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Sr. Data Analyst / Data Scientist in Remote Anywhere in the U.S. at TeamHealth

Date Posted: 4/4/2024

Job Snapshot

Job Description

TeamHealth is named among the Top 150 Places to Work in Healthcare by Becker's Hospital Review. Newsweek Magazine recognizes TeamHealth ‘as one of the greatest workplaces for diversity, 2024’ and TeamHealth is also ranked as ‘The World’s Most Admired Companies’ by Fortune Magazine. TeamHealth, an established healthcare organization is physician-led and patient focused. We continue to grow across the U.S. from our Clinicians to Corporate Employees. Join us.

THIS POSITION IS REMOTE ANYWHERE IN THE U.S.

OVERVIEW:

The Senior Data Analyst/Data Scientist is responsible for projects and deliverables related to clinical and operational analysis, reporting, and distribution.  Data analysis, modeling and reporting will encompass areas of healthcare delivery and operations in TeamHealth service lines. Consumers of the analyses and information will include the CMIO, Senior Executive Leadership and organizational Operational Leadership.

The Senior Data Analyst/Data Scientist will use multiple programming languages and tools to support data discovery, analytics, modeling, reporting and visualization across large data sets.  They will be expected to be familiar with statistical inference, predictive modeling, prescriptive modeling and supervised and unsupervised machine learning techniques.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Under limited supervision, responsible for multiple analyses and deliverables, while monitoring, summarizing, communicating, and reporting status
  • Takes analysis and reporting tasks from original concept through final implementation. Develops all aspects of these tasks including a detailed plan, schedule, and distribution methodology. Responsible for assembling necessary external stakeholders, including business owners, database stewards and application owners to ensure that appropriate resources and needs have been identified to achieve the analyses on the necessary timeline
  • Able to work closely with data engineers, database owners, application owners and executive sponsors to ensure that development of new databases, reporting marts, and data infrastructure will support ongoing scaled analytics and reporting requirements
  • Responsible for creating, maintaining and deploying standard reporting and machine learning models using enterprise tools
  • Works closely with system engineers, database owners, application owners and executive sponsors to ensure that analytics and reporting requirements are met
  • Works closely with business and operations units to understand and meet reporting and information needs
  • Develops and contributes ideas and opinions about collecting relevant data, analyzing data, and developing presentations to present to management. Understands underlying business operations, data, data capture processes, and system integration to ensure that analyses and reports are correctly advising the organization, and accounts for data and/or workflow limitations
  • Produces models, analytics, dashboards and reports within the framework of the CMIO | CMO data/analytics processes and the CMO Center of Excellence (CoE); including exploratory data analysis, descriptive analysis and statistics, and using statistical inference, predictive modeling, prescriptive modeling and supervised and unsupervised machine learning techniques as appropriate
  • Gains understanding of TeamHealth proprietary and enterprise systems. Aids in the enhancement of current systems and implementation of new systems for the company
  • May lead a team of 1-3 additional analysts on specific reporting and analytic projects
  • Handles other duties as assigned by management

 

 

Job Requirements

QUALIFICATIONS / EXPERIENCE:

  • Masters Degree in a quantitative field such as engineering, computer science, statistics, applied mathematics, economics, business analytics or data analytics or a relevant field of study
  • Minimum of five (5) years of analytics experience, with superior knowledge and experience in statistical inference, forecasting/predictive analytics, descriptive analytics, machine learning and data visualization. Significant experience in machine learning, clustering and classification algorithms.  Expertise in ordinary least squares regression, logistic regression, Poisson and negative binomial models
  • Significant experience with Power BI for report creation, report distribution, and administration
  • Significant experience with modeling large data sets
  • Experience with Snowflake and Amazon Sagemaker preferred
  • Database management and database structure experience
  • Programming experience with SQL and Python, as well as other common programming languages used in analytics (R, Java, or similar)
  • Detailed experience in data acquisition/queries for multiple database and file types, data cleaning, aggregation, and data quality assessment
  • Excellent computer skills (Excel, Word, PowerPoint, and Visio)
  • Superior communication skills – verbal, written, presentation and negotiation skills
  • Strong organizational and analytical skills
  • Patience and ability to excel under pressure, handling multiple requests often with tight deadlines
  • Resourcefulness, ingenuity, strong decision making and problem solving skills
  • Leadership, teamwork and the ability to develop others
  • Solution driven and flexible in interpersonal style
  • Willing to gain expertise in TeamHealth data and the underlying business operations that produce such data
  • Healthcare experience preferred

 

 

 

 

 

 

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