Data Analyst Advisor

Description:

Bachelor’s degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or finance plus 7 years of experience in the job offered or 7 years of equivalent work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation development and/or predictive analytics. The employer will alternatively accept a Master’s degree in degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or finance plus 5 years of experience in the job offered or 5 years of equivalent work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation development and/or predictive analytics in lieu of a Bachelor's degree plus 7 years of experience. The position requires experience with: Superior analytical skills with diverse analytics and statistical software and applications. Excellent interpersonal skills, written and oral communication Skills. Proven leadership skills. Proficient at programming languages including SQL, Python, R, VBS, SAS, and JavaScript. Proficient with Alteryx, Dataiku, Tableau, Power BI, MS Azure, Databricks, and Power Automate; SME level for RPA development (Automation Anywhere). Front end development of web applications using JavaScript, CSS, and HTML; Continuous integration/development of DevOps; Database warehousing, database systems, and cloud computing; Data pipelines (ETL); and Machine Learning skills. Position can telecommute from home from any location in the U.S.