Business Intelligence Analyst

About the Role

UDT is hiring an entry-level Business Intelligence Analyst to join our data team. This role focuses on transforming raw data into actionable insights to drive business decisions. You will work with SQL, Power BI, and Microsoft Fabric, learning to leverage AI-assisted tools for efficiency. This position offers a clear growth path as your technical skills develop.

Key Responsibilities

• Write and optimize SQL queries to extract, clean, and transform data from multiple sources.
• Build and maintain interactive Power BI dashboards and reports for stakeholders.
• Support data pipelines and workflows within Microsoft Fabric.
• Partner with business stakeholders to understand reporting needs and translate them into clear, actionable visualizations.
• Use AI-assisted tools to accelerate research, documentation, and repetitive analysis tasks.
• Maintain documentation of data sources, definitions, and dashboard logic.
• Troubleshoot data quality issues and flag discrepancies.

Requirements & Tech Stack

• SQL (primary query language for data sources)
• Power BI (dashboards, reporting, DAX)
• Microsoft Fabric (data pipelines, lakehouse, semantic models)
• AI tools for workflow automation, research, and documentation
• Working knowledge of SQL for querying and manipulating relational databases.
• Familiarity with Power BI (or a comparable BI/visualization tool) and willingness to build expertise.
• Exposure to or interest in Microsoft Fabric and modern data platform concepts.
• Comfort working in VS Code or a similar code editor.
• Interest in using AI tools to build workflows, along with a basic understanding of concepts like MCP and Skills (or eagerness to learn).
• Strong foundational analytical skills: data cleaning, exploratory data analysis, and translating numbers into a clear narrative.
• Clear communicator who can translate technical findings into plain language for non-technical stakeholders.
• Curious and self-directed, comfortable asking questions and digging into ambiguous problems.
• Detail-oriented, with a habit of double-checking data before sharing it.
• Collaborative team player who takes feedback well and iterates quickly.
• Adaptable and eager to learn new tools and technologies.
• Organized, able to manage multiple small requests and reporting deadlines.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Information Systems, or a related field (or equivalent practical experience).

Preferred (Nice-to-Have) Qualifications

• Internship or academic project experience involving dashboards, databases, or data pipelines.
• Exposure to Python or R for data analysis.
• Familiarity with version control (Git).
• Prior coursework or experience in database design or data modeling.
• Any hands-on experience with AI-assisted development workflows.