Open to opportunities

silvana chain

@silvanachain

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Data analytics manager specializing in healthcare claims, SQL, and team leadership.

United States

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What I'm looking for

I seek a role where I can lead analytics initiatives in healthcare, improve ETL and reporting processes, mentor analysts, and drive measurable financial recovery while working in a collaborative, compliance-focused environment.

I am a data analytics manager with hands-on experience leading teams that analyze healthcare claims to recover underpaid and zero-balanced payments. I combine strong technical skills in SQL, Python, and ETL design with domain knowledge of medical coding, billing, and EHR systems to deliver audit-ready financial insights.

In prior roles I built complex SQL workflows, automated recurring processes to improve reporting turnaround by 30%, and worked directly with Epic and Cerner clinical and billing data. I mentor analysts, implement scalable data pipelines, and ensure analytics align with compliance and reimbursement goals.

I hold a Bachelor’s Degree in Computer Science from the University of South Florida and a Systems Engineering degree from Universidad del Norte, and I am certified in DP-900 Azure Data Fundamentals. I seek opportunities where I can drive measurable financial recovery, improve analytics operations, and develop high-performing teams.

Experience

Work history, roles, and key accomplishments

Current

Data Analytics Manager

Current

Healthcare Retroactive Audits

Mar 2025 - Present (10 months)

Manage and mentor a team of data analysts to oversee analytics operations identifying underpaid and zero-balanced healthcare claims; designed SQL workflows and ETL processes to scale processing across millions of hospital claim records and deliver audit-ready reports under strict deadlines.

SQL Python ETL Healthcare Billing Epic Cerner Data Visualization Report Automation

Data Analyst

Healthcare Retroactive Audits

Oct 2024 - Mar 2025 (5 months)

Built and maintained complex SQL queries and automated data workflows to extract, clean, and analyze large-scale hospital billing data, reducing reporting turnaround time by 30% and supporting identification of underpaid and zero-balanced claims.