I am a results-driven data analyst with around 5 years of experience delivering scalable analytics solutions across healthcare and supply chain. I transform complex data into actionable insights using Python, SQL, R, Power BI, Tableau, and advanced statistical techniques. I enjoy collaborating with cross-functional teams in Agile environments to automate reporting, improve operational performance, and drive KPI-driven business decisions. In my work, I design robust ETL pipelines using AWS and Azure, optimize data workflows, and strengthen data governance to support trusted analytics across organizations. I am committed to continuous improvement and delivering high-impact analytics aligned with strategic goals.

Jeevan Poudel

I am a results-driven data analyst with around 5 years of experience delivering scalable analytics solutions across healthcare and supply chain. I transform complex data into actionable insights using Python, SQL, R, Power BI, Tableau, and advanced statistical techniques. I enjoy collaborating with cross-functional teams in Agile environments to automate reporting, improve operational performance, and drive KPI-driven business decisions. In my work, I design robust ETL pipelines using AWS and Azure, optimize data workflows, and strengthen data governance to support trusted analytics across organizations. I am committed to continuous improvement and delivering high-impact analytics aligned with strategic goals.

Available to hire

I am a results-driven data analyst with around 5 years of experience delivering scalable analytics solutions across healthcare and supply chain. I transform complex data into actionable insights using Python, SQL, R, Power BI, Tableau, and advanced statistical techniques. I enjoy collaborating with cross-functional teams in Agile environments to automate reporting, improve operational performance, and drive KPI-driven business decisions.

In my work, I design robust ETL pipelines using AWS and Azure, optimize data workflows, and strengthen data governance to support trusted analytics across organizations. I am committed to continuous improvement and delivering high-impact analytics aligned with strategic goals.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Data Analyst at Centene
January 1, 2024 - Present
Designed and automated data quality and reporting pipelines using Python, SQL, and AWS Glue, accelerating claims data processing by 35% and improving downstream accuracy for healthcare analytics teams. Developed advanced Power BI dashboards to track member care utilization, reducing manual reporting effort by 50% and enabling proactive intervention for high-risk members. Leveraged AWS Redshift and Athena to analyze 5M+ member claims and eligibility records, improving decision-making for care management initiatives by 28%. Implemented ETL workflows in AWS Glue + S3 + Lambda, optimizing data ingestion latency for real-time operational dashboards. Enhanced data governance by creating data dictionaries, lineage documentation, and validation rules, reducing audit gaps by 25%.
Data Analyst at Wayfair
April 1, 2021 - December 1, 2023
Designed and deployed Tableau dashboards for merchandising and logistics teams, reducing weekly reporting time by 65% and improving visibility into delivery SLAs across 10+ distribution centers. Built and optimized ETL pipelines using Azure Data Factory and Databricks (PySpark) to automate ingestion of 8M+ daily records, improving data availability by 40%. Conducted customer behavior and conversion funnel analysis using Python (Pandas, NumPy, SciPy), enabling a 12% uplift in product page engagement. Executed complex SQL and PL/SQL transformations on Snowflake, SQL Server, and MySQL to support pricing intelligence, inventory allocation, and supplier scorecard reporting. Performed predictive analytics for demand planning and fulfillment operations, improving forecast accuracy by 18% and reducing backorders. Strengthened data quality with automated anomaly detection rules, decreasing reporting discrepancies by 30% and improving trust across stakeholder groups. Partnered with category mana

Education

Master of Science in Data Analytics at Georgia Tech University, Atlanta, USA
January 11, 2030 - January 21, 2026

Qualifications

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Industry Experience

Healthcare, Retail, Software & Internet