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Daniel Marrero Email & Phone Number

Director, Business Analytics Engineering - TRWW at The Estée Lauder Companies Inc.
Location: New York City Metropolitan Area, United States, United States 8 work roles
1 work email found @elcompanies.com 2 phones found area 970 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email · 2 phones

Work email d****@elcompanies.com
Direct phone (970) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Role
Director, Business Analytics Engineering - TRWW
Location
New York City Metropolitan Area, United States, United States

Who is Daniel Marrero? Overview

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Quick answer

Daniel Marrero is listed as Director, Business Analytics Engineering - TRWW at The Estée Lauder Companies Inc., based in New York City Metropolitan Area, United States, United States. AeroLeads shows a work email signal at elcompanies.com, phone signal with area code 970, and a matched LinkedIn profile for Daniel Marrero.

Daniel Marrero previously worked as Manager, Statistical Modeling - Demand Planning at The Estée Lauder Companies Inc. and Senior Demand Planner - eCommerce at Luxottica.

Company email context

Email format at The Estée Lauder Companies Inc.

This section adds company-level context without repeating Daniel Marrero's masked contact details.

*@elcompanies.com
68% confidence

AeroLeads found 1 current-domain work email signal for Daniel Marrero. Compare company email patterns before reaching out.

Profile bio

About Daniel Marrero

Daniel Marrero is a Director, Business Analytics Engineering - TRWW at The Estée Lauder Companies Inc.. He possess expertise in predictive analytics, statistical modeling, time series analysis, demand planning, inventory management and 15 more skills.

Listed skills include Predictive Analytics, Statistical Modeling, Time Series Analysis, Demand Planning, and 16 others.

Current workplace

Daniel Marrero's current company

Company context helps verify the profile and gives searchers a useful next step.

The Estée Lauder Companies Inc.
The Estée Lauder Companies Inc.
Director, Business Analytics Engineering - TRWW
AeroLeads page
8 roles

Daniel Marrero work experience

A career timeline built from the work history available for this profile.

Senior Demand Planner - Ecommerce

Milan, Italy, IT

Jul 2017 - Dec 2019

Manager, Demand Planning - Business Process

New York, New York, US

May 2013 - Jul 2017

Demand Planner

Hicksville, NY, US

Feb 2012 - May 2013

Assistant Planner, Intimates & Sleepwear

New York, NY, US

Oct 2011 - Feb 2012

Assistant Planner, Basic Housewares

Midvale, Utah, US

Jul 2011 - Oct 2011

Analyst, Demand Planning

New York, New York, US

Nov 2010 - Jul 2011
FAQ

Frequently asked questions about Daniel Marrero

Quick answers generated from the profile data available on this page.

What company does Daniel Marrero work for?

Daniel Marrero works for The Estée Lauder Companies Inc..

What is Daniel Marrero's role at The Estée Lauder Companies Inc.?

Daniel Marrero is listed as Director, Business Analytics Engineering - TRWW at The Estée Lauder Companies Inc..

What is Daniel Marrero's email address?

AeroLeads has found 1 work email signal at @elcompanies.com for Daniel Marrero at The Estée Lauder Companies Inc..

What is Daniel Marrero's phone number?

AeroLeads has found 2 phone signal(s) with area code 970 for Daniel Marrero at The Estée Lauder Companies Inc..

Where is Daniel Marrero based?

Daniel Marrero is based in New York City Metropolitan Area, United States, United States while working with The Estée Lauder Companies Inc..

What companies has Daniel Marrero worked for?

Daniel Marrero has worked for The Estée Lauder Companies Inc., Luxottica, Hudson'S Bay Company, Sleepy'S, and Macy'S.

How can I contact Daniel Marrero?

You can use AeroLeads to view verified contact signals for Daniel Marrero at The Estée Lauder Companies Inc., including work email, phone, and LinkedIn data when available.

What skills is Daniel Marrero known for?

Daniel Marrero is listed with skills including Predictive Analytics, Statistical Modeling, Time Series Analysis, Demand Planning, Inventory Management, R, Sql, and R Shiny.

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