Business Intelligence Analyst I

Responsibilities

• Translate business requirements into clear report specifications, including metrics, filters, and visual layouts.
• Develop and maintain Power BI dashboards, paginated reports, and reusable datasets following BI team standards.
• Create and optimize basic to moderately complex data models and DAX measures to support reporting needs.
• Write and maintain SQL queries or use existing curated data models to retrieve and transform data for reporting.
• Perform thorough testing and validation of all new and updated reports, including data reconciliation to source systems.
• Maintain documentation for owned reports, datasets, and data transformations, including data definitions and lineage.
• Collaborate with data engineering, application, and business teams to resolve data issues and improve data readiness.
• Contribute to the BI team’s standards, templates, and best practices; participate in peer reviews.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Management Information Systems, or a closely related field. A bachelor’s degree in a specifically related field is preferred; equivalent work experience is acceptable in place of this requirement.
• 2–4 years of professional experience in business intelligence, reporting, data analysis, or application development.
• Hands-on experience building reports or dashboards in Power BI or a similar enterprise BI platform.
• Working knowledge of SQL for querying and validating data.
• Understanding of basic data modeling concepts (tables, joins, keys, measures, dimensions).
• Ability to organize work, manage multiple requests, and communicate clearly with both technical and non-technical stakeholders.

Preferred Qualifications

• Experience with Power BI semantic models, row-level security, and performance optimization.
• Exposure to enterprise data warehouse or cloud data platforms.
• Experience working within a structured SDLC, using tools such as Azure DevOps, Jira, or similar.
• Familiarity with data governance concepts and the use of shared or certified datasets.