Data Analyst Business

Rahul S

Business Data Analyst

+1-928-***-**** *************@*****.*** LinkedIn

PROFESSIONAL SUMMARY

Business Data Analyst with 3+ years of experience delivering data-driven insights and solutions across the healthcare and consulting sectors. Skilled in transforming complex data into actionable intelligence using SQL, Python, Power BI, and Tableau. Proven success in building predictive ML models, streamlining healthcare workflows, and ensuring HIPAA and HITECH compliance. Adept in creating detailed business documentation (BRD, FRD), conducting UAT, and driving cross-functional Agile collaboration. Strong cloud expertise across AWS, Azure, and GCP, with hands-on ETL experience using Alteryx, Airflow, and dbt. Committed to enhancing operational efficiency, improving reporting timelines, and enabling strategic decision-making through advanced analytics and automation. TECHNICAL SKILLS:

• Business Analysis & Documentation: BRD, FRD, Business Process Model and Notation

• Data Analysis & Programming: SQL (MySQL, PostgreSQL, MS SQL), Python (Pandas, NumPy), Excel (Pivot Tables, VLOOKUP)

• Data Visualization & BI Tools: Power BI, Tableau, Looker, Domo

• ETL & Data Tools: Alteryx, Talend, Informatica, dbt

• Cloud & Big Data Tools: Google BigQuery, Snowflake, AWS Redshift, Azure Synapse

• Testing & QA Skills: UAT, Test Scenarios, Functional Testing, Data Modelling

• Machine Learning: Regression, Classification, Decision Trees, Random Forest

• Statistical Methods: A/B Testing, Clustering, Forecasting, Power Automate, Business Analytics

• Project Management: JIRA, Confluence, Azure DevOps, Lucidchart PROFESSIONAL EXPERIENCE

Business Data Analyst CVS Health Jul 2024 – Present

• Analyzed complex healthcare supply chain and patient datasets to identify inefficiencies, driving a 25% improvement in overall operational efficiency.

• Documented detailed business requirements, reducing project rework by 20% and enhancing clarity between stakeholders and technical teams.

• Developed and deployed a machine learning model using logistic regression and decision trees to predict patient no-shows, enabling scheduling optimizations that improved clinic utilization rates by 18%.

• Spearheaded HIPAA and HITECH compliance strategies by conducting over 12 risk assessments and enhancing AWS- based data security, achieving a 40% reduction in security vulnerabilities.

• Applied clustering algorithms (K-Means) on patient behavior and claims data to segment high-risk groups, leading to a targeted outreach program that reduced ER visits by 12% over a quarter.

• Crafted and deployed 15+ interactive dashboards in Power BI and Tableau, enhancing supply chain visibility and enabling real-time decisions that reduced reporting lag by 30%.

• Led automation efforts in pharmaceutical distribution systems, resulting in a 30% gain in order management accuracy.

• Analyzed 10M+ healthcare records using SQL and Redshift to uncover 5 compliance gaps, improving audit readiness by 20%.

• Authored BRDs, FRDs, and user stories that improved developer-stakeholder alignment and accelerated delivery by 30%.

• Orchestrated comprehensive UAT by designing 100+ test cases, resulting in zero critical post-deployment issues and a 35% rise in release quality.

• Contributed to over 20 Agile ceremonies, accelerating AWS cloud-based solution deployment timelines by 20% and raising sprint velocity by 15%.

Business Intelligence Analyst Fortis Healthcare. Mar 2022 – Dec 2023

• Aligned business requirements with enterprise transformation goals by engaging with 6+ cross-functional teams, which reduced project rework by 25%.

• Identified and automated repetitive workflows, resulting in a 25% operational efficiency increase.

• Ensured full regulatory compliance with HIPAA and NABH standards in collaboration with compliance teams, leading to a 100% audit success rate and 35% lower legal risk.

• Built interactive dashboards using Power BI and Azure Data Services, accelerating report generation by 30%.

• Converted business objectives into 30+ user stories, BRDs, and FRDs, facilitating seamless communication and increasing delivery accuracy by 40%.

• Engineered 75+ test scenarios during UAT cycles, maintaining a 98% pass rate and cutting post-launch defects by 50%.

• Leveraged Agile methodology to increase sprint velocity by 45% and improve time-to-market.

• Derived strategic insights from Azure SQL datasets, which elevated forecasting accuracy by 28% and enhanced operational planning by 15%.

ACADEMIC QUALIFICATIONS

Masters in Science Business Analytics – Northern Arizona University, AZ, USA Bachelors of Business Administration – Osmania University – India

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