Senior Business Intelligence Analyst

Summary: Reporting to the Associate Director, Business Intelligence, the Senior Business Intelligence Analyst partners with operational groups across the organization on identifying opportunities for analytic reporting and dashboard solutions to provide operational groups with a single version of the truth of descriptive analytics.

Conducts research to determine best approach to collect required data to create key performance metrics including retention, placement, tuition and scholarships, graduation rates, student learning, and other relevant academic success factors to be used for decision making related to enhancing student outcomes and academic excellence.

Supports delivery and maintenance of reporting to support the entire student journey from marketing lead to alumni relations post-graduation.

Maintains knowledge of business systems and processes to leverage insights from data to optimize organizational opportunities.

Accelerates insight identification by providing high quality visualizations and leading analysis which guide end users’ interpretations of complex and sometimes muddled data.

This is an internal customer-facing position.

Responsibilities: 25% Assists on the design, development, deployment, and testing of descriptive analytics that provide insightful output Outputs include reports, dashboards, insights, recommendations, etc.

Hands on with business intelligence software such as Power BI, Tableau, SAS Visual Analytics, etc.

25% Perform analysis and problem formulation to ensure accurate requirements are captured.

35% Query various data sources to create cross functional datasets for analytic solution needs.

Hands on querying of Analytical Data Store Exploration of other internal and external data sources as needed to fulfill requirements 15% Perform explanatory, pattern, and trend analysis on student academic and success data, recruitment and enrollment data, state board pre-licensure exams, financial and operational data.

Education: Bachelor’s degree in information systems, computer science, data science, or a related field.

Knowledge/Experience: 3 years of experience working as a business/data analyst or similar role.

Experience in higher education student life cycle process.

Experience with programming languages like C#, Python, or similar.

Demonstrated experience and working knowledge of relational databases and database query tools (SQL Server or similar).

Demonstrated experience using CampusVue, Blackboard, Canvas, Salesforce, Anthology.

Experience creating data visualizations using Power BI, Tableau, or similar applications.

Must be able to work a hybrid role where you will work approximately 3 days/week in the office and 2 days/week from your home office.

“LI-CM1” “HEJ”