Business Intelligence Analyst

About the position

The Business Intelligence Analyst at Johns Hopkins University will be a key member of the Data Analytics and Business Intelligence team, focusing on data integration, mining, analysis, and reporting. This role aims to support strategic data-driven decision-making across various departments within the School of Advanced International Studies (SAIS), enhancing the quality of offerings and optimizing financial sustainability.

Responsibilities

• Support strategic data-driven decision-making throughout the school focusing on analytics that improve quality offerings, while optimizing financial returns, and ensuring financial sustainability.
• Extract data from various systems with coding skillset, while structuring the extracted data in useful ways to foster meaningful analysis and decision-making.
• Create graphs, infographics, and other methods to effectively visualize data.
• Design presentations and reports based on findings from data analysis.
• Become expert on the school's IT systems, their integration, and their management.
• Administer data integrity and governance across the school and its departments, helping to create and foster a culture of data sharing & hygiene.
• Boost student success and foster institutional intelligence through the use of descriptive, diagnostic, prescriptive, and predictive analytics.
• Serve as a central resource for the school's various departments' ad hoc data analysis needs, with an emphasized focus in supporting senior leadership.
• Work with senior leadership and department leaders to identify opportunities for improvement in using data to drive more informed and optimized decision-making.

Requirements

• Bachelor's Degree.
• Two years of related experience.
• Excellent data & financial modeling skills, with an innate propensity for analytical problem-solving.
• Proficiency in SQL queries and working knowledge of other query tools.
• Demonstrated proficiency in developing reports and models using SSRS, Tableau, Microsoft Power BI, or other similar tools.

Nice-to-haves

• Master's Degree - Master's in a related field may substitute for some experience.
• Experience in SQL development, data visualization tools (i.e. Microsoft Power BI, Tableau, etc.), and Business Intelligence tools.
• Experience with student information systems or university administrative applications.

Benefits

• Hybrid work environment (On-site 3-4 days a week)
• Equal opportunity employer with affirmative action for minorities, women, disabled persons, and veterans.