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 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 choices involving Import, DirectQuery, composite models, Row-Level Security, refresh strategies, and available Power BI capacity.
- Evaluate visualization technologies and select Power BI, Apache Superset, or other appropriate tools based on business need, scalability, maintainability, and user experience.
- Use Snowflake and other approved enterprise data sources to deliver reliable, scalable reporting and analytics solutions.
- 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 initiatives, 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 to team members through design, DAX, query, and solution reviews.
- Business Intelligence Analyst IV: Serve as technical lead for complex reporting and analytics initiatives, lead cross-team projects, review technical designs, and mentor analysts and developers across levels.
Qualifications:
- 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 the ability to write, troubleshoot, and optimize complex queries used in reporting and analytics solutions.
- Demonstrated 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.
- Must have the following experience:
- 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.
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.
- Strongly preferred experience with Microsoft Fabric features such as Lakehouses, Warehouses, Dataflows Gen2, Data Pipelines, Notebooks, Real-Time Intelligence, and related capabilities.
- Strongly preferred experience using Snowflake as a primary enterprise data source for reporting and analytics.
- Experience with Apache Superset or other business intelligence and visualization platforms, with the ability to select the appropriate visual 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 a comparable agile work management and delivery platform.
- Property and Casualty insurance, claims analytics, finance analytics, or enterprise reporting experience.
#LI-GC1
Annual Salary
$91,225.00 - $172,200.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
At this time, GEICO will not sponsor a new applicant for employment authorization for this position.
