I’m looking for a Senior Data Analyst or Analytics role where I can turn ambiguous business questions into KPI frameworks, reliable data pipelines, and self-service dashboards. I’m most interested in financial services, fintech, and healthcare teams that work closely with product, engineering, and data science, using tools like SQL, Python, Snowflake, dbt, Tableau, and Power BI.
Looking for a job
sreya p
@sreyap
Senior Data Analyst with ~5 years in financial services and healthcare analytics: SQL, Python, Snowflake, dbt, Tableau, and Power BI.
United StatesWhat I'm looking for
At Capital One, I analyzed customer churn and behavior across 500K+ credit card accounts, identifying four leading indicators for a targeted retention initiative projected to improve customer lifetime value by 8%. I also automated weekly BI reporting, eliminating 15 hours of manual work each week.
I built interactive Tableau KPI dashboards for the credit card portfolio, enabling self-service analytics for 50+ stakeholders. Using Snowflake and dbt, I developed reusable data transformations and validation tests that supported BI and Data Science teams.
At Blue Cross Blue Shield, I analyzed claims data to detect anomalous billing patterns across 50+ provider accounts, prompting a formal Fraud, Waste, and Abuse investigation. I also delivered healthcare KPI dashboards and engineered data quality routines across ETL pipelines.
At Vanguard, I built a Python client segmentation model that drove a 15% uplift in conversion rates for new investment products. I also automated fund performance ETL, reducing processing time from 10 hours to 30 minutes, and designed A/B experiments that informed digital platform changes.
Experience
Work history, roles, and key accomplishments
Current
Led customer churn and behavior analysis across 500K+ credit card accounts, identifying leading indicators that informed a retention initiative projected to improve customer lifetime value by 8%. Automated weekly BI reporting in Python/Pandas, eliminating 15 hours of manual work per week.
Detected anomalous billing patterns across 50+ provider accounts through advanced SQL analysis of large-scale claims data, prompting a formal Fraud, Waste, and Abuse investigation. Automated member enrollment and provider network reporting using Python, Pandas, and SQL stored procedures, reducing weekly report generation time by 90%+.
Built a client segmentation model in Python (Scikit-learn) for targeted marketing campaigns, driving a 15% uplift in conversion rates. Automated quarterly fund performance ETL using SQL, Python, AWS Glue, S3, and Redshift, reducing processing time from 10 hours to 30 minutes.
Education
Degrees, certifications, and relevant coursework
University of North Texas
Master of Science, Data Science
Master of Science in Data Science from the University of North Texas, completed in May 2025.
Tech stack
Software and tools used professionally
Availability
Looking for a job
Location
United StatesAuthorized to work in
Salary expectations
45k+ USD
Social media
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