve the health of attributed populations and maximize customer value. Second, we have created a team to assemble our clinical and population health assets into product offerings (e.g., care bundles, worksite health centers, insurance products in partnership with health plans), and sell them to individuals and employers via multiple channels.
MSHP is a fast growing business unit within Mount Sinai and is looking for team members who:
·Are comfortable “playing up” and “playing down” as needed to accomplish business objectives
·Work productively amidst ambiguity
·Thrive in fast-paced work environments
·Seek to improve the status quo
Within MSHP, the Analytics team is a thoughtful and diverse group of data science analysts that have important functional roles throughout our business. Using analytical insights, we deploy our clinical programs to improve the health of attributed populations and maximize customer value. We work hand and hand with the larger clinical and operational team stakeholders and support their efforts. The team blends past experiences from health plans, health systems and public health roles with cutting edge data analytics and machine learning capabilities to deliver exceptional and unique value to our broader business. The frontier ahead includes exciting new tools and data science projects along with transformational business initiatives in a supportive environment and continuous learning culture.
Job Title: Data Science Analyst II - Community Innovation and Partnerships
The Data Science Analyst II – Community Innovation and Partnerships collaborates with both internal and external stakeholders 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, community health, technical data manipulation and analytic development skills and impact the patient community of the Mount Sinai Health System. The incumbent will have the opportunity to use knowledge of program design, data analysis, statistics, economics, health care and delivery, and the social determinants of health (SDH) to generate insights that inform innovative population health solutions
- Analyzes data requests using information technology, enrollment, claims, pharmacy, clinical, and SDH 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 and conclusions that may be communicated to the stakeholder.
- 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.
- Develops and may present reports, analyses and findings to senior management and others as scheduled or requested.
- Responsible for Community health Innovation and Partnerships.
- Supports selection, development, implementation, maintenance and use of SDH data for Mount Sinai Health Partners (MSHP), establishing a process for data extraction and periodic updates of these data.
- Continually advances MSHP’s SDH and community health knowledge base, initiatives and execution.
- Conducts literature reviews, develops financial models and evaluation tracking tools, conducts value and ROI analyses, and summarizes program evaluation findings for a variety of audiences.
- Develops targeted community health analyses in support of grant submissions.
- Performs analyses and leads the evaluation of population health and socioeconomic indicators, informs and supports the design, development, implementation and evaluation of projects and programs, such as health impact assessments and community based participatory research
- Acts as liaison/analyst for internal and external stakeholders, understands their needs and translates them into reporting and analytic solutions
- Effectively communicates with stakeholders, community based organizations (CBOs), and customers and ensures all requests are properly triaged, recorded and tracked. Ability to take on and identify emerging issues in community health innovation and subsequently help define and develop shared metrics for further evaluation of community-based efforts and influence.
- Provides technical expertise to stakeholders (including CBOs) with matters relating to data, which includes: collecting data, extracting data, establishing data systems, identifying areas of improvement, integrating social determinants into health planning measures, defining and articulating program requirements, and identifying and implementing best practices in data analyses and presentation.
- Adheres to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format to ensure high quality, meaningful analytic output.
- 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, risks, and strategies to alleviate risk.
- Provides technical support to data analytics functions as they relate to varied business units, and technical expertise on the selection, development and implementation of various reporting and BI tools tied to business unit reporting requirements. Creates new BI reports and interactive, user-friendly dashboards as required.
- Prepares clear, well-organized project-specific documentation, including, at a minimum, analytic methods used, key decision points and caveats, with appropriate detail to support comprehension and replication.
- Ensures customers are adequately trained to use self-service BI tools and dashboards. Provides follow-up support, as needed and appropriate, to ensure successful deployment and utilization of tools and dashboards.
- Assists and may teach others within the organization on how to a) define meaningful process and performance measures, b) develop BI queries, and c) generate and use management reports effectively.
- Shares development and process knowledge with other analysts in order to assure redundancy and continuously builds a core of analytical strength within the organization.
- Demonstrates proficiency with the principles and methodologies of process improvement. Applies these in the execution of responsibilities in support of a process focused approach
- Other duties as assigned.
Additional Skills and Qualities
- 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.
- Ability to design analytic tools that take the end-user into consideration, ensuring all analytic outputs are user-friendly and interactive.
- Respect for the role and value of community-led initiatives and data.
- Self-motivated 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.