Extract data from multiple disparate sources using state of the art methods and technology.
Assist in data preparation to create advanced statistical analyses and predictive models.
Process, cleanse, and verify the integrity of data used for advanced statistical analyses and predictive models.
Build analytic capabilities and predictive modeling using statistical techniques to resolve organizational challenges and uncover critical human capital insights.
Select features, build and optimize classifiers using machine learning techniques.
Collaborate with team members and managers to understand organizational needs and assist in development of advanced analytical solutions and plans.
Utilize statistical discoveries to assist in the creation of meaningful presentations, infographics, and white papers that tell a "story" focused on statistical insights, not just data.
Stay up to date with regards to latest advanced analytical and machine learning technologies.
Assist in the development of data visualizations that provide deeper workforce insight for senior leadership.
Support automation efforts to embed analytics into repeatable, production-oriented processes that can be incorporated into the organization’s workflow.
This document is not an exhaustive list of all responsibilities, skills, duties, requirements, or working conditions associated with the job. Employees may be required to perform other job-related duties as required by their supervisor, subject to reasonable accommodation.
Education
Bachelors degree required; preferred areas of study Data Analytics, Computer Science, Statistics, Mathematics
Work Experience
3 years of related experience required:
Experience using R, Python or SAS for data analytics
Machine Learning Exp
Familiarity with data visualization techniques & tools
Basic understanding of relational databases & relationships between tables
Experience delivering concise, actionable presentations and recommendations to key stakeholders
3 years of related experience preferred:
Experience designing, building and optimizing statistical models
Skills
Hard/Tech/Clinical Skills:
Knowledge of advanced analytical models and methodologies
Python, R or other relevant languages
Strong problem solving, multitasking and time management skills
Strong organizational skills
Strong written, verbal, and comprehension skills required
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Hospitals and Health Care
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