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Business Intelligence Engineer

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: HireTalent
Full Time position
Listed on 2026-01-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Business Intelligence Engineer 3

Job Description

The Senior Business Intelligence Engineer 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.

The Senior Business Intelligence Engineer 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. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

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, Access and Power Point
  • 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
  • Proficiency in understanding Healthcare related data
  • Proficiency in verbal and written communication to senior and executive Professional 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 with tools such as Tableau and Qlik for creating data visualizations
  • Expertise in data mining, forecasting, simulation, and/or predictive modeling
  • Experience creating analytics solutions for various healthcare sectors

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.

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