Jane L. Email & Phone Number

Healthcare Data Analysis: Conduct population health analysis and create dynamic dashboards in Power BI to identify trends in patient demographics and care utilization, providing valuable insights that can align with quality-focused organizations.Exploratory Data Analysis and Modeling: Perform exploratory data analysis using Python and apply foundational machine learning techniques to gain insights into claims utilization and patient outcomes, utilizing healthcare data for impactful results.Data Automation and Quality: Use SQL and Python to automate data cleaning processes and ensure data integrity for healthcare-related reports, enhancing efficiency and accuracy in mock business reporting scenarios.

Bellevue, Washington, United States

Responsible for working with end users at all levels to quickly create and/or produce reports for strategic business and clinical decision-making utilizing SQL, Python, and Power BI in an agile development environment• Generated and prepared ad-hoc and recurring reports and data to internal stakeholders using Excel, SQL, Power BI, and Python• Performed automation for recurring reports using Python, and Power BI• Developed and delivered advanced Power BI and Tableau dashboards, enhancing data visualization and leading to a 45% increase in client engagement and a 30% improvement in decision-making.• Utilized advanced Excel for financial modeling and Power BI for reporting, achieving a 25% increase in operational reporting efficiency and supporting accurate financial forecasting, contributing to enhanced FP/A processes.• Created SQL scripts to normalize and integrate data within Financial Systems, resolving real-time processing issues and ensuring data accuracy.• Synthesized key financial insights for internal stakeholders, improving client financial performance by 25% through actionable recommendations.•Managed vendor file data for over 500 business groups and 100,000+ members, increasing membership engagement by 15% through effective data management.• Administered over 300 data-related inquiries monthly, improving customer satisfaction scores by 25% and enhancing data governance practices, resulting in a 30% increase in data accuracy.

Washington, United States

• Designed data visualization solutions with Power BI and Tableau, aligning with business needs and strengthening client relationships, resulting in a 30% enhancement in actionable insights and decision-making capabilities.• Enhanced ETL workflows through advanced SQL query techniques, achieving a 45% boost in data processing efficiency and a 20% decrease in error rates.• Engineered the deployment and configuration of over 1000 reports, ensuring 98% accuracy and a 40% increase in performance, optimizing data management and operational efficiency.• Partnered with cross-functional teams to gather and analyze business requirements, find patterns, and trends, and converting into technical specifications that improved system performance by 40% and reduced manual workload by 30%.

Seattle, Washington, United States

• Conducted statistical analysis on data from 40+ sources, using SQL, Power Query, and DAX, identifying trends and actionable insights that boosted operational efficiency by 15% and cut budget costs by 10%.• Performed detailed analysis of medical claims data, guaranteeing adherence to regulatory requirements and maintaining 97% data accuracy, which resulted in a 35% decrease in claims processing time.• Compiled 100+ Power BI, Tableau, Google Sheets, and Microsoft Excel reports, facilitating real-time KPI tracking and equipping leadership with actionable insights, which contributed to a 15% increase in annual revenue.• Devised and applied complex SQL queries to extract, manipulate, and analyze data, resulting in a 25% boost in report generation efficiency and streamlined data processes.