Senior BI & Data Analytics Engineer (Power BI)

Geico; Tampa (FL); On-site; USD 91,000 - 172,000; Full time

Job summary

GEICO is seeking a seasoned Business Intelligence Analyst III/IV in Tampa, FL to design, develop, and support enterprise BI solutions using Power BI. You will transform data into dashboards, semantic models, and actionable insights while collaborating with stakeholders and data engineers in an agile environment.

Responsibilities include building semantic models with DAX, optimizing performance, and guiding junior teammates.

Qualifications

• Advanced experience designing, developing, deploying, and supporting BI solutions using Power BI.
• Strong proficiency with DAX, semantic modeling, and data visualization.
• Advanced SQL knowledge for complex queries and optimization.
• Ability to translate complex technical concepts for diverse audiences.
• Experience in agile delivery and cross-functional collaboration.

Responsibilities

• Design end-to-end BI solutions with semantic and metric layers, dashboards, and scorecards.
• Develop and optimize Power BI semantic models and reports using DAX and Power Query.
• Apply analytics to identify trends and opportunities for operational improvement.
• Partner with stakeholders to frame questions, evaluate findings, and translate analyses into recommendations.
• Establish and promote semantic modeling standards, reporting best practices, and documentation.
• Support report certification and modernization initiatives; publish solutions via Power BI Service.
• Coordinate with data engineering to ensure source data is reliable and usable.

Skills

Power BI

DAX

Semantic modeling

SQL

Data visualization

Analytical thinking

Python basics

Agile

Tools

Snowflake

Apache Superset

Power BI Service

Git

Azure DevOps

Job description

GEICO is seeking a seasoned Business Intelligence Analyst III/IV in Tampa, FL to design, develop, and support enterprise BI solutions using Power BI. You will transform data into dashboards, semantic models, and actionable insights while collaborating with stakeholders and data engineers in an agile environment.

Responsibilities include building semantic models with DAX, optimizing performance, and guiding junior teammates.