Senior Manager Web Analytics
| Company | |
|---|---|
| Location | Seattle, WA, USA, Washington, DC, USA, San Francisco, CA, USA, Chicago, IL, USA, Omaha, NE, USA, New York, NY, USA, Sunnyvale, CA, USA, Mountain View, CA, USA, Atlanta, GA, USA |
| Salary | $121000 – $188000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- BA/BS degree in mathematics, engineering, or statistics or equivalent work experience
- 3+ years of experience with Adobe Analytics and Web analytics principles
- 5+ years of experience analyzing data sets using SQL and/or Hive
- 5+ years of experience in marketing analytics, business analytics, or a similar role, preferably within a technology or digital marketing environment
Responsibilities
- Build strategic-minded reports and dashboards in Adobe Analytics to identify and analyze visitor (member and customer) behavior on LinkedIn’s web properties.
- Create and manage scalable reporting and dashboards that monitor marketing key performance indicators (KPIs), highlight areas of improvement, and influence web strategy.
- Define and develop new web-specific KPIs and page tagging structure to assess the health of LinkedIn’s website, in partnership with the Web Marketing team.
- Lead projects related to Digital Web Marketing, driving insights and analysis of web performance, and effectively communicate findings at all levels (within the team, to cross-functional partners, to leadership/executives)
- Build strong relationships with global marketers and cross-functional partners to provide strategic advice on LinkedIn’s marketing performance and operational efficiency.
- Solve challenging business problems creatively, efficiently, and independently, especially when faced with time and operational constraints or ambiguity.
- Identify and partner with our Data Science and Marketing Tech teams on data automation and pipeline needs for advanced web measurement.
- Work with and manipulate large, complex data sets for analysis and report creation.
- Connect traffic to business goals: Partner with Demand Gen Operations and Data Science to define models that establish a relationship between web traffic and business conversions (self-serve and field) to support the development of targets.
- Drive insights around customer behavior, leveraging LinkedIn’s unique 1st party attribute data and map out web customer journeys to surface dimensional trends and insights.
Preferred Qualifications
- Web Data Analysis and Visualization
- Tableau Dashboarding
- Strategic Thinking & Problem Solving
- Cross-functional collaboration
- Stakeholder Management
- Project Management