We Are Hiring
This is a remote position but we do have Ascension Studio office locations in St. Louis, Austin, Chicago. Candidates that reside in or have willingness to travel to these locations for select team meetings and collaboration on strategic projects are preferred. We will consider strong qualified candidates from other remote locations as well.
We are looking for a Manager, Data Analytics that will focus on providing statistical consulting and advanced analytics support for nursing, patient safety, and consumer experience.
#ADSI
What You Will Do
We are looking for a Manager, Data Analytics (Research, Statistics, and Advanced Analytics) that will primarily focus on providing statistical consulting, research design and advanced analytics support for nursing and patient safety research publications. There will be a heavy focus on writing the methodology sections of research publications along with applying mathematics and statistics to solving healthcare problems in human behavior, medical sciences, behavioral sciences, associate or patient experience, education, business, clinical care operations, performance improvement, and process optimization.
Job Summary:
Manages and coordinates data analytic activities associated with organizing, implementing and meeting departmental goals.
Responsibilities:

• Engages in strategic planning and tactical implementation of data analytic activities. Consults leadership on the development of Data Analytics strategy for the organization and develops analytical models and support tools across functions of the organization.
• Oversees the preparation of departmental reports and analyses. Establishes departmental metrics to support project goals and develops improvement plans.
• Communicates findings and recommendations to senior level management across different departments.
• Manages activities related to staffing, including hiring, orienting, evaluating, disciplinary actions, and continuing education initiatives.
• Leads a team to develop prescriptive, predictive, and inferential analytical tools to drive organizational efficiencies and sustainability, improve decision making, and further analytical service offering to internal and external customers.

What You Will Need
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 required.
• 5 years of experience preferred.
• 1 year of leadership or management experience preferred.

Additional Preferences
Degree in Statistics, Biostatistics, Psychometrics, Educational Measurement; Mathematics, Data Science, Industrial Engineering, Operations Research or other related fields with heavy focus on advanced statistical methods strongly preferred.
Preferred Skills:

• PhD degree is strongly preferred
• Statistical consulting experience is strongly preferred
• Advanced knowledge or expertise in study design principles
• Advanced knowledge of statistics and basic understanding of control charts is strongly preferred
• Experience writing the methodology sections of research publications in academic or industry settings strongly preferred
• Experience with conducting research in human behavior, medical sciences, behavioral sciences, associate or patient experience, education, business, clinical care operations, performance improvement, process optimization and/or healthcare preferred
• Advanced modeling and statistical knowledge one or more of the following areas: multivariate analysis, logistic regression, poisson and negative binomial regression, experimental design, structural equation modeling, principal component analysis, educational measurement, psychometrics, factor analysis, mathematical modeling, simulation, operations research, optimization
• Scripting language experience in Python, R and SQL
• Knowledge of and some experience with Google Cloud Platform preferred
• Knowledge of and some experience with business intelligence and data visualization tools
• Text mining and natural language processing knowledge is a plus
• Knowledge of machine learning algorithms and techniques: Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, SVMs, Time Series, KMeans, Clustering, NMF)
• Consulting experience with external clients or internal stakeholders
• Presentation and storytelling skills

Why Join Our Team
When you join Ascension, you join a team of over 150,000 individuals across the country committed to a Mission of serving others and providing compassionate, personalized care to all. Our inclusive culture, continuing education programs, career coaches and benefit offerings are just a few of the resources and tools that team members can use to create a rewarding career path. In fact, Ascension spent nearly $46 million in tuition assistance alone to support associate growth and development. If you are looking for a career where you can grow and make a difference in your community, we invite you to join our team today.
Equal Employment Opportunity Employer
Ascension is an equal opportunity employer (EEO) and affords equal opportunity to all associates and applicants without regard to race, color, religion, national origin, citizenship, gender identity, sexual orientation, age, physical or mental disability, veteran status, genetic data, or other legally protected status.
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