Eau Claire, Wisconsin, United States
I am an analytical and detail-oriented Data Analysis Specialist with a unique blend of experience in data analysis, biological sciences, and software development. I’m passionate about transforming complex datasets into clear, actionable insights that drive smarter business decisions and measurable results. Currently, I work as a Data Analysis & Excel Specialist at Ganz, where I design automated reporting systems, develop relational databases, and perform advanced data modeling to uncover sales and product performance trends. My work helps teams make data-driven decisions that support product innovation and growth. With a strong technical foundation in SQL, Python, Power BI, Tableau, and Excel, I enjoy bridging the gap between technical analysis and business strategy. My goal is to continue leveraging data to tell meaningful stories, streamline decision-making, and improve organizational outcomes.
● Performed advanced data calculations and analysis using complex formulas, pivot tables, and lookups to identify sales trends, product performance and metrics. ● Developed and maintained a relational database to centralize product and sales data, improving accessibility and data integrity. ● Utilized ETL processes to extract, transform, and load sales and product data from multiple sources into the database for streamlined reporting. ● Created automated reports and data summaries that informed teams and guided decisions for product development.
● Collected, cleaned, and transformed data on remote and local job opportunities into a database for students in the Data Analysis program. ● Analyzed job market trends and requirements, providing actionable recommendations to optimize program courses and enhance post-graduation success. ● Developed and generated reports and dashboards to visualize job trends, supporting efforts to increase student placements in the field.
● Collected and input patient data into the organization's Epic Systems program while following regulatory compliance guidelines to protect patient confidentiality. ● Exchanged ideas with management to modify staff structures to optimize patient safety, task efficiency, and lower department expenses.