Business Intelligence Analyst, Data Engineer

🔥 7 minutes ago

🇺🇸 United States – Remote

💵 $109.7k - $172.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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GEICO

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1936

🚘 Automotive

💼 Consulting

🏥 Healthcare

Automotive • Consulting • Healthcare

GEICO is a well-known American auto insurance company, providing coverage to a wide range of customers. As a leading provider of car insurance, GEICO is known for its innovative marketing and customer-centric services, delivering affordable insurance options. The company utilizes a user-friendly website for managing policies and claims, applying necessary online privacy measures to protect personal data and improve user experience. While primarily focused on auto insurance, GEICO also offers other types of insurance, including homeowner and renter policies.

📋 Description

• 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

• 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

• 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