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Description

The Senior Business Intelligence Engineer (Senior Financial Data Analyst) solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Senior Business Intelligence Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

Responsibilities

The Senior Business Intelligence Engineer within Pharmacy Analytics and Consulting helps to solve complex business problems and issues by creating insights for our business partners.  As part of the Pharmacy Analytics and Consulting Financial Analytics team, your responsibilities will primarily involve the following:

  • Work collaboratively to design, build, and maintain Power BI data visualization standards for our business partners
  • Work collaboratively to optimally apply data warehouse, BI architecture, data science and visualization tools and techniques (i.e. dashboards)
  • Utilize SAS/SQL to analyze pharmacy data to answer leadership questions
  • Communicate insights and analytical findings to a broad range of audiences, including leadership
  • Identify business issues and evaluate solutions with minimal direction
  • Perform actual to expected analyses and explain drivers of variance to leadership

Required Qualifications

  • Bachelor's degree and 5 or more 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, and PowerPoint
  • Advanced experience working with big and complex data sets within large organizations
  • Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction
  • Experience in Power BI for creating data visualizations
  • 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
  • Advanced in SQL, SAS and other data systems
  • Experience in DAX/M languages in Power BI
  • Expertise in data mining, forecasting, simulation, and/or predictive modeling
  • Experience creating analytics solutions for various healthcare sectors

Scheduled Weekly Hours

40



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Our Hiring Process

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Next Step

If selected to continue with the interview process, you will be contacted through text or email to complete an assessment or schedule an initial live or recorded phone or video interview.

A hiring manager interview

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Offer from Humana

If you’ve successfully completed the interview process and are identified as the candidate we would like to hire, you will receive an offer from our Talent Acquisition team.

Onboarding

If you accept the offer to join our Humana team, you will receive a welcome call or email to begin the onboarding process.


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Hiring Process