Senior Data Analyst with over 5 years of experience in turning millions of data points into actionable models and insights to drive business growth. Expert in writing complex SQL queries against Snowflake and building high-performance dashboards in Tableau and Hex to improve visibility across sales, operations, and finance teams. Proven track record of automating manual reporting workflows from Google Sheets to scalable BI solutions, enhancing self-service access and decision-making speed. Skilled in analytics engineering concepts and leveraging AI tools to optimize data processing and documentation. Dedicated to improving customer acquisition and retention through precise data-driven advisory and cross-functional collaboration.
Senior Data Analyst with over 5 years of experience in turning millions of data points into actionable models and insights to drive business growth. Expert in writing complex SQL queries against Snowflake and building high-performance dashboards in Tableau and Hex to improve visibility across sales, operations, and finance teams. Proven track record of automating manual reporting workflows from Google Sheets to scalable BI solutions, enhancing self-service access and decision-making speed. Skilled in analytics engineering concepts and leveraging AI tools to optimize data processing and documentation. Dedicated to improving customer acquisition and retention through precise data-driven advisory and cross-functional collaboration.
- Optimized complex SQL queries in Snowflake to validate microservices data, reducing end-to-end processing time by 40%.
- Migrated 15+ manual report tracking systems from Google Sheets into automated SQL-driven workflows in Hex for better scalability.
- Built and published interactive Tableau dashboards to provide stakeholders with real-time visibility into business performance metrics.
- Led analytics requests from sales and marketing teams to translate complex data points into actionable acquisition and retention insights.
- Documented data processes and definitions to enable transparent self-service analytics and data trustworthiness across the organization.
- Developed AI algorithms for robotic navigation using Python, improving pathfinding efficiency for research models by 15%.
- Optimized robotic control systems through performance validation, reducing simulation errors by 20% during trial runs.
- Built technical infrastructure for autonomous agent workflows to support data-intensive research and predictive modeling projects.
- Presented complex technical findings and data models to non-technical university stakeholders and external research partners.
- Managed data collection and preprocessing pipelines using SQL and Python to support machine learning model development.
- Executed complex SQL and PL/SQL queries against Snowflake and Couchbase to validate billing data, identifying 50+ critical anomalies.
- Investigated system logs using Splunk and Kibana, accelerating defect resolution and boosting product quality by 20%.
- Automated recurring sanity reports to provide stakeholders with real-time visibility into environment and pipeline stability.
- Migrated manual data verification tasks into automated scripts to improve consistency for finance and supply chain teams.
- Collaborated with cross-functional engineering teams to ensure high-performance data functionality for cloud-native services.
- Managed production environments daily, maintaining 99% system availability through proactive monitoring and data validation.
- Monitored automated daily batch jobs using automation tools, identifying and resolving 15+ critical data failures before impact.
- Performed comprehensive User Acceptance Testing (UAT) on applications to ensure functional integrity and reporting accuracy.
- Documented environment management procedures to streamline onboarding and facilitate self-service reporting processes.
- Partnered with operations teams to align server maintenance schedules with business reporting requirements and peak hours.
- Developed SQL queries to validate data accuracy for web applications, identifying 30+ data inconsistencies for the engineering team.
- Supported Agile SDLC by conducting unit testing and resolving defects, improving deployment stability by 15%.
- Built automated test cases based on functional requirements to maintain high software quality and data integrity standards.
- Documented database design activities and data flow definitions to support system transparency and long-term maintenance.
- Participated in cross-functional team meetings to communicate findings and potential data risks to project stakeholders.