Business Intelligence Analyst - 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 Business Intelligence Analyst to help solve business problems, utilizing data to provide clarity and actionable insights to decision-makers. If you enjoy writing code to query data and using your expertise in business intelligence to drive results, this is an opportunity for you!

Responsibilities

As a BI Analyst on Humana's Pharmacy Analytics and Consulting (PAC) team, you will utilize tools like SAS and SQL-based platforms to query large datasets. And you'll leverage technologies like Power BI to explore, analyze, and visualize your data -- utilizing your skills to create insightful, actionable business information for our pharmacy teams.

This position partners closely with our CenterWell Specialty Pharmacy, supporting data and analytic needs to solve challenges, optimize revenue growth strategies, and establish sales goals through analytics. In addition, you'll collaborate with senior associates on the team, handling ad hoc requests and helping business partners form data-driven decisions.

Required Qualifications

• Collaborative and team-oriented, welcomes guidance/coaching while able to work autonomously
• Proficiency in writing SQL and/or SAS code to work with big and complex data sets
• Demonstrated ability analyzing and forecasting data to support business decisions (or equivalent academic experience)
• Comfortable communicating and working with stakeholders
• Bachelor's degree and 2+ years of experience, or equivalent experience in a data- or analytics-oriented role
• Must be passionate about contributing to an organization focused on continuous improvement

Preferred Qualifications

• 3+ years of experience in SQL, SAS or other data systems (Advanced degree in relevant field, such as Business Analytics, will be considered in place of professional experience)
• Experience creating Power BI or Tableau dashboards
• A/B testing, study design, and/or data modelling experience
• Familiarity working with healthcare-related data

Scheduled Weekly Hours

40