Senior Business Intelligence Engineer - Work at Home

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 create intelligence through analytics, utilizing data to provide clarity and actionable insights for our Specialty Pharmacy. If you enjoy writing code, analyzing data, and communicating insights to non-technical stakeholders, this is an opportunity for you!

Responsibilities

The Senior Business Intelligence Engineer is a key business partner within Humana's Pharmacy Analytics and Consulting (PAC) team. The individual in this high-profile position will leverage SQL, SAS, Power BI, and other technologies to gather, explore, analyze, and present data, in order to create insightful and actionable business insights.

This is an opportunity to collaborate with key Pharmacy decision makers and PAC colleagues to solve challenges, optimize revenue growth strategies, and establish sales goals through analytics. You will use your expertise in working with large data sets, exploring detailed analytics, identifying and forecasting growth opportunities, presenting visual insights, and consulting with stakeholders to evaluate performance and drive results in our CenterWell Specialty Pharmacy.

Required Qualifications

• Strategic thinker and skilled communicator, comfortable presenting and advising senior leaders
• Collaborative and team-oriented, while able to work autonomously
• Bachelor's degree and 3+ years of technical/analytical experience, or equivalent experience in a data- or analytics-oriented role
• Advanced experience in SAS, SQL, and Power BI (or similar technologies), including work with complex data sets
• Demonstrated ability analyzing and forecasting data to solve a wide variety of business problems
• Must be passionate about contributing to an organization focused on continuous improvement

Preferred Qualifications

• Advanced Degree in a quantitative discipline, analytics, or business administration
• Six Sigma certification
• Background in data mining, predictive modeling, simulation, and/or project management
• Experience creating analytics solutions in various healthcare settings

Scheduled Weekly Hours

40