Business Intelligence Analyst / Data Engineer
Role Overview
Designs, develops, and supports enterprise BI and visual analytics solutions for data-driven decisions and operational and strategic outcomes.
Partners with business stakeholders, technology teams, and data engineering partners to deliver scalable reporting and translate analyses into recommendations.
Power BI is the primary platform; Apache Superset or other visualization tools may be used when better suited to business needs.
The role focuses on BI and visual analytics rather than primary ownership of source-data engineering or Power BI tenant administration.
The description covers Business Intelligence Analyst III and IV level expectations.
Key Skills for This Role
Full Job Posting
Role overview
Designs, develops, and supports enterprise BI and visual analytics solutions for data-driven decisions and operational and strategic outcomes.
Partners with business stakeholders, technology teams, and data engineering partners to deliver scalable reporting and translate analyses into recommendations.
Power BI is the primary platform; Apache Superset or other visualization tools may be used when better suited to business needs.
The role focuses on BI and visual analytics rather than primary ownership of source-data engineering or Power BI tenant administration.
The description covers Business Intelligence Analyst III and IV level expectations.
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, 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 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 analyses into recommendations.
- Establish and document 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 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 user experience across BI platforms.
- Assess design impacts involving Import, DirectQuery, composite models, Row-Level Security, refresh strategies, and Power BI capacity.
- Evaluate visualization technologies and select 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.
Level expectations
- Analyst III designs end-to-end BI solutions, works independently with minimal guidance, leads solution components, frames analytical questions with stakeholders, and provides technical guidance to peers.
- Analyst IV leads complex reusable BI solutions and cross-functional initiatives; establishes standards, reviews technical designs, influences architecture and tooling decisions, and mentors analysts and developers.
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