Business Intelligence Engineer 2- Care Delivery Organization - Work at Home

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Description

 

The Care Delivery Organization, is a division of Humana Inc., which operates a network of more than 45 wholly-owned practices throughout the United States. Our team of professionals understands that senior care requires extended visits to allow the patient to speak with their doctor and share their history and unique health goals. As a company whose primary focus is on the well-being of its members, Humana is dedicated to shifting perceptions of the health insurance industry. We believe our role is that of a “well-being partner” who will empower consumers to live a life that’s healthy, active and rewarding.
Partners in Primary Care and FPG align to Humana’s Care Delivery Organization (CDO). We currently own 40+ clinics with expansion underway for 2020.

The Business Intelligence Engineer 2 solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Business Intelligence Engineer 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

 

Responsibilities

 

The Business Intelligence Engineer 2 describes the tools, technologies, applications and practices used to collect, integrate, analyze, and present an organization's raw data in order to create insightful and actionable business information. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures.

               

Required Qualifications

  • Bachelor's Degree or equivalent experience
  • Previous technical experience in data analysis ( SQL)
  • Comprehensive knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint
  • Experience in assessing complex data sets and performing root cause analysis
  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences

 

Preferred Qualifications

  •  Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
  • 2 or more years of experience in SQL, SAS or other data systems
  • 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

 

Interview Format:
As part of our hiring process for this opportunity, we will be using an exciting interviewing technology called Modern Hire Voice to enhance our hiring and decision-making ability. Montage Voice allows us to quickly connect and gain valuable information for you pertaining to your relevant skills and experience at a time that is best for your schedule.
 
If you are selected for a first round interview, you will receive an email correspondence inviting you to participate in a Modern Hire Voice interview.  In this interview, you will listen to a set of interview questions over your phone and you will provide recorded responses to each question. You should anticipate this interview to take about 15 minutes. Your recorded interview will be reviewed and you will subsequently be informed if you will be moving forward to next round of interviews.

Alert:  Humana values personal identity protection.  Please be aware that applicants selected for leader review may be asked to provide a social security number, if it is not already on file.  When required, an email will be sent from [email protected] with instructions to add the information into the application at Humana’s secure website.  

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Location

Our bright, brand new, open-concept offices are located in the bustling Seaport district surrounded by like-minded high-tech and start-up companies.

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