Senior Digital Marketing Analytics Manager

LinkedIn   •  

San Francisco, CA

Industry: Consumer Technology

  •  

5 - 7 years

Posted 20 days ago

The Performance Operations team provides insights, analysis, and reporting to improve and scale marketing performance at LinkedIn. We use data and analysis to inform campaign strategy and operations for the LinkedIn marketing team across all channels including email, digital, and web marketing, and across multiple types of marketing, including acquisition, customer, and brand/consumer marketing. As a Senior Manager of Digital Marketing Analytics on our team, you will partner with marketing leaders in LinkedIn Talent Solutions, our largest business unit, to provide robust performance management and drive actionable insights through analytics.


Responsibilities

  • Lead marketing insights projects by analyzing large, complex data sets to inform channel strategy and performance and effectively communicate findings at all levels (within the team, to cross-functional partners, to leadership/executives)
  • Create and manage scalable reporting and dashboards that monitor marketing key performance indicators (KPIs), highlight areas of improvement, and influence strategy
  • Build strong relationships with marketing leaders to provide strategic advice on channel expansion, optimization, and business growth
  • Lead junior team members by coaching them to both provide leverage on analytical projects and grow their technical and communication skills
  • Solve challenging business problems creatively, efficiently, and independently, especially when faced with time and operational constraints or ambiguity
  • Deliver on multiple initiatives in the same time frame with minimal supervision

Basic Qualifications

  • BA/BS degree
  • 6+ years of experience in marketing analytics, business analytics, operations analytics, management consulting, sales operations or finance organizations

Preferred Qualifications

  • Experience in leading impactful data-related or analytics projects and visually presenting and communicating findings with minimal supervision
  • Experience in communicating and collaborating with cross-functional teams (e.g, marketing, sales, finance, business analytics, and engineering) at various levels (e.g, peers to senior leadership)
  • Experience and comfort with using and analyzing large data sets
  • Advanced knowledge of Excel
  • Experience with Pig, Hive, or Hadoop
  • Expertise in a data visualization tool, particularly Tableau
  • Intermediate knowledge of PowerPoint, including the ability to use PowerPoint to communicate analytical insights effectively to stakeholders
  • Experience in statistical analysis or programming
  • Intermediate/Advanced knowledge of SQL