Vignesh Bugga
Data Analyst @Williams-Sonoma, Inc.
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WORK HISTORY
Data Analyst @Williams-Sonoma, Inc.
Phoenix, AZ, US
Supported analytics and reporting for Williams-Sonoma’s Arizona Distribution Center (ADC)a high-volume,ASRS-enabled facility processing orders per day• Partnered with operations,warehouse managers,and IT teams to analyze business processes,document requirements,and translate operational workflows into data-driven insights for receiving,picking,packing,and consolidation• Analyzed warehouse performance metrics including order throughput,SLA adherence,exception rates,and inventory accuracy,enabling continuous process optimization• Built and maintained operational dashboards and reports to monitor order exceptions,shipment failures,and system performance across multiple warehouse zones• Used SQL and backend data analysis (Oracle DB) to investigate order cancellations,failed transactions,and shipment closures,reducing operational downtime by 20+ hours per week• Performed Root Cause Analysis (RCA) on recurring operational and system issues using log data and Elastic/Kibana,reducing issue recurrence by 30%• Conducted variance analysis for DTC and Retail orders,improving data accuracy,inventory visibility,and fulfillment reliability• Analyzed carrier and shipping data (UPS, FedEx, regional carriers, drop-ship vendors) to optimize Carrier Network Optimization (CNO) rules,improving delivery speed and service-level compliance• Monitored data flows and integrations between WMOS,WES,OMS,ProShip,and Savoye,identifying data gaps and improving data quality across systems• Supported Ship From Store (SFS) analytics by analyzing failed transmissions and shipping exceptions,reducing order delays• Developed alerts and monitoring logic for missing tracking numbers,label failures,and communication breakdowns,improving operational visibility• Supported UAT and Go-Live analytics validation,ensuring data accuracy,reporting readiness,and 99.9% system uptime during major releases
EDUCATION
Trine University
Masters Business Analytics , Masters Business Analytics
ABOUT VIGNESH BUGGA
I’m a results-driven Data Analyst with over 7 years of experience turning complex data into actionable insights across healthcare, finance, retail, and supply chain domains. My expertise spans SQL, Python, Power BI, Tableau, and cloud platforms like Azure, AWS, and GCP — enabling me to design data pipelines, optimize reporting workflows, and deliver business-critical dashboards that empower decision-making. And i have experience in warehouse analytics,supply chain operations,and advanced data technologies.At Williams Sonoma,I work closely with SAVOYE’s intelligent automation platform and Manhattan Active Warehouse Management,transforming operational data into insights that improve accuracy,efficiency,and productivity.A passion for solving real-world problems and building scalable analytical solutions.I enjoy converting complex warehouse and logistics data into meaningful dashboards and predictive models that drive better decisionsIn my career, I’ve: • Designed interactive dashboards in Power BI and Tableau, cutting reporting time by up to 30%. • Built end-to-end ETL pipelines using Azure Data Factory, Databricks, Snowflake, and AWS Glue. • Developed predictive models in Python (Scikit-learn) to improve forecasting accuracy by 15%. • Automated workflows for data validation, reconciliation, and ML model retraining, ensuring high-quality, up-to-date insights. • Partnered closely with stakeholders to translate requirements into scalable BI solutions, from business requirement documents (BRDs) to UAT-ready reports.I bring a unique blend of data analytics, data engineering, and business intelligence skills — with hands-on experience in data governance, KPI tracking, and performance optimization. My work has helped organizations improve operational efficiency, reduce costs, and make faster, smarter decisions.Currently, I’m focused on transitioning into Data Engineering, expanding my skills in big data technologies, Spark, and cloud-based architectures, while continuing to deliver impactful analytics solutions.Core Skills: Data Analysis | Data Engineering | SQL | Python | Tableau | Power BI | Azure Data Factory | Databricks | Snowflake | AWS Glue | GCP Dataflow | Machine Learning | ETL | KPI Dashboards | Data Governance
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