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Business Intelligence Engineers on the Provider Intelligence and Claims Analytics (PICA) team solve complex business problems and issues using data from internal and external sources to provide insights to decision-makers. The Business Intelligence Engineer’s work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

About Our Team

The Provider Intelligence and Claims Analytics (PICA) team is a blend of experts and leaders in various fields of data, analysis, and process improvement, leveraging each other’s strengths to take our stakeholders to the next level of business intelligence capabilities. We are a focused, agile, rapid-delivery, full-service analytics consultancy that solves big problems with big impact within the Provider domain.

The PICA team provides clarity, insight and transparency to our business partners through consultative engagements that leverage analytics, technology and reporting.

The Business Intelligence Engineer will use a variety of tools, technologies, applications and best practices to collect, integrate and analyze an organization's raw data in order to create and present insightful and actionable business information. BI Engineers are expected to understand department, segment, and organizational strategy and operating objectives, including their linkages to related areas. BI Engineers make decisions regarding own work methods, occasionally in ambiguous situations, and should only require minimal direction and guidance while following established guidelines/procedures.

• Works directly with market and corporate executives and their teams, helping them leverage data and technology to maximize business impact
• Assesses business processes and recommends improvements
• Partners with business teams and analytics/technology professionals to identify data and technology related needs
• Creates repeatable, automated ETL packages
• Writes queries to pull/summarize/analyze data from various data sets and platforms
• Analyzes data and creates visualizations to derive insights
• Provides consultation to business teams related to processes, data, and technology

Humana offers a variety of benefits to promote the best health and well-being of our employees and their families. We design competitive and flexible packages to give our employees a sense of financial security—both today and in the future, including:

• Health benefits effective day 1
• Paid time off, holidays, volunteer time and jury duty pay
• Recognition pay
• 401(k) retirement savings plan with employer match
• Tuition assistance
• Scholarships for eligible dependents
• Parental and caregiver leave
• Employee charity matching program
• Network Resource Groups (NRGs)
• Career development opportunities

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Required Qualifications

• Bachelor's Degree
• 2+ years of technical experience in data analysis utilizing SQL, SAS, R, or Python
• Working knowledge of PowerApps and PowerBI
• Comprehensive knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint
• Expertise in assessing complex data sets and performing root cause analysis

Preferred Qualifications

• Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
• Working knowledge of Power Automate
• In-depth experience in Microsoft Excel including formulas, pivots, charts, graphs, etc.
• Experience with data mining and predictive modeling techniques
• Ability to use data to drive business outcomes and decisions

Additional Information

This role is "remote/work at home" and can be based anywhere in the United States.

Work at Home Information

To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:

• At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested
• Satellite, cellular and microwave connection can be used only if approved by leadership
• Employees who live and work