Senior Analytics Manager (16262-2)

JND•Englewood Cliffs, NJ

4h•$45 - $48

About The Position

Senior Analytics Manager (16262-2) Job Title: 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) Our team of highly experienced developers offer a wide range of mobile application and software development positions. We also have opportunities in business operations and administrations, logistics, UX/UI design, and many more! Our vision is ‘We Want to See You Grow’ to become the industry leader for both employee and company. For more information about JND, please visit www.jndsolutions.com #Samsung #Englewood Cliffs #NJ #New Jersey #Sr #Senior #Analytics #Marketing #Manager

Requirements

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 (paid search/ social, display, affiliate marketing and ecommerce/CPG).
Direct experience standing up MMM/MTA measurement and the understanding of the components and metrics of MMM/MTA—must demonstrate this knowledge and experience.
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.
A Bachelor's degree or higher in Marketing or other related fields
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, in order to make better informed decisions on a timely basis.
Lead the analysis and development of executive-friendly marketing/media reports, clearly and concisely communicating program and channel performance/progress against goals (e.g. ongoing campaign highlights, post-mortem reports, deeper ad-hoc analysis—market-share/paid media impact reports). This across HE LOB (full funnel digital meda) and Performance Marketing (PLA and text search) as well as coordinating a monthly tracker for retail media inputs across accounts (Walmart, Best Buy, Costco, Amazon, Sam’s/BJs, regionals)
Provide compelling, action-oriented insights and takeaways across a full funnel paid media strategy (awareness, consideration, lower funnel conversion) to lead to better customer acquisition, brand health, S.com conversion, S.com Traffic, and offline contribution of our media channels).
Lead the development of automated and systemized methods to more efficiently incorporate data and learnings into reports (i.e. exporting data and charts/graphs directly into management decks)
Drive sophisticated analyses and insights to visualize, interpret and “story-tell” data and learnings (e.g. SOV, Market Share/Spend, Paid Media Conversion, MMM/MTA)
Develop and maintain a robust measurement framework to track the effectiveness of media campaigns and investment, including ROI and S.com Traffic/revenue metrics.
Create reporting framework that effectively captures program performance and produces actionable run-of-business channel optimizations
Partner closely with IM Paid Media and Paid Media AOR, to identify ongoing targets for each dimension of the business and integrate product investments and the resulting impact on the business.
Work closely with the PCG Analytics’ Team and Big data team (as needed) to align on the proper tagging strategies and tools to track key performance indicators (KPIs).
Lead MMM/MTA requirements, report-outs and optimizations. Apply findings to SEA business and future planning efforts as well as champion findings internally across teams and leadership.