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Job Requirements of Sr. Data Analyst:
QUALIFICATIONS / EXPERIENCE:- Master’s Degree in a quantitative field such as statistics, applied mathematics, economics, business analytics, data analytics, engineering, or computer science or a relevant field of study
- Minimum of one to two (1-2) years of analytics experience, with knowledge and experience in statistical inference, regression, forecasting/predictive analytics, text mining, descriptive analytics, machine learning and data visualization
- Significant programming experience with SQL and Python
- Experience with PowerBI or Tableau for reporting or data visualization
- Experience with modeling large data sets
- Experience with Snowflake and Amazon Sagemaker preferred
- Database management and database structure experience
- 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 Outlook)
- 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
- Team player
- Solution driven and flexible
- Willing to gain expertise in TeamHealth data and the underlying business operations that produce such data
- Healthcare experience preferred
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Sr. Data Analyst
TeamHealth
USA (Remote)
Full-Time
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.
OVERVIEW:
The Senior Data Analyst 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 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, and data exploration and visualization.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Under limited supervision, responsible for multiple analyses and deliverables, while monitoring, summarizing, communicating, and reporting status
- 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
- 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:
- Master’s Degree in a quantitative field such as statistics, applied mathematics, economics, business analytics, data analytics, engineering, or computer science or a relevant field of study
- Minimum of one to two (1-2) years of analytics experience, with knowledge and experience in statistical inference, regression, forecasting/predictive analytics, text mining, descriptive analytics, machine learning and data visualization
- Significant programming experience with SQL and Python
- Experience with PowerBI or Tableau for reporting or data visualization
- Experience with modeling large data sets
- Experience with Snowflake and Amazon Sagemaker preferred
- Database management and database structure experience
- 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 Outlook)
- 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
- Team player
- Solution driven and flexible
- Willing to gain expertise in TeamHealth data and the underlying business operations that produce such data
- Healthcare experience preferred
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