Business Intelligence Analyst / Data Engineer

GEICO

. Design end-to-end business intelligence solutions, including semantic and metric layers, dimensional data models, reports, dashboards, scorecards, and visual analytics products .

Posted 10/26/2026full-timeUnited StatesMid-LevelSenior💰 $91,225 - $172,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced expertise in designing and optimizing business intelligence solutions using Microsoft Power BI, DAX, and SQL, while effectively translating complex analytical concepts for diverse audiences. Proven ability to lead cross-functional projects, mentor team members, and deliver actionable insights through data visualization and reporting.

Highest-signal resume keywords

Microsoft Power BIDAXSQLSemantic ModelingData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Business Intelligence Solutions DesignDimensional ModelingPower QueryAnalytical TechniquesPerformance TuningReport CertificationData AnalysisComplex Query OptimizationAgile MethodologiesAutomation and Modernization Initiatives

Soft Skills

Analytical SkillsProblem-SolvingOrganizational SkillsCommunication SkillsInterpersonal Skills

Tools & Technologies

Power BI ServiceApache SupersetSnowflakeDeployment PipelinesWorkspacesApps

Industry Keywords

Business IntelligenceData AnalyticsReporting StandardsVisualization StandardsEnterprise Data Platforms

Tech Stack

Tools & technologies

ApacheSQLSnowflake

About the role

Key responsibilities & impact

Design end-to-end business intelligence solutions, including semantic and metric layers, dimensional data models, reports, dashboards, scorecards, and visual analytics products
Develop, maintain, and optimize Power BI semantic models, reports, dashboards, and analytical solutions using DAX, Power Query, and enterprise reporting standards
Apply advanced analytical and statistical techniques to identify trends, performance drivers, customer behaviors, and operational improvement opportunities
Translate descriptive reporting into diagnostic insight and introduce predictive approaches where appropriate
Partner with stakeholders to frame analytical questions, evaluate findings, and translate complex analyses into recommendations
Establish, document, and promote semantic modeling standards, reusable design patterns, visualization standards, and reporting best practices
Support report certification by validating solution quality, consistency, usability, maintainability, performance, documentation, and standards adherence
Publish and support Power BI solutions through Power BI Service, including Workspaces, Apps, Deployment Pipelines, and semantic model refresh processes
Optimize report and semantic model performance, refresh reliability, storage-mode selection, and user experience
Evaluate visualization technologies and select Power BI, Apache Superset, or other appropriate tools
Use Snowflake and other approved enterprise data sources to deliver reporting and analytics solutions
Coordinate with data engineering and technology partners on source data availability and reliability
Document report definitions, calculations, assumptions, semantic models, technical designs, and support procedures
Lead reporting process improvements, automation, migration, and modernization initiatives
Perform testing, validation, deployment, troubleshooting, root cause analysis, performance tuning, and post-implementation support
Participate in agile planning, backlog refinement, estimation, status reporting, and cross-functional delivery coordination
Provide technical guidance through design, DAX, query, and solution reviews
Business Intelligence Analyst IV: Serve as technical lead for complex initiatives, lead cross-team projects, review technical designs, and mentor analysts and developers

Requirements

What you’ll need

Advanced experience designing, developing, deploying, and supporting business intelligence solutions using Microsoft Power BI or comparable enterprise visualization platforms
Strong proficiency with DAX, semantic modeling, dimensional modeling, Power Query, data visualization, and enterprise BI architecture
Experience publishing and supporting Power BI solutions through Workspaces, Apps, Deployment Pipelines, and semantic model refresh processes
Advanced SQL knowledge, including writing, troubleshooting, and optimizing complex queries
Ability to translate complex technical and analytical concepts for technical and non-technical audiences
Strong analytical, quantitative, problem-solving, organizational, communication, and interpersonal skills
Ability to work independently and collaboratively within an agile delivery environment
Ability to manage multiple priorities and deliver reliable solutions with minimal guidance
Business Intelligence Analyst III: 4-7 years of relevant business intelligence, analytics, reporting, semantic modeling, or data visualization experience
Business Intelligence Analyst IV: 7-10 years of relevant business intelligence, analytics, reporting, semantic modeling, or data visualization experience
Experience developing enterprise dashboards, reports, semantic models, and visual analytics solutions
Experience partnering with stakeholders to define business questions, gather requirements, assess findings, and deliver actionable reporting solutions
Experience working with enterprise data platforms and large-scale datasets

Benefits

Comp & perks

Personalized development programs
Mentorship
Certification assistance
Competitive pay
Benefits
Flexibility to support your well-being and future
Employment authorization sponsorship for a new qualified applicant may be considered