Kiara D.
Institutional Data Analyst @University of San Francisco
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WORK HISTORY
Institutional Data Analyst @University of San Francisco
San Francisco, CA, US
Led end-to-end development of data projects focused on student financials and retention, improving processing efficiency by 20% through optimized SQL queries and automated Python scripts • Designed and deployed interactive Tableau dashboards (including GIS layers) that improved student enrollment forecasting accuracy by 25%, directly informing institutional planning decisions • Built automation frameworks in collaboration with cross-functional teams, reducing manual reporting time by 20% and enhancing overall data quality • Delivered strategic, ad hoc analyses and performance reports for accreditation and program review cycles, supporting executive decision-making with real-time insights • Provided thought leadership in BI tool adoption, standardizing KPIs and visualizations across departments to align with institutional goals • Spearheaded cross-campus collaborations to modernize data infrastructure and promote a culture of data-informed equity and accountability
EDUCATION
Louisiana State University
BS, Information Systems & Decision Sciences
University of San Francisco
Master of Science - MS, Applied Economics
ABOUT KIARA D.
I’ve always been drawn to patterns. How systems work, where they fail, and what makes them better. That curiosity led me to data. But what’s kept me here is something deeper: the belief that data can be a tool for equity, strategy, and transformation when used with intention.Over the last 8 years, I’ve worked at the intersection of analytics, economics, and product thinking. I’ve built data systems that support growth, equity, and smarter decision-making. I’ve led initiatives that automated workflows, cut processing time by 20%, and improved enrollment forecasting accuracy by 25%. I’ve collaborated with cross-functional teams to create tools people actually use, because insights only matter if they drive action.My foundation in SQL, Python, Snowflake, and Tableau helps me move from idea to implementation. My training in applied economics keeps my focus on impact. I don’t just build pipelines. I build clarity. I don’t just optimize systems. I ask who those systems serve and how we can make them more inclusive.Right now, I’m exploring how AI and data infrastructure can improve access to essential resources like clean water. I also consult with teams who are looking to align product strategy with values that center people and equity.If you’re building something that combines innovation, systems thinking, and real-world impact, I’d love to connect!
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