Summary
Overview
Work History
Education
Skills
Timeline
Generic

Arohi Agrawal

Rutherford

Summary

Analytics Engineer with 5+ years of experience designing scalable semantic layers, building cross-team data models, and delivering actionable insights that drive measurable business outcomes. Expertise in SQL (window functions, deduplication, incremental modeling), Looker modeling, and ELT validation in BigQuery. Experienced leading end-to-end analytics projects, defining standardized KPIs, and optimizing dashboards across editorial, sales, finance, and product teams. Completed dbt Foundations and lightweight Python training.

Overview

10
10
years of professional experience

Work History

Founder

Amazon Private Label Brand
Rutherford, NJ
05.2024 - Current
  • Launched and scaled a data-driven Amazon brand, achieving 30–35% month-over-month revenue growth within first 6 months
  • Managed full product lifecycle: sourcing, supply chain, inventory, vendor coordination, reducing stockouts by 35%
  • Executed pricing strategy, A/B testing, and promotions, boosting conversion by 20% and sales volume by 25%
  • Created and managed creative assets and Amazon PPC campaigns, optimizing ACOS by 25%
  • Built dashboards to track sales, margins, inventory, and customer behavior, enabling 15% improvement in profitability and decision speed

Senior Data Analyst

Time Magazine
New York, NY
05.2021 - 05.2024

Semantic Layer & KPI Standardization

  • Designed and maintained Looker views and joined models across sales, finance, editorial, and video teams, enabling 25% faster insights delivery
  • Defined standardized metrics and naming conventions adopted company-wide, reducing reporting errors by 20%
  • Integrated cross-team data into reusable models, providing stakeholders with consistent, actionable KPIs

Dashboard Performance Optimization

  • Partnered with data engineers to restructure queries and optimize joins, reducing dashboard load times by 35% and lowering query costs by 30%, resulting in approximately $50K in annual operational savings.
  • Implemented deduplication and deterministic ranking logic using SQL window functions
  • Validated new ELT pipelines in BigQuery before exposing data to Looker dashboards

KPI & Reporting Automation

  • Automated recurring executive reports using validated Looker models with deduplicated data, saving 10 hours per month
  • Delivered insights that informed editorial, social, and ad spend allocation, improving campaign efficiency by 15%

Data Analyst

TIME Magazine
New York, NY
10.2018 - 05.2021

High-Traffic Editorial Campaign Analytics

  • Led analysis of major editorial campaigns and cover launches, identifying engagement and conversion drivers that contributed to an 8–12% lift in reader engagement (MoM)
  • Forecasted 2-year audience traffic using Google Analytics and lightweight Python, improving campaign planning accuracy by 10%
  • Delivered MoM and YoY executive reports, standardizing insights for editors, social, and ad teams
  • Provided actionable recommendations to social media and advertising teams, improving campaign ROI by 15%

Intern, Growth & Web Optimization

Quixotic Systems
New York, NY
01.2017 - 09.2018
  • Redesigned website structure and content using Google Analytics, increasing lead conversion by 15%
  • Proposed CTA and content changes adopted by founder, improving engagement by 12%
  • Supported client acquisition initiatives using data-driven UX improvements

Intern, Audience Analytics

Games For Change
New York, NY
08.2016 - 12.2016
  • Produced reports on website traffic and engagement trends, guiding marketing and outreach initiatives

Education

Master of Science - Management of Technology

New York University
New York (City), NY
05-2018

Bachelor of Science - Electronics And Communications Engineering

Bangalore Institute of Technology
Bangalore, India
08-2014

Skills

  • SQL: Advanced (window functions, ranking, deduplication, incremental logic)
  • Modeling: Fact & dimension design, metric standardization, semantic layer development
  • BI Tools: Looker (views, joins, model definitions)
  • Warehouse: BigQuery (ELT validation, pipeline QA)
  • Analytics: Conversion analysis, KPI definition, dashboard optimization, cohort analysis
  • Training: dbt Foundations Lightweight Python
  • Version Control: GitHub

Timeline

Founder

Amazon Private Label Brand
05.2024 - Current

Senior Data Analyst

Time Magazine
05.2021 - 05.2024

Data Analyst

TIME Magazine
10.2018 - 05.2021

Intern, Growth & Web Optimization

Quixotic Systems
01.2017 - 09.2018

Intern, Audience Analytics

Games For Change
08.2016 - 12.2016

Master of Science - Management of Technology

New York University

Bachelor of Science - Electronics And Communications Engineering

Bangalore Institute of Technology