Prabhu Andivelu

About Prabhu Andivelu

I build analytics systems that help companies make clear, fast, high-quality decisions.I lead teams that design KPI frameworks, dbt/Snowflake data models, semantic layers, and executive reporting used across Product, Operations, and Engineering. My work focuses on turning ambiguous questions into measurable frameworks, building scalable metric ecosystems, and producing insights that influence VP/C-suite direction.I’ve owned data and analytics for high-volume operational domains (Air, Ocean, Operations), delivering better measurement, faster insights, and data quality frameworks that allow leaders to trust what they’re seeing.Recently, I’ve been driving modernization work—event instrumentation, metric governance, anomaly detection, automated quality checks, and AI-assisted analytics tools that reduce manual work and help stakeholders self-serve answers.I’m passionate about building strong teams, simplifying complexity, and using data to uncover root causes, shape strategy, and move the business forward.I’m open to connecting with teams building scalable analytics, data quality systems, experimentation frameworks, or AI-driven measurement platforms.

Experience

1. Analytics Lead

   Flexport

   Jul 2024 — Present

   Lead analytics across Air, Ocean, and Operations, owning KPI strategy, data quality, and executive insights that guide decisions for VP- and C-level leaders.• Built end-to-end Snowflake/dbt data models and metric layers used by BI consumers, modernizing legacy pipelines into scalable, governed, and test-covered systems.• Drive experimentation, causal analysis, and forecasting for high-impact product and operational decisions, quantifying business impact and shaping roadmap priorities.• Partner with Product, Engineering, and Ops to define instrumentation, event schemas, and unified measurement standards across global workflows.• Own and automate WBR/EWBR reporting, turning complex operational and product signals into clear narratives that highlight risks, trends, and strategic actions.• Accelerated analytics velocity by implementing automated anomaly detection, CI-based data tests, and self-serve dashboards that reduce ad-hoc dependency.• Coach and level up analysts through mentorship in SQL, modeling, experimentation, and storytelling, raising analytical maturity and data literacy across the org.

Education

• PSG College of Technology

  Bachelors, Production Engineering Engineering Economics & Financial Mgmt

  2004 — 2009

• Arizona State University

  Master of Science, Industrial Engineering; Industrial Statistics & Quality Control

  2010 — 2012

Skills

• Arena
• Sql Server
• Teradata
• Ms Office Tools
• Mysql
• Minitab
• Ms Project
• Microsoft Visio
• Data Analysis
• Ampl
• Visual Basic
• Sql
• Xml
• Html/Xml
• Autocad
• Six Sigma
• Access
• Databases
• Quality Assurance
• Analysis
• Microsoft Office
• Sas
• Industrial Engineering
• Microsoft Excel
• Data Mining
• Design of Experiments
• Statistics
• Visio
• Ansys
• Engineering
• C
• Business Analysis
• Operations Research
• Microsoft Sql Server
• Vba
• Salesforce.com
• Regression
• Excel
• Root Cause Analysis
• Statistical Modeling