Business Intelligence Analyst / Data Engineer

At GEICO in Bethesda, MD, you’ll design and support enterprise business intelligence and visual analytics solutions that help teams make data-driven decisions. This role uses Microsoft Power BI as the primary platform, alongside collaboration with stakeholders and data engineering partners to deliver scalable reporting, semantic models, and actionable analytical recommendations. You’ll also have opportunities to grow through personalized development programs, mentorship, and certification assistance, supported by competitive pay, benefits, and flexibility.

Responsibilities

• Design end-to-end BI 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, and dashboards using DAX, Power Query, and enterprise reporting standards.
• Apply advanced analytical and statistical techniques to identify trends, performance drivers, customer behaviors, and improvement opportunities.
• Move from descriptive reporting to diagnostic insight, and introduce predictive approaches when aligned with the business question and available data.
• Partner with stakeholders to define analytical questions, evaluate findings, and translate complex analysis into clear recommendations.
• Establish 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, and documentation, including adherence to standards.
• Publish and support Power BI solutions using Power BI Service capabilities such as Workspaces, 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 decisions involving Import, DirectQuery, composite models, Row-Level Security (RLS), refresh strategies, and available Power BI capacity.
• Evaluate visualization technologies and select appropriate tools including Power BI, Apache Superset, or others based on business needs, scalability, maintainability, and user experience.
• Use Snowflake and other approved enterprise data sources to deliver reliable, scalable reporting and analytics.
• Coordinate with data engineering and technology partners to ensure source data is available, reliable, understandable, and usable for reporting.
• Document report definitions, calculations, assumptions, semantic models, technical designs, and support procedures.
• Lead improvements to reporting processes, including automation of recurring outputs and reduction of manual effort.
• Support report migration and modernization efforts, including conversion of legacy reporting solutions to modern BI platforms and reusable semantic model architectures.
• 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.

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 skills, including writing, troubleshooting, and optimizing complex queries used in reporting and analytics solutions.
• Ability to translate complex technical and analytical concepts for both technical and non-technical audiences.
• Strong analytical, quantitative, problem-solving, organizational, communication, and interpersonal skills.
• Ability to work independently and collaboratively in 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.

Technology

• Microsoft Power BI, Apache Superset, DAX, Power Query
• Power BI Service, Workspaces, Apps, Deployment Pipelines
• Snowflake, SQL
• Import, DirectQuery, composite models, Row-Level Security (RLS)
• semantic modeling, dimensional modeling, Incremental refresh, Git

Benefits

• Competitive pay, benefits, and flexibility to support well-being and the future.
• Personalized development programs, mentorship, and certification assistance.

Level Expectations

• Business Intelligence Analyst III: Designs end-to-end BI solutions, including semantic and metric layers, data models, reports, and dashboards.
• Business Intelligence Analyst III: Applies advanced analytical and statistical techniques to progress from descriptive reporting toward diagnostic insight of performance drivers and customer behavior, introducing predictive approaches when appropriate.
• Business Intelligence Analyst III: 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.
• Business Intelligence Analyst IV: Balances 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.

Preferred Qualifications

• Microsoft Certified: Power BI Data Analyst Associate (PL-300).
• Microsoft Power BI administration certification or equivalent demonstrated knowledge of Power BI administration concepts.
• Experience with Microsoft Fabric features such as Lakehouses, Warehouses, Dataflows Gen2, Data Pipelines, Notebooks, Real-Time Intelligence, and related capabilities.
• Experience using Snowflake as a primary enterprise data source for reporting and analytics.
• Experience with Apache Superset or other BI and visualization platforms, including selecting the right tool for the business use case.
• Experience developing or supporting Apache Airflow workflows.
• Experience with Power BI Project (PBIP) formats and collaborative development of Power BI assets.
• Experience using Git-based version control, including branching, pull requests, code reviews, and collaborative development workflows.
• Knowledge of Power BI administration and architecture concepts, including capacity management, storage modes, licensing, workspaces, tenant considerations, governance, and performance optimization.
• Understanding of performance and capacity considerations involving DirectQuery, Import mode, composite models, incremental refresh, and Row-Level Security (RLS).
• Experience using AI-assisted development tools such as Cursor, Claude, GitHub Copilot, or similar platforms to generate or refine scripts, troubleshoot solutions, create documentation, support testing, and accelerate analytics delivery.
• Working knowledge of Python, scripting, or related programming concepts, with emphasis on effectively reviewing, validating, and applying AI-generated code.
• Experience supporting report certification, semantic modeling standards, and reporting modernization initiatives.
• Experience with Azure DevOps or comparable agile work management and delivery platforms.
• Property and Casualty insurance, claims analytics, finance analytics, or enterprise reporting experience.

Salary: USD 91,225 - 172,200 per year. Experience: 4+ years. Location: Bethesda, MD (onsite).