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REMOTE - Web Analytics Specialist

In United States

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REMOTE - Web Analytics Specialist   

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JOB TITLE:

REMOTE - Web Analytics Specialist

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

Madison United States

JOB DESCRIPTION:

Job Title: Web Analytics Specialist

Location: REMOTE

Contract to Hire

Job Posting: Role Description and Expectations:

This individual is responsible for leading web and app analytics implementations across the Realogy enterprise. The role will work together with Analysts, Engineering, QA and Product Teams to ensure web analytics optimization strategy is effectively employed. They will act as the analytics expert behind Realogys web analytics platform, playing a key role in performance measurement aimed at driving data driven decisions. This role reports into the head of web analytics for Realogy.

This person is expected to be a champion for the analytics and tracking discipline within the organization - they will be responsible for: 1. promoting a tagging and tracking mentality throughout the organization 2. working cross-functionally to incorporate best practices into process and practice across products

The ideal candidate will have experience with Web Analytics packages, Site Tagging and Tag Management, QA, requirements gathering, database management, and data analytics, as well as a strong business sense and a willingness to rapidly ramp up. The role is built for a self-starter & creative, quantitative thinker, someone comfortable pushing for discipline and structured thinking amidst disparate data sets, processes, and siloed product initiatives.

Must Haves:

  • Bachelors degree in Data Analytics, Technology, Business, Marketing or similar
  • Experience in web analytics using Google Analytics suite
  • Proficiency with web technologies, including HTML, CSS, JavaScript with knowledge of browser cookies, dependencies, and cross domain tracking
  • Familiarity with databases, data maintenance, and query languages - R, Python, SQL

 

Position Details

POSTED:

Oct 07, 2022

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S16564608534415796

LOCATION:

United States

CITY:

Madison

Job Origin:

OORWIN_ORGANIC_FEED

A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

REMOTE - Web Analytics Specialist    Apply

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<p>Job Title: Web Analytics Specialist</p> <p>Location: REMOTE</p> <p>Contract to Hire</p> <p>Job Posting: Role Description and Expectations:</p> <p>This individual is responsible for leading web and app analytics implementations across the Realogy enterprise. The role will work together with Analysts, Engineering, QA and Product Teams to ensure web analytics optimization strategy is effectively employed. They will act as the analytics expert behind Realogys web analytics platform, playing a key role in performance measurement aimed at driving data driven decisions. This role reports into the head of web analytics for Realogy.</p> <p>This person is expected to be a champion for the analytics and tracking discipline within the organization - they will be responsible for: 1. promoting a tagging and tracking mentality throughout the organization 2. working cross-functionally to incorporate best practices into process and practice across products</p> <p>The ideal candidate will have experience with Web Analytics packages, Site Tagging and Tag Management, QA, requirements gathering, database management, and data analytics, as well as a strong business sense and a willingness to rapidly ramp up. The role is built for a self-starter & creative, quantitative thinker, someone comfortable pushing for discipline and structured thinking amidst disparate data sets, processes, and siloed product initiatives.</p> <p>Must Haves:</p> <ul> <li>Bachelors degree in Data Analytics, Technology, Business, Marketing or similar</li> <li>Experience in web analytics using Google Analytics suite</li> <li>Proficiency with web technologies, including HTML, CSS, JavaScript with knowledge of browser cookies, dependencies, and cross domain tracking</li> <li>Familiarity with databases, data maintenance, and query languages - R, Python, SQL</li> </ul> <p> </p>


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