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ZHAOYANG ZHANG
Entry-level Financial Data Analyst specializing in analytics and compliance reporting
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About
Current financial data analyst at Maximus with hands-on experience building SQL and Python reporting pipelines for expenditure, refund, and retention analysis. Stands out for turning messy multi-source financial data into trusted dashboards, automating reporting to save 15+ hours weekly, and driving measurable reductions in refund rates through cohort-based analysis.
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Key Strengths
- Built SQL reporting layers for financial expenditure and refund tracking
- Strong data quality remediation for inconsistent IDs, duplicates, and anomalies
- Designed reproducible Python analytics pipelines with modular structure and QA checks
- Automated manual financial reporting, saving 15+ hours per week
- Translated analysis into stakeholder-facing dashboards and operational process changes
- Owned end-to-end refund analytics using segmentation and cohort analysis
- Quantified business impact through pre/post cohort comparisons controlling for volume
- Defined and operationalized retention metrics across conflicting stakeholder definitions
- Performance optimization through indexing and incremental transformation design
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