Anusha Maganur

Healthcare Data Analyst with around 4 years of experience delivering data-driven solutions across healthcare analytics, clinical data management, claims analysis, and healthcare reporting environments. Skilled in leveraging Python, SQL, Tableau, Power BI, and Advanced Excel to perform data analysis, predictive insights, dashboard development, and data quality advances. Experienced with EHR management, healthcare interoperability, ICD/CPT/HCPCS coding, Medicaid and Medicare payment models, HIPAA/HITECH compliance, and ETL support to optimize healthcare operations and reporting accuracy.

Proven ability to collaborate with cross-functional stakeholders, translate business requirements into analytical solutions, and drive measurable improvements through Agile and SDLC methodologies.

Healthcare Data Analyst - Magellan Health USA - USA

(2025-08)

• Analyzed complex clinical, claims, and healthcare utilization data using Python (Pandas, NumPy), SQL, and statistical analysis techniques, improving data accuracy by 24% and enabling actionable insights for healthcare operations and reporting initiatives.
• Designed and optimized healthcare KPI dashboards using Tableau, Power BI, and Advanced Excel, improving executive visibility into member outcomes, claims trends, and operational performance while reducing manual reporting efforts by 45%.
• Developed automated data validation and quality assessment processes using Python, SQL, and data profiling techniques, identifying inconsistencies across healthcare datasets and improving overall data reliability by 30% for analytics workflows.
• Performed Medicaid and Medicare payment analysis by evaluating claims patterns, recompence trends, and healthcare terminologies including ICD, CPT, and HCPCS, supporting payment accuracy improvements and reducing reporting discrepancies by 20%.
• Streamlined healthcare data management workflows by supporting ETL processes, data cleaning, and data wrangling activities across SQL Server, PostgreSQL, and Oracle environments, reducing data preparation time by 35%.
• Collaborated with healthcare stakeholders, business analysts, and reporting teams to gather requirements, translate clinical needs into analytical solutions, and deliver executive reports aligned with HIPAA and HITECH compliance standards.
• Implemented analytical models using Python statistical libraries and exploratory data analysis (EDA) to identify healthcare utilization trends, improving forecasting capabilities and supporting strategic decisions across population health programs.
• Supported Agile delivery initiatives throughout the SDLC lifecycle, participating in requirement analysis, testing, validation, and stakeholder reviews to deliver healthcare analytics solutions with improved reporting efficiency and operational transparency.

Data Analyst - Accenture India - India

(2022-04 - 2024-05)

• Developed Tableau dashboards to analyze provider performance and reimbursement trends, improving decision-making speed for stakeholders.
• Executed data cleaning, transformation, and validation across SQL Server and MySQL databases, improving data integrity by 25% and ensuring reliable data inputs for healthcare analytics and reporting.
• Collaborated with compliance, audit, and risk teams to ensure adherence to HIPAA and HITECH regulations, maintaining audit readiness and supporting secure healthcare data governance practices.
• Automated healthcare reporting and KPI dashboards using Power BI and AI-assisted analytics, reducing manual reporting effort by 38% while enabling real-time visibility into patient care and operational metrics.
• Optimized healthcare data quality and interoperability through ETL validation and AI-driven anomaly detection models, improving data accuracy by 31% across clinical, claims, and regulatory reporting environments.

Business Analyst - Accenture India - India

(2021-08 - 2022-04)

• Partnered with finance, procurement, and operations teams to gather and document business requirements for invoice, supplier, and payment reporting from SAP and NetSuite, ensuring alignment between business needs and technical solutions.
• Translated stakeholder requirements into functional specifications, data mappings, and validation rules, reducing ambiguities and minimizing rework during development and testing.
• Performed in-depth analysis of large-scale claims and EHR datasets using SQL, SAS, and Advanced Excel, supporting payer adjudication processes and improving business decision accuracy across client engagements.

Master of Science - Business Analytics - University at Buffalo (North Campus) (2025-05) Buffalo, NY