
kadambari chheda
@kadambarichheda1
Analytics Engineer at Business Insider building trusted dbt and Snowflake data products for media, subscriptions, and advertising.
What I'm looking for
At Business Insider, I build and evolve dbt and Snowflake data products across media, subscriptions, advertising, and revenue. I take projects from discovery and requirements through modeling, orchestration, validation, and the Looker or Omni analytics layer.
I’ve developed standardized reporting models that bring together complex sources, including video platforms and advertising partners, and supported analysts through Looker and Omni training. Earlier, I worked as a Data Analyst at the United Nations India Office and IIT Madras, using survey data and statistical models to evaluate development projects and labor-market outcomes.
Experience
Work history, roles, and key accomplishments
Served as the go-to data and BI partner for analysts across Editorial, Subscriptions, Revenue, Marketing, and Product, with hands-on ownership across the Looker and Omni analytics ecosystem. Led Looker backend infrastructure and LookML development, troubleshooting reporting issues, optimizing query and dashboard performance, and supporting dashboard and workflow migrations.
Built and scaled reusable dbt/Snowflake data products across core media domains, integrating complex sources like GAM, GA4, DoubleVerify, Permutive, SpringServe, Iterable, and GSC. Supported emerging AI-driven analytics use cases by building trusted data models and semantic layers.
Worked as a key analytics resource for Revenue, Advertising, Product, Editorial, and Audience teams, helping stakeholders answer business questions through SQL analysis, metric development, dashboards, reporting, and actionable insights. Built and maintained Looker/LookML Explores and dashboards, investigated data and reporting issues, and translated complex datasets into clear findings for non-te
Business Data Analyst
Digital Trends Media House
Jan 2020 - Apr 2021 (1 year 3 months)
Served as a key bridge between Analytics and Data Engineering during the company's migration from AWS Redshift to Snowflake, translating analyst and business requirements into technical needs. Owned day-to-day Looker administration, LookML development, and BI support, building and maintaining backend models, Explores, dashboards, and reporting solutions for Editorial, SEO, Commerce, Sales, and Ad
Built Power BI dashboards and KPI reporting using SQL and Google Analytics to track business and client performance, surface actionable insights, and deliver customized reporting to stakeholders. Developed a client-vetting model to evaluate prospective and existing clients based on cost, revenue potential, impact, and brand value.
Led data collection strategy and analysis for three UN development projects, using SQL and SPSS to clean, analyze, and visualize field-survey and government data. Developed multinomial logistic regression models to identify key performance indicators (KPIs) and support evaluation of development initiatives.
Data Analyst
Indian Institute of Technology (IIT) Madras
May 2015 - May 2016 (1 year)
Developed R-based data pipelines and statistical models to analyze labor-market outcomes, cleaning and mining large National Sample Survey Organization (NSSO) datasets and applying panel regression techniques. Designed field-survey strategy and translated research findings into policy recommendations on wages and working conditions.
Education
Degrees, certifications, and relevant coursework
Cornell University
Certification, Business Analytics
Completed a Business Analytics Certification from the SC Johnson School of Business at Cornell University in 2019.
University of Mumbai
Ph.D., Economics
2014 - 2018
Pursued a Ph.D. in Economics from the University of Mumbai from 2014 to 2018.
University of Mumbai
Master of Arts, Economics
2011 - 2013
Earned a Master of Arts in Economics from the University of Mumbai from 2011 to 2013.
University of Mumbai
Bachelor of Arts, Economics
2008 - 2011
Earned a Bachelor of Arts in Economics from the University of Mumbai from 2008 to 2011.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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