Remote, United States
5 hours ago
Senior Analyst - Virtual & On-Demand Care Model Analytics
Details Department:  Ascension Data Science InstituteSchedule: Full-time, 8 hour day shift, Monday - FridayLocation: RemoteSalary: $82,825.00 - $115,453.00 per year
Benefits Comprehensive health coverage: medical, dental, vision, prescription coverage and HSA/FSA optionsFinancial security & retirement: employer-matched 403(b), planning and hardship resources, disability and life insurance Time to recharge: pro-rated paid time off (PTO) and holidaysCareer growth: Ascension-paid tuition (Vocare), reimbursement, ongoing professional development and online learningEmotional well-being: Employee Assistance Program, counseling and peer support, spiritual care and stress management resourcesFamily support: parental leave, adoption assistance and family benefitsOther benefits: optional legal and pet insurance, transportation savings and more

Benefit options and eligibility vary by position, scheduled hours and location. Benefits are subject to change at any time. Your recruiter will provide the most up-to-date details during the hiring process.


Responsibilities

The Ascension Data Sciences Institute (ADSI) was created in July 2019 with the mission of supporting Ascension in achieving its Quadruple Aim with uniquely skilled, high-performing associates who develop analyses, models, and applications to enable Ascension in providing higher value healthcare and making strategic decisions. We recognize that the healthcare environment is a complex ecosystem of rapidly evolving clinical and economic practices that affect patient and provider experience and demands increasingly sophisticated and complex measurement.  Our objective is for analytics and data science to play a critical and foundational role in the transformation of care delivery, quality and financial outcomes to enable our organization’s competitive advantage.  

 

We are hiring a Senior Analyst - Virtual & On-Demand Care Model Analytics, within our Clinical Transformation team in ADSI, to support Ascension’s goal to differentiate ourselves on patient quality and innovation. Clinical Transformation is a rapidly growing division of the company working to leverage health technologies that include AI, wearables, virtual care, personalized patient messaging, and remote patient monitoring - with our team leading analytic efforts around these programs. In this position, you will be responsible for supporting our newly established Care Model Transformation vertical, focused on the expansion of virtual and on-demand care offerings in both acute and primary care settings. You will be integrated within a multi-disciplinary group of analysts, data scientists, developers, engineers, and medical professionals, supporting the rapid development, monitoring, reporting, and scaling of these digital programs.

 

As an ideal candidate, you will bring strong technical expertise in data processing, reporting pipelines, and metric development, as well as data exploration, visualization, and quality control. Experience in clinical care settings and/or virtual care or telehealth/telemedicine technology are pluses. To be successful, you will need to have strong SQL skills, natural curiosity and eagerness to learn, and enjoy working in a high-performing team.

Responsibilities:

Support virtual care analytics, including provider, patient, and business outcome metrics as well as implementation & expansion reportingDevelop and build key performance indicators in partnership with clinical stakeholdersBuild and monitor data processing pipelines, working closely with data engineering and other technical teams to manage the data infrastructure needed to evaluate and scale programsBuild reporting dashboards that deliver on clinical and business stakeholder requirements, including documentation of data elements and metricsSupport ad hoc analytic requests and communicate findings to stakeholders to provide data-driven insights and guidance

Work Experience:

3-5 years of relevant experience requiredStrong SQL skills are required (Please note, the interview process will include a SQL assessment.)Experience working with EHR, medical billing and coding, claims, and/or other healthcare data is preferredExperience in clinical care settings and/or virtual care or telehealth/telemedicine technology is desirable Experience with Google Cloud Platform, Tableau, Looker, and/or Salesforce is desirable 

Opportunities:

This role directly supports an innovative and research-focused team, there are opportunities to contribute to research design and scientific publication(s) on program effectiveness and patient outcomes
Requirements

Education:

High school diploma/GED with 2 years of experience, or Associate's degree, or Bachelor's degree required.

Work Experience:

3 years of experience preferred.
Additional Preferences

No additional preferences.

 

#ADSI #LI-remote #internalops


Why Join Our Team

Ascension is a leading nonprofit Catholic health system with a culture and associate experience grounded in service, growth, care and connection. We empower our 99,000+ associates to bring their skills and expertise every day to reimagining healthcare, together. Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold Employer, you’ll find an inclusive and supportive environment where your contributions truly matter.


Equal Employment Opportunity Employer

Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws. For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.

 

Fraud prevention notice

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