Data Analyst III

📋 Description

• Prepare, clean, validate, and transform data from multiple sources to support advanced analytical
• Conduct complex statistical analyses to identify meaningful trends, patterns, variances, outliers
• Apply statistical modeling, predictive analytics, and machine learning techniques to generate
• Develop and implement predictive models to forecast trends and enable proactive planning.
• Design and implement statistically sound sampling methodologies for analytical and investigative
• Develop code to join and manipulate multiple relational database tables required for complex

🎯 Requirements

• Bachelor's degree in a relevant discipline is required, with equivalent professional experience
• 2-4 years of relevant professional experience required, with 5-7 years preferred.
• Demonstrated experience performing advanced data analysis, statistical modeling, predictive
• Strong proficiency with data analysis and programming tools such as SAS, SQL, Excel, R, Python
• Experience preparing, cleaning, transforming, and analyzing complex datasets.
• Strong SQL and relational database skills, including the ability to join and manipulate data across

🎁 Benefits

• Competitive compensation based on experience and qualifications.
• Opportunity to work on meaningful healthcare and human services analytics initiatives.
• Exposure to advanced statistical analysis, predictive modeling, machine learning, and data
• Opportunity to work with tools including SAS, SQL, Excel, R, Python, and Tableau.
• Collaborative, cross-functional working environment.
• High degree of ownership over analytical projects and priorities.