Jitheesh Vijayan
@jitheeshvijayan
Senior Data Analyst with 12+ years turning complex data into dbt/Databricks-ready models, dashboards, and experiments.
CanadaWhat I'm looking for
I’m a Senior Data Analyst with 12+ years building scalable data models, experimentation frameworks, and BI systems that transform complex data into reliable, analytics-ready datasets. I focus on using dbt, Databricks, and cloud platforms to give product and operational teams trustworthy metrics they can act on.
In my most recent role, I owned analytics for a 94M+ MAU mobile product and led 20+ A/B tests with product and engineering. I built dbt + Databricks data models and pipelines for self-serve analytics, and delivered executive Tableau dashboards to standardize KPI tracking for leadership decision-making.
Before that, as a Business Intelligence Engineer-II at Amazon, I led BI and analytics for Redshift/QuickSight/Tableau to optimize warehouse load and forecasting accuracy. I also built ML/NLP-style pipelines and automated detection workflows using AWS, and earlier I delivered end-to-end enterprise analytics (MMM, forecasting, anomaly detection) as an Analytics Consultant.
Experience
Work history, roles, and key accomplishments
Owned analytics for a 94M+ MAU mobile product and led 20+ A/B tests with product/engineering to improve engagement, trial conversion, and subscriptions. Built dbt + Databricks pipelines enabling self-serve analytics and delivered executive Tableau dashboards for standardized KPI tracking.
Led BI and analytics for warehouse load optimization using Redshift, QuickSight, and Tableau, supporting data-driven fulfillment and planning decisions. Improved forecasting accuracy by 10% and reduced search abuse by 350 bps using AWS Lambda detection; built an NLP backfill pipeline improving coverage of 30 search filters by 3000 bps.
Delivered end-to-end analytics for enterprise clients, building BI dashboards and statistical models (MMM, forecasting, anomaly detection) using SQL, Python, R, and Tableau. Reduced anomaly detection lag by 80% with PySpark-based structural break detection and improved conversion funnel performance by 400 bps through behavioral analytics and targeted optimization.
Performed maintenance on a Java-based order management application for a telecom company in the USA and supported software maintenance and testing activities. Developed and tested a network performance monitoring system for a telecom client in Australia.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Management Rohtak
Master of Business Administration, Marketing, IT
2012 - 2014
Completed an MBA at IIM Rohtak with specialization in Marketing and IT, including coursework in Business Analytics, Marketing Research, and Quantitative Methods.
Cochin University of Science and Technology
Bachelor of Technology, Electronics and Communication Engineering
2005 - 2009
Completed a B.Tech in Electronics and Communication Engineering with a focus on Probability & Statistics and Programming.
Tech stack
Software and tools used professionally
Availability
Location
CanadaAuthorized to work in
Social media
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