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David Remus

Manager, Analytics & Business Intelligence

UX Research, Data, Analytics

San Francisco Bay Area

Section title

David Remus's Email Addresses & Phone Numbers

David Remus's Work Experience

The Walt Disney Company

Manager, Analytics & Business Intelligence

2012 to 2014

Palo Alto, California

The Walt Disney Company

Senior Analyst, Customer Insight

2011 to 2012

Palo Alto, California

Playdom

Customer Insight Analyst

2011 to 2011

Mountain View, California

David Remus's Education

Stanford University

Doctor of Philosophy (PhD), Psychology (Neuroscience Area)

University of California, Los Angeles

BA, Psychology

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About David Remus's Current Company

The Walt Disney Company

Analytics and business intelligence research and development for massively multiplayer online games (MMOs) and other online content within Disney's "Interactive Worlds" division. Coordination of remote analysis teams and studios to collect, analyze, and distill immense data into product recommendations and insights. Providing guidance and support to marketing, production, sales, and senior executive teams. Building analytics tools that...

Frequently Asked Questions about David Remus

What company does David Remus work for?

David Remus works for The Walt Disney Company


What is David Remus's role at The Walt Disney Company?

David Remus is Manager, Analytics & Business Intelligence


What is David Remus's personal email address?

David Remus's personal email address is d****[email protected]


What is David Remus's business email address?

David Remus's business email addresses are not available


What is David Remus's Phone Number?

David Remus's phone (**) *** *** 281


What industry does David Remus work in?

David Remus works in the Internet industry.


About David Remus

📖 Summary

Manager, Analytics & Business Intelligence @ The Walt Disney Company Analytics and business intelligence research and development for massively multiplayer online games (MMOs) and other online content within Disney's "Interactive Worlds" division. Coordination of remote analysis teams and studios to collect, analyze, and distill immense data into product recommendations and insights. Providing guidance and support to marketing, production, sales, and senior executive teams. Building analytics tools that can be deployed company wide. From 2012 to 2014 (2 years) Palo Alto, CaliforniaSenior Analyst, Customer Insight @ The Walt Disney Company Analytics and business intelligence research for social games, massively multiplayer online games (MMO), and other interactive online content within the Disney Interactive Media Group. Primary focus on central reporting and support of Playdom and Disney Online Studios products. From 2011 to 2012 (1 year) Palo Alto, CaliforniaCustomer Insight Analyst @ Playdom Business intelligence support for several social game studios. Primary analyst for 10+ active products generating the majority of company revenue. Responsible for research programs involving over 4,000,000 daily users and the #5 game (by volume) on Facebook. Developed central reporting and self-serve analysis tools for company-wide distribution. Performed in-depth analyses of user behavior, advertising effectiveness, and virtual-good pricing strategies. From 2011 to 2011 (less than a year) Mountain View, CaliforniaResearch Assistant / Laboratory Manager @ Princeton University fMRI of visual awareness and "neural decoding". From 2002 to 2004 (2 years) Staff Quantitative User Experience Researcher @ Google San Francisco, California, United StatesSenior Quantitative User Experience Researcher @ Google Quantitative research for Google flagship products.2018-present: Google Cloud Platform (GCP)2016-2018: Advertisements on google.com (Search Ads / Ads Quality)I work closely with Designers, Product Managers, Software Engineers, and other researchers to better understand our users.My current focus is on the needs and satisfaction of GCP users (developers, tech leaders, engineers, hackers, etc.) trying to use cloud services.My work is a mix of hypothesis testing and exploratory analysis of logged data, designed to surface useful and testable hypotheses and suggestions for product improvements. Those hypotheses are subsequently evaluated in live experiments, large-scale targeted surveys, or deeper analysis.Primary tools: Python, SQL From 2016 to 2020 (4 years) Mountain View, CaliforniaManager / Staff Data Scientist @ Square Managerial:Founded and managed the Product Analytics discipline at Square.• Built, recruited, and trained an industry-leading team of analysts and data scientists• Set vision and implementation for data use across the company• Implemented processes, prioritization, and tooling to improve self-service analytics company-wide• Championed data documentation across analytics disciplinesIndividual contributions:• Designed large scale experiments to evaluate viability of new product offerings• Direct analytics support of Developers products (APIs, SDKs)• Direct analytics support of global app launch (previously US, CA, JP only)• Developed and maintained company-wide executive KPI reporting• Defined and implemented cross-product metrics standardization• Designed and maintained ~100 automated ETL processes (Apache Hive, MySQL, Vertica, Ruby)• Designed and created internal data monitoring and visualizations for ~20 products From 2014 to 2016 (2 years) San Francisco, California


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In a nutshell

David Remus's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

2 year(s), 0 month(s)

David Remus's Willingness to Change Jobs

Unlikely

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