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.