Senior Analytics Manager
Job Type : Regular Fulltime, Hourly
A Bachelor's degree or higher in Marketing or other related fields
A minimum of 8+ years of media data, analytics and insights experience (paid search / social, display, affiliate marketing, and ecommerce / CPG).
Location : 700 Sylvan Ave, Englewood Cliffs, NJ
Benefits : Medical Insurance (Health, Dental & Vision), Paid Time Off, 401K, H1B / Green Card Sponsorship for qualified employee
Hands-on experience at global industry leader Samsung
Opportunities for career advancement
Compensation : $45-48 / hr
Top Skills :
- Innately familiar with MMM & MTA
- Developing insights-led executive / leadership reports
- Knowing Paid Media (full funnel, retail, performance marketing)
Responsibilities :
Define and manage paid media analytics, insights and reporting that support our marketing objectives and strategies.Lead the analysis and development of executive-friendly marketing / media reports.Provide compelling, action-oriented insights and takeaways across a full funnel paid media strategy.Lead the development of automated and systemized methods to more efficiently incorporate data and learnings into reports.Drive sophisticated analyses and insights to visualize, interpret and "story-tell" data and learnings.Develop and maintain a robust measurement framework to track the effectiveness of media campaigns and investment.Partner closely with IM Paid Media and Paid Media AOR.Work closely with the PCG Analytics' Team and Big data team.Lead MMM / MTA requirements, report-outs and optimizations.Qualifications :
Heavily knowledgeable with direct, working-level experience in developing reporting, measurement and insights across full-funnel media campaigns and programs.Should have a minimum of 8+ years of media data, analytics and insights experience.Direct experience standing up MMM / MTA measurement and the understanding of the components and metrics of MMM / MTA.A positive "all-hands-on-deck" attitude and willingness to get the job done.Passion for problem solving, critical thinking and digging into data and analytics to identify solutions and areas of optimization.