Data Analyst - Healthcare & AIOps Insights

Manishankar Pothuraju

Email: ****************@*****.*** Mobile: 940-***-**** Linked In

PROFESSIONAL SUMMARY

Data Analyst with 4+ years of experience delivering data-driven insights across Healthcare, Financial Services, and Technology domains. Skilled in SQL, Python, R, Tableau, Power BI, and Excel for advanced data analysis, business intelligence reporting, dashboard development, and statistical modeling. Proven expertise in analyzing large and complex datasets, developing KPI scorecards, conducting trend analysis, forecasting, A/B testing, and transforming data into actionable business recommendations. Strong experience partnering with cross-functional stakeholders to define business requirements, improve reporting processes, ensure data quality, and drive strategic decision-making. Experienced in AI-powered operational analytics (AIOps), utilizing intelligent automation, anomaly detection, predictive insights, and data-driven monitoring to improve reporting accuracy and operational efficiency. Adept at data validation, root cause analysis, executive reporting, and performance optimization, with a track record of delivering analytical solutions that improve operational efficiency, business outcomes, and organizational growth.

TECHNICAL SKILLS

Programming & Analytics: SQL, Python, R, DAX, Power Query, Pandas, NumPy, Spark SQL, Jupyter Notebook

Data Visualization & Business Intelligence: Power BI, Tableau, Looker, QlikView, Google Data Studio, Microsoft Excel, Dashboard Development, Executive Reporting, KPI Development, Data Storytelling, Self-Service Analytics

Healthcare Analytics: Healthcare Claims Analytics, Pharmacy Analytics, Membership Analytics, Clinical Analytics, Healthcare Reporting, Healthcare Operations, ICD-10, CPT, HCPCS

Data Analysis & Statistics: Exploratory Data Analysis (EDA), Statistical Analysis, Predictive Analytics, Data Mining, A/B Testing, Hypothesis Testing, Regression Analysis, Time Series Analysis, Forecasting, Trend Analysis, Root Cause Analysis

Databases & Data Warehousing: SQL Server, MySQL, PostgreSQL, Oracle, Snowflake, Amazon Redshift, Azure SQL Database

Data Engineering & Integration: ETL/ELT, Data Integration, Data Transformation, Data Modeling, Data Warehousing, Data Migration, Data Ingestion Pipelines, Data Validation, Data Reconciliation, JSON, XML, CSV

Big Data & Cloud Platforms: Databricks, PySpark, AWS, Microsoft Azure, Google Cloud Platform (GCP), Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Microsoft Fabric, Microsoft Purview

Data Quality & Governance: Data Quality Assurance, Data Governance, Metadata Management, Data Lineage, Master Data Management (MDM), Data Integrity, Data Documentation

AI & Modern Analytics: Generative AI, OpenAI, Microsoft Copilot, Prompt Engineering, Machine Learning Fundamentals

Professional Skills: Business Analysis, Decision Support, Reporting Automation, Stakeholder Management, Requirements Gathering, Cross-Functional Collaboration, Agile, Scrum, Kanban

WORK EXPERIENCE

Cigna Health Jul 2025 to Present

Senior Data Analyst USA

•Analyzed large-scale healthcare claims, membership, and utilization data using SQL and Python to identify patient behavior trends, provider performance, and cost drivers, enabling care management teams to optimize resource allocation and improve operational efficiency.

•Designed, developed, and maintained scalable ETL pipelines using AWS Redshift, Amazon S3, and Databricks, reducing batch processing time by 35% while ensuring accurate, timely, and reliable healthcare data availability.

•Built automated reporting pipelines and executive KPI dashboards in Tableau and Power BI to monitor readmission rates, claims turnaround time, prior authorizations, pharmacy utilization, and quality metrics, supporting faster clinical and operational decision-making.

•Optimized MySQL databases and automated recurring reporting processes, ad hoc analysis, and monthly data refreshes using SQL, Python, and Power BI, significantly reducing manual reporting effort and improving report delivery timelines.

•Developed interactive Tableau and Power BI dashboards providing real-time visibility into claims, revenue, provider performance, and healthcare operational metrics, reducing report generation time by 20% and improving executive reporting.

•Applied statistical analysis, A/B testing, and predictive analytics using Python and R to evaluate healthcare programs, patient engagement initiatives, and operational improvements, delivering actionable insights that enhanced business performance.

•Designed and maintained 10+ enterprise dashboards integrating claims, pharmacy, financial, and operational data, providing self-service analytics that supported executive leadership in strategic planning and contributed to measurable revenue and operational improvements.

•Partnered with cross-functional teams including clinical operations, finance, product, engineering, and business stakeholders to define KPIs, translate business requirements into analytical solutions, and deliver trusted data products for enterprise reporting.

•Led healthcare data migration and data warehouse modernization initiatives by implementing robust data validation, lineage tracking, and business rule governance, ensuring high data quality, regulatory compliance, and reliable enterprise analytics.

Technologie Used: SQL, Python, R, Databricks, Spark SQL, AWS Redshift, Amazon S3, Tableau, Power BI, Microsoft Excel, MySQL, ETL, Data Warehousing, Data Modeling, Data Validation, Data Quality, Data Integration, Healthcare Claims Analytics, Healthcare Reporting, KPI Dashboards, JSON, XML, CSV, Git, Jira.

Compass group - Wichita Falls, TX - Part Time

Data Analyst - Jan 2024 to May 2025

Analyzed sales, workforce, and operational data using SQL and Excel to generate reports and insights that supported business decision-making across multiple Compass Group locations.

Developed dashboards and KPI reports in Power BI and Excel to track business performance, inventory trends, labor utilization, and customer service metrics.

Performed data validation, cleansing, and reconciliation activities to ensure accuracy and consistency of reporting data from multiple operational systems.

Collaborated with operations and management teams to gather reporting requirements and provide analytical support for budgeting, forecasting, and operational improvements.

Automated recurring reporting processes and ad hoc analysis using SQL and Excel, reducing manual effort and improving reporting efficiency and turnaround time.

Technologies Used: SQL, Excel, Power BI, Data Visualization, KPI Reporting, Business Intelligence, Data Validation, Reporting Automation, Forecasting, ETL, Agile Methodology

Infosys Limited Jan 2020 to Aug 2023

Senior Data Analyst India

•Designed and implemented analytical data models using SQL, improving reporting accuracy and enabling data-driven decision-making across healthcare operations.

•Developed interactive Tableau dashboards and executive reports, allowing stakeholders to visualize trends, monitor key metrics, and make informed business decisions.

•Collaborated with analytics and business teams to support predictive analytics initiatives and translate analytical findings into actionable recommendations.

•Conducted detailed trend analysis and business performance assessments, identifying opportunities for operational improvements and strategic growth initiatives.

•Engaged with stakeholders to gather reporting requirements, collect feedback, and continuously enhance reporting solutions to align with evolving business needs.

•Automated recurring reporting and data preparation activities, reducing manual effort and improving data accessibility for business users.

•Created comprehensive documentation for reporting processes, business definitions, and analytical workflows, supporting knowledge sharing and reporting consistency.

•Participated in Agile project delivery, contributing to sprint planning, stakeholder reviews, and timely delivery of reporting and analytics solutions.

•Supported data governance and quality initiatives, ensuring reporting accuracy, consistency, compliance, and trust in analytical outputs.

•Provided mentorship to junior analysts, promoting best practices in reporting, analytics, stakeholder communication, and data visualization.

Environment:

Tableau, SQL, Excel, Python, Data Analysis, Data Visualization, Reporting, Business Intelligence, Predictive Analytics, Trend Analysis, Stakeholder Communication, Data Governance, Executive Reporting, Dashboard Development

CERTIFICATIONS

Databricks Certified Data Engineer Associate

AWS Certified Data Analytics - Specialty

EDUCATION

Masters of Business Administration in Business Analytics Midwestern State University 3.45 GPA

Bachelors in Electronics and Communication Engineering JNTUH 7.9 GPA

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