Business Data Analyst Healthcare and Finance Expert

Location:

St. Louis, MO

Salary:

Posted:

February 03, 2026

Contact this candidate

Resume:

Bhavya Chowdary Yampati

Saint Louis, MO +1-314-***-**** ***********************@*****.*** Linkedin

PROFESSIONAL SUMMARY

Business Data Analyst with 5 years of experience in leveraging data to support business decisions, improve operational efficiency, and drive measurable results across healthcare and finance sectors.

Skilled in analyzing large datasets using SQL, Python, and Excel, transforming raw data into actionable insights to drive strategic decisions.

Adept at creating real-time dashboards and reports with Tableau, Power BI, and other BI tools for senior leadership.

Strong experience in financial forecasting, risk management, and capital allocation using advanced data analytics methods.

Proven track record of using data-driven insights to optimize business processes and reduce costs by identifying inefficiencies and trends.

Expertise in developing predictive models and implementing machine learning algorithms to forecast business trends.

Excellent at collaborating with cross-functional teams to develop actionable reports and insights to support business operations.

Built dashboards to track end-to-end funnel metrics, conversion rates, and lending performance

Partnered with Product and Risk teams to define success metrics and KPI frameworks

Highly experienced in the healthcare industry, improving patient outcomes and reducing costs through data analysis and optimization.

Knowledgeable in data governance, ensuring compliance with internal policies and external regulations such as HIPAA and GDPR.

Executed high-volume, repeatable data transfer tasks with strict accuracy requirements, ensuring 100% traceability between source documentation and system entries.

Experienced in building automated data feeds, SSIS/SSRS reporting, T-SQL routines, and reconciliation processes to ensure data accuracy, integrity, and regulatory-ready reporting in enterprise financial systems.

PROFESSIONAL EXPERIENCE

JPMorgan Chase & Co. – Business Data Analyst

Saint Louis, MO November 2023 - Present

Collaborated with business and technical teams to analyze performance metrics across multiple departments, using data-driven insights to guide decision-making and improve business outcomes.

Developed and maintained interactive dashboards using Tableau and Power BI, delivering real-time reporting and insights to senior executives and stakeholders.

Performed deep analysis of financial data, including forecasting, market trends, and risk management, to support investment and capital allocation decisions.

Utilized SQL, Python, and Excel to clean, analyze, and visualize large datasets, ensuring data integrity and consistency across reports.

Created data models and financial forecasts to predict market trends and assess business performance, providing actionable insights for future strategy.

Designed and implemented ETL processes to extract data from multiple sources, transforming it into usable formats for analysis and reporting.

Worked closely with the finance and operations teams to develop key performance indicators (KPIs) and evaluate business performance metrics.

Automated data extraction and reporting tasks, reducing manual effort and improving reporting efficiency by 25%.

Identified emerging financial trends and developed predictive models to anticipate market changes and mitigate risks.

Streamlined internal processes by developing a comprehensive reporting framework that improved reporting accuracy by 15%.

Conducted comprehensive analyses of customer data, identifying high-value segments for targeted marketing and improved client retention strategies.

Delivered presentations and actionable insights to leadership on key business trends, financial forecasts, and risk management efforts.

Collaborated with cross-functional teams to develop data pipelines, ensuring smooth integration of data between systems for seamless reporting and analysis.

Conducted financial modeling and simulation exercises to evaluate the potential impact of various market conditions on business performance.

Supported agile project management for data analytics initiatives, ensuring timely delivery of key reporting and data products.

Led data governance initiatives to ensure compliance with company policies and industry regulations on data management and privacy.

Provided ongoing analytical support to various departments, helping optimize business operations and reduce costs by analyzing performance data.

Delivered real-time dashboards for tracking financial performance, improving decision-making and business responsiveness to market changes.

Created detailed business reports and ad-hoc analyses to support senior management’s decision-making on investment strategies and operational improvements.

Cigna Health Solutions – Business Data Data Analyst

Remote March 2020 – August 2022

Analyzed healthcare data, including patient information, claims history, and treatment outcomes, to provide actionable insights for improving healthcare delivery and reducing operational costs.

Developed customized SQL reports and visualizations using Tableau, providing key insights for healthcare teams to optimize patient care and cost management.

Performed data validation and quality checks to ensure accurate reporting and adherence to healthcare data standards and regulations (e.g., HIPAA).

Worked closely with healthcare providers and insurers to identify cost-saving opportunities and improve the efficiency of healthcare processes.

Utilized Python and R for data cleaning, transformation, and analysis of large healthcare data sets, including claims and provider data.

Designed and implemented predictive models to assess patient risk and optimize early interventions, leading to improved patient outcomes.

Supported the implementation of ETL processes, ensuring smooth data integration across multiple healthcare systems and improving reporting efficiency.

Analyzed trends in patient data to identify opportunities for reducing healthcare delivery costs and improving operational efficiency.

Collaborated with business intelligence teams to create real-time dashboards to monitor performance metrics and health outcomes.

Worked with senior management to design and implement data governance policies to ensure compliance with industry regulations and enhance data integrity.

Optimized healthcare plans and claims processing by analyzing data on patient needs, treatment outcomes, and healthcare usage patterns.

Supported the automation of reporting tasks, reducing manual effort by 30% and improving the timeliness of critical health insights.

Conducted statistical analysis of healthcare data to improve operational strategies and reduce inefficiencies in claims processing and patient care.

Provided actionable insights to the business and operational teams, contributing to a 10% increase in patient satisfaction through improved care delivery.

Created detailed reports to track healthcare trends, utilization rates, and cost savings opportunities, enhancing decision-making at all levels.

Participated in cross-functional teams to improve patient care processes by providing insights based on healthcare data analysis and performance metrics.

Improved data accuracy and reduced reporting errors by designing and implementing new data validation protocols for claims and treatment data.

Led initiatives to optimize healthcare workflows using data analytics, which contributed to 15% improvement in processing time for healthcare claims.

Supported the transition to cloud-based data storage solutions, ensuring easy access and integration of healthcare data across the organization.

EDUCATION

Saint Louis University

Master's in Computer Information Sciences

SKILLS