Business Intelligence Analyst​/Data Engineer

Position: Business Intelligence Analyst / Data Engineer
Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge:
Great Company, Great Culture, Great Rewards, and Great Careers.

Overview:

The Business Intelligence Analyst III / IV is responsible for designing, developing, and supporting enterprise business intelligence and visual analytics solutions that enable data-driven decision-making. This role transforms complex data into meaningful reports, dashboards, semantic models, and analytical solutions that support operational and strategic business outcomes.

The associate partners with business stakeholders, technology teams, and data engineering partners to deliver scalable visual reporting solutions, establish semantic modeling standards, and translate advanced analyses into clear recommendations. Microsoft Power BI is the primary business intelligence platform for this role; however, the associate is expected to remain agile and use Apache Superset or other visualization tools when they are better suited to the business need.

As a member of an agile team, the incumbent contributes to solution design, development, testing, deployment, optimization, production support, report certification, and modernization of enterprise reporting assets. The role focuses on business intelligence and visual analytics rather than primary ownership of source-data engineering or Power BI tenant administration.

Level Expectations :

Business Intelligence Analyst III:
Designs end-to-end BI solutions, including semantic and metric layers, data models, reports, and dashboards. Applies advanced analytical and statistical techniques to move reporting from descriptive insight toward diagnostic analysis of performance drivers and customer behavior, while introducing predictive approaches where appropriate. Works independently with minimal guidance, leads solution components, partners with stakeholders to frame analytical questions, and provides technical guidance to peers.

Business Intelligence Analyst IV:
Leads the design of complex, reusable BI solutions and serves as a technical lead for reporting and analytics initiatives. Balances regular delivery responsibilities with leadership of cross-functional projects, establishes semantic modeling and reporting standards, reviews technical designs, influences BI architecture and tooling decisions, and mentors analysts and developers across levels.

Responsibilities:

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 opportunities for operational improvement.

Translate descriptive reporting into diagnostic insight and introduce predictive approaches where appropriate to the business question and available data.

Partner with stakeholders to frame analytical questions, evaluate findings, and translate complex analyses into clear, compelling 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 adherence to established standards.

Publish and support Power BI solutions through Power BI Service, including Work spaces, Apps, Deployment Pipelines, and semantic model refresh processes.

Optimize report and semantic model performance, refresh reliability, storage-mode selection, and overall user experience across BI platforms.

Assess the downstream impact of design choices involving Import, Direct Query, composite models, Row-Level Security, refresh strategies, and available…