Business Intelligence Engineer

CenterWell Senior Primary Care

Business Intelligence Engineer utilizing data analysis to solve complex business problems. Collaborating across teams to provide insights for improved decision-making and performance.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $66,800 - $91,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, including root cause analysis and predictive modeling techniques, while effectively utilizing Microsoft Office Applications and SQL. Capable of interpreting complex data sets to provide actionable insights that enhance consumer experiences.

Highest-signal resume keywords

Data AnalysisRoot Cause AnalysisSQLMicrosoft ExcelPredictive Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisRoot Cause AnalysisSQLSASData MiningPredictive ModelingMicrosoft ExcelFormulasPivotsCharts

Soft Skills

Problem SolvingIndependent Decision MakingAdaptability

Tools & Technologies

Microsoft Office ApplicationsExcelAccessPowerPoint

Industry Keywords

Data IntegrationBusiness InsightConsumer ExperienceQuantitative Discipline

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Bachelor's Degree
Less than 5 years of technical experience in data analysis
Comprehensive knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint
Expertise in assessing complex data sets and performing root cause analysis
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field (Preferred)
1 or more years of experience in SQL, SAS or other data systems (Preferred)
In-depth experience in Microsoft Excel including formulas, pivots, charts, graphs, etc. (Preferred)
Experience with data mining and predictive modeling techniques (Preferred)

Benefits

Comp & perks

medical, dental and vision benefits
401(k) retirement savings plan
time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
short-term and long-term disability
life insurance and many other opportunities