Chase Owen Email & Phone Number

Nashville, Tn, Us

Nashville, Tn, Us

Yokohama-Shi, Kanagawa, Jp

● Designed and implemented technical solutions leveraging data marts to address complex business requirements, focusing on innovative data visualization and tool creation.● Lead the strategy, development, and maintenance of advanced reporting systems, analytics, and dashboards using Snowflake, Power BI, Python, Informatica Prep, and SAP Business Objects.● Conducted data extraction, validation, and analysis, utilizing various tools to ensure data integrity.● Directed end-user testing and database query development to troubleshoot and resolve issues, driving continuous improvement in data processes and systems.● Oversee requirement gathering to enhance existing systems, streamline workflows, and optimize business processes through targeted data insights.● Performed comprehensive data analysis, mapping, and validation across multiple sources, documenting processes and insights to inform strategic decisions.● Managed multiple projects simultaneously, demonstrating strong organizational skills and the ability to pivot between tasks effectively.● Presented complex data-driven business cases and solutions to leadership at all levels across different teams, translating technical details into actionable business insights.

Memphis, Tennessee, Us

● Led efforts to design and build data pipelines and data lakes in Azure, allowing for the ingestion and integration of financial and operational data from various ERP systems. This process involved building a unified and standardized data repository that enabled more efficient financial analysis across the portfolio.● Mapped complex financial data, including general ledger, cash flow, revenue, and operating expenses, before developing custom SQL tables and views to normalize these data points across multiple companies. This standardized structure allowed for more accurate financial consolidation and reporting, ensuring that leadership had consistent and reliable metrics to assess company performance.● Worked directly with Finance/Accounting team to translate complex financial data into actionable insights through robust reporting. These reports provided detailed analysis on key financial metrics such as cash flow, income, equity, market analysis, and operating expenditures, offering stakeholders a clear view of portfolio performance.● Utilized Python libraries like Pandas for data manipulation, SQLAlchemy for database connectivity, and NumPy for numerical analysis. This enabled me to perform more complex analysis, such as forecasting cash flow trends.● Played a key role in building financial reports for both internal leadership and external investors. These reports were delivered through Power BI and provided clear visibility into KPIs such as sales growth, cash balance, operating margins, and overall portfolio health.

Memphis, Tennessee, Us

● Designed and implemented data pipelines using SSMS/Azure suite, creating data cubes, granular-level tables, and summarized views that tracked mortgage lending activity. These data models captured key metrics such as loan application statuses, underwriting velocity, and consumer data updates, enabling us to monitor daily changes in the loan process.● Collaborated with senior leadership, including the President of the Mortgage Division, to translate high-level strategic objectives into actionable data insights. By understanding the department's key concerns, I developed tailored SQL queries and reporting structures that addressed specific business needs, risks, and opportunities.● Responsible for creation and management of the mortgage division’s Power BI environment. This included the full development and automation of dashboards that provided real-time tracking of mortgage applications as they progressed through each phase—from pre-approval to closure. These dynamic reports helped bank managers assess the speed and accuracy of their underwriting processes at national, regional, and branch levels.● Conducted in-depth financial analysis, using Power BI to generate forecasts, evaluate risk buckets, and report on key performance indicators. This provided actionable insights into the bank's lending performance, highlighting trends related to loan approvals, underwriting timelines, and compliance.● Designed Power BI reports specifically for bank managers, allowing them to track the value and status of mortgage applications in real-time. This dashboard significantly improved operational visibility by offering insights into the velocity, compliance, and performance of loans across all stages of the mortgage process.

Nashville, Tn, Us

● Led the design and execution of complex SQL queries, views, and stored procedures in SQL Management Studio (SSMS) to identify discrepancies in claim reimbursements. My analysis spanned across multiple variables, including facility type, service type, and procedure codes, allowing for detailed insights into revenue cycle patterns across diverse hospital systems.● Leveraging Python and SQL, I applied statistical methods like regression analysis, principal component analysis (PCA), and clustering techniques to uncover patterns in reimbursement inconsistencies. This analysis helped identify systemic issues and overpayment scenarios, enabling hospitals to recover lost revenue and improve future billing processes. ● Collaborated closely with team members and management to integrate data science techniques into our processes, improving our ability to identify faulty reimbursements. Through research and collaboration, we consistently uncovered new value opportunities and improved the company’s BI capabilities.● Effectively communicated complex technical findings and strategic recommendations to a diverse audience, including hospital executives and non-technical stakeholders. Presentations and automated Power BI dashboards allowed stakeholders to quickly grasp the implications of data trends and make informed business decisions.

Eden Prairie , Mn, Us

● Developed complex SQL queries using policy-based business logic to target underpayment patterns. These queries were iteratively tested and validated through multiple Agile phases of rigorous data quality checks and performance optimization.● Automated these cases within SSMS using triggers and event scheduling. This allowed for continuous monitoring and detection of underpayments without manual intervention.● Democratized the insights from successful cases for other analysts to reference and integrate within their own SQL queries for related analysis. This facilitated knowledge sharing and reuse of validated logic across different projects and teams.● Performed statistical analysis on productionized cases using forecasting, cluster analysis, regressions, and correlation analysis. These methods helped uncover trends, predict future underpayments, and measure the effectiveness of policies. ● Summarized and visualized key results in Power BI through automated reporting, offering business users insight into trends, performance, and actionable metrics. These reports included KPIs such as total recovered payments, missed opportunity value, accuracy of case detection, and performance improvement over time.

Eden Prairie , Mn, Us

Nashville, Tennessee, Us

Washington, Dc, Us

Frisco, Texas, Us

Bachelor Of Arts (B.A.), Economics & Political Science

Master Of Business Administration - Mba, Business Intelligence & Analytics