Data Analyst & Analytics Consultant

Marketing, Revenue & Growth Analytics

New York, New York

A man with dark hair and a mustache wearing a white dress shirt, standing indoors next to large windows overlooking a cityscape with buildings and an elevated highway.

Victor Cornejo —  Data Analyst & Analytics Consultant, New York City

I’m a New York–based data analyst and analytics consultant focused on helping businesses understand what’s driving performance and where to act next.

My background started in law, but after moving to New York I joined a SaaS company working directly with restaurant and retail operators. That experience got me interested in the numbers behind the business — revenue, customer behavior, performance, and the decisions owners were making every day.

Since then, I’ve built my work around analytics, marketing, pricing, and business performance. My projects have included hospitality and POS data, customer behavior, marketing performance, pricing analysis, demand forecasting, media mix analysis, and more recently, real-estate market and pricing work.

I use Python, SQL, Tableau, Excel, and other tools depending on the problem, but I’m much more interested in the business question than the tool itself. I like taking messy information, figuring out what matters, and turning it into something useful for the person making the decision.

My client-facing background is a big part of how I work. I’m comfortable explaining technical or analytical work to people who don’t live in the data every day, whether that’s a business owner, a client, or a leadership team.

I’m fluent in English and Spanish and based in New York City.

Selected Analytics Work

Selected projects across marketing, customer behavior, pricing, growth, and business performance

Tribeca Market Activity — Comparing monthly 3BR contract volume to contextualize seasonality and 2026 demand

Key Drivers of Churn — Translating Model Coefficients into Actionable Insights

Model Performance — Comparing models to identify the strongest classifier for targeted churn-reduction

Channel impact on revenue — identifying where marketing spend drives the most value

Experiment design — testing causal impact before scaling budget decisions

Marketing performance by spend tier — identifying where investment begins to drive incremental revenue

Recommended budget strategy — focusing investment where marketing drives measurable impact