Job Responsibilities

Key Responsibilities:

Work independently with business leaders in the Health Equity team to scope and conduct analyses that help the organization understand and monitor performance, break down key drivers, and identify new opportunities
Guide clinical and business teams through metric development to ensure conducted analyses help answer the question at hand
Develop technical solutions to workflow-issues such as the utilization of data-collection tools and the development of worklists
Lead analytic projects such as segmenting our patients by health and social needs or data validation workstreams
Act as technical and analytic expert for the Health Equity team
Create reports and dashboards that effectively communicate performance to operational and clinical leaders and stakeholders
Translate complex analysis into simple visualizations that can communicate key takeaways to leaders and stakeholders
Understand health system data sources and support data architecture team to ensure that data is clean, normalized, and accurate
Establish credibility and trust in data integrity and accuracy across internal and external stakeholders
Present analyses to senior leaders and multiple stakeholders
Collaborate across the health system to ensure that assumptions and methodologies are consistent
Manage multiple projects and analyses simultaneously while meeting key deadlines and deliverables, and prioritizing time and resources
Identify and elevate key obstacles for intervention that may jeopardize timelines

Requirements

Education:

Bachelor’s degree, preference for concentration in economics, math, physics, computer science, data science
Master’s degree in a related field (Economics, Computer Science, Statistics, Mathematics, Data Science, Social Science, Public Health), preferred

Certificates, Licenses, Registrations Required:

Experience:

Two to four years of data analytics experience with progressive responsibility, working with large data sets to answer important clinical, operational, or business questions
Preference for experience working with healthcare data, including claims and electronic medical records
Experience working with data from Epic preferred; Clarity certification a plus
Prior Quality Improvement experience a plus.
Ability to query internal and external data sources using SQL required. Experience with Python or R a plus.
Ability to create digestible reports using Excel or Business Intelligence software required. Experience with Tableau a plus.

The Ideal Candidate:

We are seeking a top performing analyst to help us build a high performing analytic team that will find answers to difficult question across large and complex data sets.

The ideal candidate will be:

Technically proficient: Capable of extracting data, manipulating large data sets, cleaning and normalizing data, generating analysis and working through challenges independently
Strong analytic thinking: Effective at identifying the critical question, capable of navigating the trade-offs between accuracy / comprehensiveness / complexity vs. speed and simplicity, able to make independent decisions on how to adjust assumptions and analyses, can distill complex analysis into simple charts to communicate key takeaways
Interest in building up advanced modelling / data science skills to proactively identify opportunities and possible solutions
Curious and creative: Capable of finding the right analytic approach, always asking questions and testing the data and analysis to ensure that we are answering the right key questions
Outcomes-focused: Ability to manage multiple high priority projects simultaneously and prioritize to meet key projects
Passionate about our mission: Highest level of integrity and respect for colleagues and for our mission to provide Exceptional Care Without Exception to our patients and members

Equal Opportunity Employer/Disabled/Veterans

Negotiable

N/A