Data Analyst

Strata Decision Technology is a company focused on providing insights to healthcare providers through data analysis. As a Data Analyst on the Data Science team, you will work with financial, operational, and clinical data to enhance client services and improve efficiency.

Responsibilities

• Applying data mining techniques and statistical analysis to healthcare and financial data across our client base
• Extracting, cleansing, and validating the data used for analyses
• Developing and maintaining automated processes and workflows to improve efficiency and consistency with handling data
• Extending company's data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Working within the data science team to enhance the StrataSphere products
• Providing quality assurance on StrataSphere products and working with data science team to correct errors
• Meeting with clients and other Strata team members to answer their questions about the data or analytics
• Conducting ad-hoc analysis and presenting results in a clean, clear and actionable manner
• Creating analytics in Tableau and Excel and sharing with clients and answering questions
• Creating automated anomaly detection systems and constant tracking of its performance
• Partnering with Data Scientists to assist in advanced modeling

Skills

• 1-3 years' experience using statistical data analysis techniques
• Experience working with large, complex data sets
• Ability to install and configure tools needed for analysis of large data sets
• Strong scripting and programming skills using common data science languages such as R and Python
• Ability to present results of analysis to differing audiences within healthcare on both the financial and clinical side
• Experience working with clients to investigate data challenges and collaborate with clients on solution development
• Experience with data visualization tools, such as Tableau
• Proficiency in using SQL
• Experience with cloud computing services such as AWS, Sagemaker and Snowflake
• Strong applied statistics skills, such as distributions, statistical testing, regression, etc
• An affinity to data science and wants to learn more
• Data-oriented personality
• Ability to travel up to 10%

Benefits

• Discretionary variable pay programs based on role
• Comprehensive benefits package including retirement benefits
• Health and welfare benefits
• Paid time off
• Parental leave
• Life and accident insurance
• Other voluntary and well-being benefits

Company Overview

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