**Description**Are you the type of person who is skilled at taking a problem and leveraging data to help solve it? We're looking for a Senior Business Intelligence Engineer to help solve business problems, utilizing data to provide clarity and actionable insights to decision-makers. If you enjoy collaborating and using your expertise in business intelligence to drive results, this is an opportunity for you!**Responsibilities**The Senior Business Intelligence Engineer is a key business partner within Humana's Pharmacy Analytics team. The individual in this high-profile position will utilize tools, technologies, applications and practices to collect, integrate, analyze, and present raw data in order to create insightful and actionable business information. The associate will leverage SQL, SAS, Power BI, and other tools to help business partners form data-driven decisions.This is an opportunity to partner with some of the key decision makers in Humana Pharmacy Solutions to solve challenges and improve member experience. You will use your expertise in working with large data sets to create data visualizations that help the business launch new initiatives, and determine the effectiveness of current initiatives based on Key Performance Indicators.**Required Qualifications**+ Bachelor's degree and 3 - 5 years of technical experience in data analysis OR Master's degree and 3 or more years of experience+ Comprehensive knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint+ Advanced understanding of SQL, SAS and other data systems+ Advanced experience working with big and complex data sets+ Experience with data visualization tools such as Power BI, Tableau and Qlik+ Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction+ Proficiency in understanding Healthcare related data+ Proficiency in verbal and written communication to senior and executive leadership+ Must be passionate about contributing to an organization focused on continuously improving consumer experiences**Preferred Qualifications**+ Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field+ Expertise in data mining, forecasting, simulation, and/or predictive modeling+ Experience creating analytics solutions for various healthcare sectors**#LI-ER1****Scheduled Weekly Hours**40
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