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) is the
team driving this transformation within Mount Sinai. The team includes 400+ employees with
clinical, contracting, finance, IT, analytics, operations, and product
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
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.
MSHP seeks a Data Science Analyst III to collaborate
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. The Data Science Analyst III is a senior
role that demonstrates sound and a more advanced understanding of the
healthcare domain, technical data manipulation and analytic development
skills and impact the patient community of the Mount Sinai Health
System. The role serves as mentor to
others in the Data Science team and takes the lead role in project
will design and implement data-driven insights to enable value-based
contracts and commercial offerings.
You will support the contract lifecycle from initial development and
planning, through pre-sale and implementation, to reconciliation.
planning phase: analyze variance to identify opportunities and risks; develop
pro-forma scenario models of contracts and terms; create reports to guide
negotiations with prospects
implementation: forecast performance results and support client-specific
areas of interest
reconciliation: measure performance of our products across financial, patient
satisfaction, and quality outcomes.
Apply performance evaluation that fulfills contract terms and, when
appropriate, the demands of rigorous outcomes research methodology.
with departmental staff to identify requirements for reporting and / or
business intelligence tools.
necessary data and methodologies; collect, integrate, analyze and interpret
advanced statistical analysis methods to create insightful recommendations
and conclusions that you effectively communicate to your stakeholders.
and address expected and unforeseen data complexities to mitigate their
impact on the analytic outcome and associated business decisions. Clearly
communicate data issues to the recipients and work to improve data quality
where possible within the analytical models you create. Feed data quality
issues back to IT to assist in our quest for high quality data.
and present reports, analyses and findings to senior management and others as
scheduled or requested.
will engage with the MSHP Managed Care Contracting and Commercialization
teams and interface with key leaders in our care management and clinical
as liaison/analyst for internal stakeholders, understand their needs and
translate them into reporting and analytic solutions.
to corporate standards for performance metrics, data collection, data
integrity, query design, and reporting format to ensure high quality,
meaningful analytic output.
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.
and maintains project work plans, including critical tasks, milestones,
timelines, interdependencies and contingencies. Tracks and reports progress. Keeps stakeholders apprised of project
status and implications for completion.
clear, well-organized project-specific documentation, including, at a
minimum, analytic methods used, key decision points and caveats, with
sufficient detail to support comprehension and replication.
customers are adequately trained to use self-service BI tools and dashboards.
level I and II Analysts, and teaches 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.
development and process knowledge with other analysts in order to assure
redundancy and continuously builds a core of analytical strength within the
advanced level proficiency with the principles and methodologies of process
improvement. Applies these in the execution of responsibilities in support of
a process focused approach.
Education and Experience
or BS degree minimum, in a relevant field of study; Master’s degree preferred
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:
- Knowledge of the CMS
Medicare regulations and related reporting requirements, such as STARS, Risk
Adjustment and HEDIS is a strong plus.
- Experience working in a
health plan analytics, actuarial, financial reporting or medical economics
department is a strong plus.
- Data and database
modeling experience is a strong plus.
- Working knowledge of a
health care EMR such as Epic/Clarity, is a plus
- PhD, MD or DO program may
be substituted for three years of experience.
Additional Skills and Qualities
the ability to assure compliance with regulatory, insurance and ethical
standards regarding safety of patients, employees and property. Identifies contingency plans for potential
data mining skills using tools like SQL, R, Python
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.
working knowledge of Business Intelligence products such as Tableau
understanding of ETL tools
analytical, financial and technical skills needed to perform complex analysis
and data modeling using sophisticated report writing and data management
to exercise critical thinking and logical reasoning, and understand the
conceptual framework and database relationships underlying health care data.
to think creatively; demonstrated excellent problem solving skills.
oral and writing skills characterized by the ability to communicate
effectively with varying audiences.
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.
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.
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.
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.