Astyra Corporation is seeking a Senior Business Intelligence Analyst who will serve as a lead expert in enterprise reporting and analytics. This role involves providing advanced data solutions that support strategic operational and executive decision-making, requiring deep technical expertise in SQL, Power BI, and Ellucian Banner.
Responsibilities:
- Lead the design development and maintenance of complex enterprise-level SQL queries and reporting solutions
- Architect and maintain advanced Power BI data models DAX measures and executive-level dashboards
- Serve as a subject matter expert for Ellucian Banner data including student finance and HR modules
- Develop advanced Argos reports including complex data blocks and scheduled distributions
- Partner with senior leaders and stakeholders to define reporting strategies and performance indicators
- Establish and promote reporting standards visualization best practices and data definitions
- Extensive experience working with Ellucian Banner data
- Advanced experience developing reports using Argos Enterprise
- Review and validate high-impact reports used for compliance accreditation and executive decisions
- Mentor and provide technical guidance to junior analysts and report writers
- Identify opportunities to streamline reporting processes and improve data quality
- Support data governance security and compliance requirements
Requirements:
- Bachelors degree in Information Systems, Computer Science, Data Analytics, or a related field or equivalent experience
- Progressive experience in reporting, business intelligence, or analytics roles: 5 Years
- Advanced proficiency in SQL, including complex joins and query optimization: 5 Years
- Advanced expertise in Power BI, including data modeling, DAX, and row-level security: 5 Years
- Extensive experience working with Ellucian Banner data: 5 Years
- Strong ability to communicate complex data insights to non-technical audiences: 5 Years
- Experience in higher education or large, complex enterprise environments
- Familiarity with data warehousing and ETL processes