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Emily Love is a AWS + Amazon Ads at Amazon. She possess expertise in tableau, r, data analysis, statistical data analysis, sas programming and 11 more skills. Colleagues describe her as "I had the pleasure of working with Emily as her direct supervisor at Home Run Media in the Data and Analytics department. Emily very quickly became the subject matter expert in all aspects of reporting; from data quality management, vendor relations, to dashboard creation. She has a unique ability to not only deeply understand the data, but also communicate analytical requirements to other departments and clients. In addition, Emily possesses a growth mindset. She is constantly learning new skills and improving processes. She demonstrates great adaptability to her environment and would be an asset to any team."
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Senior Tech Bd Lead, Aws + AdsAmazon Apr 2022 - PresentSeattle, Wa, Us -
Director, Data & Technology ConsultingOmd Usa Mar 2022 - Apr 2022New York, Ny, Us -
Associate Director, Data & Technology ConsultingOmd Usa Nov 2020 - Mar 2022New York, Ny, Us
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Senior Manager, Data & Technology ConsultingOmd Usa Jan 2019 - Nov 2020New York, Ny, Us
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Supervisor, Marketing SciencesOmd Usa Jul 2017 - Jan 2019New York, Ny, Us
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Specialist, Marketing Analytics & Data ConsultingHavas Media Group Oct 2016 - Jul 2017New York, Ny, UsTrain and supervise entry-level analystsCreate programs in R and SQL to compile large data sets from multiple sources and streamline recurring data queriesDay-to-day point of contact for clients, vendors, and partnersDetermine, outline, and implement methodology for Floodlight Tags and UTM parameters on multiple accountsParticipate in Scope of Work discussions as well as propose projects to gain incremental revenueCompile bi-weekly, monthly, and post-campaign reporting and deliver to key client stakeholders -
Analyst, Marketing Analytics & Data ConsultingHavas Media Group Jan 2016 - Oct 2016New York, Ny, UsResponsible for bi-weekly, monthly, and post-campaign client reportingTransferred reports and dashboards from Excel to TableauUtilized statistical testing to provide insights and recommendations to internal teams and clients regarding offline and online media and creative strategyWorked with vendors and partners to ensure correct implementation and continuation of all aspects of online campaigns
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Lead Data AnalystHome Run Media Jun 2015 - Jan 2016Responsible for creation and maintenance of client dashboards in Tableau.Analyze campaign results and provided recommendations to optimize client's TV campaignsUtilize Tableau and R to compile post campaign analyses and case studies to help client's answer key questions regarding their TV advertisements and ROILead analyst and subject matter expert on competitive analysis and market research tools -
Data Analytics InternHome Run Media Jan 2015 - May 2015Update client dashboards and create new reports and analyses to better inform clients on how their Direct Response and Fixed Buy television spots are performingAnalyze if demographics and market research were able to accurately predict how well an advertisement would perform on specific channelsAs a member of the analytics team, determine new and unique methods to streamline everyday business tasks throughout the office
Emily Love Skills
Emily Love Education Details
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Loyola University ChicagoStatistics
Frequently Asked Questions about Emily Love
What company does Emily Love work for?
Emily Love works for Amazon
What is Emily Love's role at the current company?
Emily Love's current role is AWS + Amazon Ads.
What is Emily Love's email address?
Emily Love's email address is em****@****omd.com
What is Emily Love's direct phone number?
Emily Love's direct phone number is +124876*****
What schools did Emily Love attend?
Emily Love attended Loyola University Chicago.
What are some of Emily Love's interests?
Emily Love has interest in Travel, Figure Skating, Marketing Research, International Marketing.
What skills is Emily Love known for?
Emily Love has skills like Tableau, R, Data Analysis, Statistical Data Analysis, Sas Programming, Microsoft Excel, Powerpoint, Python, Microsoft Office, Social Networking, Social Media, Microsoft Word.
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