Demetrius Hill

Digital Analytics professional with a Master of Business Analytics and Bachelor of Business Administration (Accounting) offering experience in statistical analysis, SQL, Python, R, data visualization, and business intelligence. Skilled in designing interactive Tableau and Power BI dashboards, building relational data models, performing advanced statistical analyses, and translating complex data into actionable business recommendations.

Experience with AI-powered analytics systems, forecasting, budgeting, ETL processes, Databricks, Alteryx, and stakeholder-focused data reporting and storytelling.

Data Science Intern at Washington Interscholastic Activities Association (2025-06 – Present)

• Developed executive Power BI dashboards analyzing participation trends, revenue performance, program investment, and weighted portfolio scoring to support budgeting, strategic planning, and organizational decision-making.
• Built a Sports Portfolio Management Dashboard using Power BI providing executive-level visibility into year-over-year attendance trends, sport-level revenue, underinvested programs, and a weighted scoring model to prioritize strategic investment decisions
• Created interactive Tableau dashboards incorporating geospatial analytics, clustering analysis, and travel distance modeling to support regional planning and executive decision-making.
• Designed relational data models and ETL pipelines by integrating data from dozens of public sources, defining schemas, keys, relationships, and cardinality to support scalable enterprise reporting.
• Wrote complex SQL queries to extract, transform, and analyze relational data while performing exploratory data analysis, validation, and data quality improvements.
• Designed and implemented an end-to-end relational SQL database integrated with Tableau dashboards, including schema design, SQL development, data transformation, and automated reporting pipelines.
• Applied advanced statistical methods including hypothesis testing, regression analysis, ANOVA, correlation analysis, effect size interpretation, confidence intervals, variance analysis, and predictive modeling to identify meaningful business insights and relationships within complex datasets.
• Developed a retail market profitability dashboard in Tableau identifying high-opportunity and under-performing markets and product categories.
• Utilized Python, R, Databricks, and Alteryx to automate data preparation, statistical analysis, and analytical workflows supporting reporting and business decision-making.
• Presented analytical findings through executive dashboards and concise data-driven narratives, communicating key insights, risks, opportunities, and actionable recommendations to organizational stakeholders.

Accounting Tutor at University of Washington Tacoma (2025-01 – 2025-04)

• Provided 1:1 and small group tutoring in Financial Accounting, Cost Accounting, and Forensic Accounting for undergraduate students
• Developed individualized study plans addressing each student's specific learning gaps and academic goals
• Analyzed student performance metrics and prepared analytical reports identifying trends, forecasting learning outcomes, and recommending curriculum improvements for program leadership.
• Managed scheduling, lesson planning, and session coordination in a fast-paced student services environment

Assistant Manager at Lakewood Costumes (2016-03 – 2020-03)

• Supervised floor staff and coordinated daily operations in a high-volume retail environment
• Designed interactive business intelligence dashboards monitoring KPIs including sales performance, inventory turnover, purchasing trends, and operational efficiency to support data-driven management decisions.
• Designed and maintained a relational SQL database integrated with POS systems, automating sales and inventory reporting while improving operational decision-making.
• Integrated operational systems with relational databases to improve data consistency, reporting automation, and inventory management processes.
• Applied statistical analysis and customer segmentation techniques for purchasing data, price management, and identifying growth opportunities that generated $24,000 in additional revenue over three months.

Master of Business Analytics in Business Analytics

Bachelor of Business Administration in Accounting