Senior Business Intelligence Analyst

StarRez is the global leader in student housing software, providing innovative solutions for on and off-campus housing management. As a Senior Business Intelligence Analyst, you will support the development and deployment of our data warehouse and BI software application, collaborating with cross-functional teams to create strategic insights and optimize our customer offerings.

Responsibilities:

• Design, develop, and maintain Domo dashboards, reports, and data visualizations to support business operations and strategic initiatives
• Assist in the design and implementation of the data warehouse architecture; ensuring data integrity and completeness and performance efficiency (via regular data validations and audits)
• Utilize Domo’s SQL, Magic ETL, and scripting tools to prepare data
• Collaborate with business leaders to gather technical requirements of complex data sets, assess trends/patterns, and convert them to actionable insights
• Lead dashboard rationalization efforts, consolidating or deprecating unused or duplicative content
• Contribute to BI training, enablement sessions, and best-practice documentation
• Support BI governance by reinforcing metric consistency, proper dataset usage, and business definitions

Requirements:

• 4+ years of proven experience in business intelligence, data analytics, or related fields
• Advanced proficiency in SQL for data extraction and manipulation
• Strong understanding of ETL processes and data warehousing principles
• Strong experience building dashboards and analytics in BI platforms (Domo preferred)
• Excellent problem-solving skills and ability to work with large datasets to draw meaningful insights from complex data
• Strong communication and storytelling skills to translate data into business insights with non-technical stakeholders
• Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced SaaS environment
• Bachelor's Degree in Business Analytics, Data Science, Computer Science, Finance, or a related field
• Knowledge of Python, R, or JavaScript for advanced analytics
• Experience with data warehousing concepts and architecture
• Experience driving analytics adoption or self-service programs
• Familiarity with SaaS metrics (ARR, retention, usage, adoption)