Location: Baltimore, MD
Cap-Exempt H-1B Position — No lottery required
We are seeking a ***Sr Data Analys***t to partner with F&A leadership to lead, manage, and execute high-priority university initiatives that require data analysis and visualization. Working across the university's central Finance & Administration (F&A) function, the Sr Data Analyst will anchor several key strategic projects, providing data management activities that include (but are not limited to): identifying data sets best able to answer critical questions, designing and maintaining data models, deriving actionable insights and presenting findings to executive leadership. Depending on the project, the Sr Data Analyst could engage at all phases of the project lifecycle (e.g. from problem identification to business case development through implementation of a solution). Regardless of the phase of a project, the Sr Data Analys will drive the quantitative analysis leadership needs to make critical decisions. The person in this role will interact on a daily basis with senior leaders from across the university on sensitive matters that may be timebound and shift as conditions evolve. They therefore must be comfortable collaborating across functions, on aggressive timelines and engaging with multiple senior stakeholders simultaneously. **Specific Duties & Responsibilities** - Align assessment strategy with strategic objectives and goals. - Translate data into insights to be used to support positive and enhanced outcomes. - Collaborate with leadership to plan and implement assessment activities, including consultation on data collection, data analysis, reporting of assessment outcomes, and using results to improve programs and services. - Lead the design of clean, impactful, user-friendly data visualizations supporting strategic goals. - Communicate findings compellingly and visually through dashboards, reports, briefing decks, stories, scorecards, executive briefings, etc. for different audiences using software like Power BI and Tableau. - Provide insights on data patte