I am a Revenue Attribution Architect & Digital Measurement Strategist who builds the analytical infrastructure that turns fragmented channel data into boardroom-ready decisions. Over five years embedded inside Canada's largest financial services and telecommunications enterprises, I engineer measurement ecosystems that influence nine-figure media budgets, run disciplined experimentation at scale, and produce intelligence that finance, product, and marketing teams can act on the same day it surfaces. My work blends data engineering, attribution science, and product-led analytics to illuminate where growth comes from. From e-commerce funnel instrumentation to cross-device identity stitching and real-time publisher intelligence, I translate complex signals into actionable insights and practical roadmaps that drive growth across retail, media, and subscription businesses.

Manish Chittanoori

I am a Revenue Attribution Architect & Digital Measurement Strategist who builds the analytical infrastructure that turns fragmented channel data into boardroom-ready decisions. Over five years embedded inside Canada's largest financial services and telecommunications enterprises, I engineer measurement ecosystems that influence nine-figure media budgets, run disciplined experimentation at scale, and produce intelligence that finance, product, and marketing teams can act on the same day it surfaces. My work blends data engineering, attribution science, and product-led analytics to illuminate where growth comes from. From e-commerce funnel instrumentation to cross-device identity stitching and real-time publisher intelligence, I translate complex signals into actionable insights and practical roadmaps that drive growth across retail, media, and subscription businesses.

Available to hire

I am a Revenue Attribution Architect & Digital Measurement Strategist who builds the analytical infrastructure that turns fragmented channel data into boardroom-ready decisions. Over five years embedded inside Canada’s largest financial services and telecommunications enterprises, I engineer measurement ecosystems that influence nine-figure media budgets, run disciplined experimentation at scale, and produce intelligence that finance, product, and marketing teams can act on the same day it surfaces.

My work blends data engineering, attribution science, and product-led analytics to illuminate where growth comes from. From e-commerce funnel instrumentation to cross-device identity stitching and real-time publisher intelligence, I translate complex signals into actionable insights and practical roadmaps that drive growth across retail, media, and subscription businesses.

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Language

English
Fluent

Work Experience

Digital Data Analyst at Walmart Canada
January 1, 2025 - Present
Led end-to-end e-commerce funnel instrumentation by redesigning the web/app event schema and implementing GTM/Firebase; built a BigQuery-powered funnel dashboard covering from product impression to order. Achieved checkout abandonment coverage improvement from 40% to 94.3% within 60 days. Built a 14-day multi-touch attribution model across the promo calendar, revealing display contributions to high-AOV purchases and informing budget allocations. Implemented a probabilistic cross-device identity stitching layer, improving cross-device journey resolution by 47.2% and revealing prior app touches for 31.4% of desktop transactions. Launched on-site search analytics and a retuning algorithm that lifted search-driven conversions by 13.6%.
Digital Data Analyst at Publicis Sapient
September 1, 2022 - December 1, 2024
Provided multi-client media analytics architecture and attribution for publisher accounts. Standardized GA4/GTMs across three clients, reducing onboarding time from weeks to days. Built a content-performance scoring model by joining GA4 with DFP logs, surfacing CPM drivers and lifting average session RPM by 21.3% within two quarters. Designed a 14-intent audience segmentation framework enabling direct advertiser packages to improve monetization. Implemented cross-client tag governance with QA scripts, achieving data quality scores above 97.4% within 90 days. Delivered real-time content dashboards (15-minute refresh), viewability measurements, weekly client intelligence, and SEO-discovery analysis that redirected content priorities toward high-retention topics.

Education

Bachelor of Engineering – Computer Science Engineering at Andhra University
January 11, 2030 - June 5, 2026

Qualifications

Google Analytics Individual Qualification (GAIQ)
January 11, 2030 - June 5, 2026
Microsoft Certified: Data Analyst Associate
January 11, 2030 - June 5, 2026
Adobe Analytics Business Practitioner
January 11, 2030 - June 5, 2026
AWS Certified Solutions Architect – Associate
January 11, 2030 - June 5, 2026
SQL for Marketing Analytics
January 11, 2030 - June 5, 2026

Industry Experience

Retail, Software & Internet, Media & Entertainment, Financial Services, Professional Services