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-timeRemote • United StatesMid-LevelSenior💰 $109,675 - $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, including proficiency in DAX, semantic modeling, and data visualization. Capable of translating complex analytical concepts for diverse audiences while managing multiple priorities in an agile environment.

Highest-signal resume keywords

Microsoft Power BIDAXSemantic ModelingAdvanced SQLBusiness Intelligence Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data VisualizationDimensional ModelingPower QueryAnalytical TechniquesPerformance TuningRoot Cause AnalysisReport CertificationAgile MethodologiesAutomationMigration

Soft Skills

Analytical SkillsProblem-SolvingOrganizational SkillsCommunication SkillsInterpersonal Skills

Tools & Technologies

Power BI ServiceSnowflakeApache SupersetAzure DevOpsMicrosoft FabricGit-based Version ControlAI-assisted Development ToolsDeployment PipelinesWorkspacesApps

Certifications & Qualifications

Microsoft Certified: Power BI Data Analyst Associate (PL-300)Microsoft Power BI Administration Certification

Industry Keywords

Business IntelligenceEnterprise Data PlatformsLarge-scale DatasetsReporting SolutionsVisualization Standards

Tech Stack

Tools & technologies

AirflowApacheAzurePythonSQLSnowflake

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 and Power Query
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, technology teams, and data engineering partners to frame analytical questions and deliver scalable reporting solutions
Establish and promote semantic modeling standards, reusable design patterns, visualization standards, and reporting best practices
Support report certification and validate solution quality, usability, maintainability, performance, documentation, and standards adherence
Publish and support Power BI solutions through Power BI Service, including Workspaces, Apps, Deployment Pipelines, and refresh processes
Optimize report and semantic model performance, refresh reliability, storage modes, and user experience
Evaluate Power BI, Apache Superset, and other visualization technologies based on business needs
Use Snowflake and approved enterprise data sources for reporting and analytics
Coordinate with data engineering and technology partners to ensure source data is reliable and usable
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
For Analyst IV: serve as technical lead, 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 experience
Business Intelligence Analyst IV: 7-10 years of relevant 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
Preferred: Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Preferred: Microsoft Power BI administration certification or equivalent knowledge
Preferred experience with Microsoft Fabric, Snowflake, Apache Superset, Apache Airflow, Power BI Project formats, Git-based version control, Power BI administration and architecture, AI-assisted development tools, Python or scripting, report certification, Azure DevOps, and insurance or enterprise reporting

Benefits

Comp & perks

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