Data Analyst Resume – 5 Years Experience -Healthcare Analytics- SQL- Python- Tableau- Power BI
A results-driven Data Analytics professional with around 5 years of experience in analyzing, visualizing, and deriving actionable insights from complex datasets. Strong expertise in healthcare data analytics, forecasting, and business intelligence using SQL, Python, Tableau, and Power BI. Proven track record of optimizing processes, enhancing data-driven decision-making, and delivering insights that drive organizational success.
Technical Skills:
Data Analysis & Visualization:
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Power BI, Tableau, Excel, Data Cleaning, Data Wrangling
Programming:
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Python (Pandas, NumPy)
Databases:
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SQL (Joins, Subqueries, CTEs, Window Functions, Data Extraction)
Statistics:
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Descriptive & Inferential Statistics, Hypothesis Testing
Tools:
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Advanced Excel (Pivot Tables, VLOOKUP, Power Query)
Version Control & Collaboration:
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Git, Jira, SharePoint, Power BI Service
Soft Skills:
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Problem-Solving, Attention to Detail, Effective Communication
Key Experience & Responsibilities:
Data Analyst – Current Role
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Analyzed large healthcare and insurance datasets using SQL and Python to support operational and strategic decision-making
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Designed and developed Power BI and Tableau dashboards to track KPIs such as readmission rates, claims settlement, and customer churn
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Performed data cleaning, validation, and transformation to ensure data accuracy across multiple data sources
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Conducted exploratory data analysis (EDA) to identify trends, anomalies, and optimization opportunities
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Collaborated with cross-functional stakeholders to gather requirements and define business metrics
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Automated recurring reports and dashboards, reducing manual effort and improving reporting efficiency
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Maintained documentation for analysis processes and insights to support audit and compliance needs
Key Projects:
Project 1: Patient Admission & Readmission Summary Analytics (Healthcare)
Tools: SQL, Python (Pandas, NumPy), Power BI, Excel
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Extracted patient admission and readmission data from Electronic Health Records (EHR) and hospital management systems
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Integrated and merged datasets from multiple sources to create a single analytical data model
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Performed exploratory data analysis (EDA) using Python to identify trends in admission rates, readmission frequency, and patient demographics
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Built Power BI dashboards to track KPIs such as readmission rate, cost per admission, and patient satisfaction
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Applied statistical analysis to summarize findings and support data-driven decisions
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Delivered actionable insights to optimize discharge processes and follow-up care strategies
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Monitored the impact of interventions on reducing readmission rates over time
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Collaborated with healthcare providers, case managers, and administrative teams to align analytics initiatives with patient care goals
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Presented insights and recommendations to hospital leadership through dashboards and presentations
Project 2: Insurance & Financial Data Analytics
Tools: SQL, Tableau, Excel
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Collected, cleaned, and validated insurance data from policy management, claims, CRM, and sales systems
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Developed complex SQL queries, joins, subqueries, and stored procedures to support reporting and analysis
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Performed advanced data analysis using Excel (Pivot Tables, VLOOKUP, Power Query, Macros) for ad-hoc reporting
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Designed and maintained interactive Tableau dashboards to visualize KPIs including claim settlement rates, premium collections, policy lapses, and customer churn
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Conducted EDA to identify anomalies, fraud indicators, and business improvement opportunities
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Partnered with business stakeholders to define metrics, KPIs, and reporting requirements
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Ensured data accuracy, integrity, and compliance with insurance industry standards and regulatory requirements
Ideal For:
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Full-time Data Analyst / Business Intelligence Analyst roles
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Healthcare and insurance analytics projects
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Dashboard development and reporting automation
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Remote or Chennai-based opportunities
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Important Notice
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