Business Intelligence Data Analyst

Text • Princeton, NJ

7h

About The Position

This role is part of the Data Intelligence team, a centralized function supporting the broader organization through data-driven insights and analysis. The position carries meaningful ownership and accountability, reports to the Data Intelligence Lead Analyst, and is responsible for delivering decision-grade reporting, partnering with stakeholders on KPIs and analytical solutions, improving data quality in collaboration with Data Engineering, and leading self-service BI communications and training.

Requirements

• Experience in business intelligence, analytics, or data roles
• Proficiency in SQL, including techniques such as CTEs and window functions for dataset manipulation
• Familiarity with dimensional data modeling and data warehouse concepts
• Proficiency in Power BI (DAX, data modeling, Power Query, and dashboard design)
• Excellent problem-solving, communication, and time management skills with the ability to work independently on multiple projects
• Experience collaborating across technical and business teams; ability to translate analytical findings into business insights
• Adhere to the Company's Code of Conduct/Ethics
• Create and maintain effective working relationships with other Company employees
• Ability to multi-task, prioritize, and manage time effectively
• Project a professional and appropriate Company image in all dealings with clients, vendors, business partners, and visitors
• Ensure security of information in all matters pertaining to company, client, and consumer information
• Contribute to the professional culture within the office and the company overall

Responsibilities

• Design, develop, and maintain Power BI dashboards and data models supporting business functions
• Partner with business stakeholders to gather requirements, define KPIs, and translate them into actionable reporting solutions
• Ensure data accuracy and consistency by validating source data, monitoring report outputs, and documenting assumptions and definitions
• Collaborate with Data Engineering to define analytical requirements and contribute to the design of optimized data models and transformation logic
• Support self-service BI users through communications, collateral, and training materials
• Document KPI definitions, data lineage, and reporting assumptions to support consistency and self-service analytics
• Identify opportunities to automate manual reporting processes and improve refresh reliability

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed