UX Research, Data, Analytics
San Francisco Bay Area
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
Princeton University
Research Assistant / Laboratory Manager
2002 to 2004
Staff Quantitative User Experience Researcher
San Francisco, California, United States
Senior Quantitative User Experience Researcher
2016 to 2020
Mountain View, California
Square
Manager / Staff Data Scientist
2014 to 2016
San Francisco, California
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... 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.
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 industry does David Remus work in?
David Remus works in the Internet industry.
Who are David Remus's colleagues?
David Remus's colleagues are Adil Usman, Pavithra Kanakarajan, Arpit Goyal, Tanveer S.Uberoi, Rajat Arya, Sujay Suresh, Chandni Balchandani, Marcus Bischof, John Qin, and Colin Merkel
📖 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
Introversion (I), Sensing (S), Thinking (T), Perceiving (P)
2 year(s), 0 month(s)
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