Sr. Manager, Technical Web Analytics - Spectrum Enterprise

Spectrum - Stamford, CT3.5

Spectrum Enterprise is a national provider of scalable, fiber-based networking and managed services solutions. Solutions include Internet access, Ethernet and Managed Network Services, Voice solutions, TV solutions and Managed Application, Cloud Infrastructure and Managed Hosting Services. We work closely with clients to achieve greater business success by providing these right-fit solutions designed to meet their evolving needs. For more information, visit

The Highlights

The Web Analytics Technical Manager of the Web and Marketing Technology team will serve as the domain expert on the Adobe Analytics, DTM/Launch and Google Analytics platforms for the team and enterprise marketing business users. This experienced professional will be located in Stamford, Connecticut.

You will be the point person for implementing all technical and functional capabilities of Adobe Analytics, DTM/Launch and Google Analytics. In this role, you will define end-to-end architecture and implement analytics platforms and multiple individual analytics improvement projects.

You will provide analytics/data technology and functional thought leadership, influence architecture and business processes, lead hands-on tagging and collaborate with teams of developers and analysts.

What you will do
Create custom tracking solutions based on a measurement plan, document solution design and mapping analytics variables to defined requirements
Using defined key performance indicators (KPIs), implement solutions enabling stable architecture for capturing robust data
Create data layer specifications and TMS rules for best practice implementation of website and media analytics tracking
Implement testing and optimization tools with integration across marketing and data platforms to ensure sound testing, targeting and personalization strategies
Manage and administer analytics and data management platforms ensuring taxonomies, tags and integrations are leveraged to support data collections, analytics, insights and targeting
Employ, promote and enforce tagging, segmentation and targeting best practices
Help design and implement tagging and data layers for complex analytics scenarios and for targeting and personalization scenarios
Manage native and API integrations of analytics and marketing tag implementations
Apply quantitative analysis methods to combine and interpret information from multiple data sources by partnering with the reporting team to uncover relevant insights, trends and optimization criteria
Set up and manage data feeds into Adobe Analytics
Develop custom reports via Adobe Analytics and Report Builder

Required keys for success
Proven experience as the technical lead in implementation and support of Adobe Analytics, Data Workbench, Google Analytics, Dynamic Tag Manager (DTM), Target, Audience Manager and other analytics and data platforms
Hands-on development experience and expertise in Adobe Analytics
Experience with key features of Adobe Analytics including visitor ID service, eVars, s.props, success events, merchandising variables, VISTA rules, SAINT Classifications, raw data feeds, pathing/fallout, segmentations and marketing channels
Hands-on administration experience with Adobe Analytics and Google Analytics
Experience implementing analytics on native mobile apps for iOS and Android
Experience planning and executing A/B and multivariate test strategies, including experience with Test and Target, Optimizely or other test tools
Demonstrated proficiency managing analytics tags with a tag manager such as Dynamic Tag Manager (DTM)/Adobe Activation, Tealium or Ensighten
Expertise in analytics and tagging quality assurance process
Strong development background with JavaScript and JavaScript libraries
Superb understanding of all aspects of Adobe Analytics tool (pathing analysis, cohort analysis, segmentations, sequential segmentation and analysis, e-commerce product variables, merchandising variables, SAINT Classifications, rules, attributions, virtual report suites) to make sense of online behavioral data and generate insights
Solid understanding of digital marketing and advertising concepts and terms
Exposure to web diagnostic tools like Adobe Digital Pulse Debugger, Developer tool, Omnibug, Charles Proxy or Firebug
In-depth understanding of common web/e-commerce metrics and definitions
Knowledge of web and mobile development frameworks and languages
Proficiency with Microsoft Excel, PowerPoint and some data mining/analytics skills (Python R, SQL, SPSS, SAS)
Comfort explaining how web analytics data is collected, processed and reported and capability to document expertise and train others
Strong analytical, organizational and problem-solving skills
Aptitude to flourish handling multiple tasks, workload, changing priorities and tight deadlines
Ability to assess a problem and determine an effective course of action with sustainable solutions

How you will stand out from the crowd
Ten or more years of relevant technology experience in digital marketing, consulting and/or media
Five or more years of experience in highly-skilled front-end engineering using Object-Oriented JavaScript, JavaScript libraries and micro frameworks such as jQuery, Angular, HTML5 and CSS
Five or more years of web analytics with clickstream experience implementing web analytics using Adobe Analytics, Webtrends, Google Analytics or any other web analytic tool
Three or more years of experience working with SQL databases and BusinessObjects reporting tools
Experience authoring, editing and presenting technical/business requirements and marketing briefs
Experience working with and managing distributed teams, including off-shore members and digital agencies
Multiple Adobe Marketing Cloud solutions, Marketo/Eloqua and SalesForce certification(s)
Active participation in analytics and other Adobe and Google communities
Your education
Bachelor's degree in marketing, business, statistics, data analysis, digital marketing, computer science, management information system or related field (required)
Adobe Analytics and Google Analytics certification (required)
Master's degree in marketing, business, statistics, data analysis, digital marketing, computer science, management information system or related field (preferred)
What you can expect
Office environment
Approximately 10 percent travel