Marketing Analytics Manager

5 days ago

Newark, United States Avispa Technology Full time

Marketing Analytics Manager 1308757

A leading podcast and audiobook company is seeking a Manager - Analytics. The successful candidate will provide tactical, operational, economic, and financial analysis to frame and drive decisions, develop KPIs and scorecards to track initiative progress/performance and scientific models to drive a focus on results and execution. The ideal candidate has 3+ years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Data Science, or Consulting in a digital environment or a related field. The company offers a great work environment

Marketing Analytics Manager Pay and Benefits:

  • Hourly pay: $55-$75/hr (Pay varies based on candidate's location and experience)
  • Worksite: Leading podcast and audiobook company (Newark, NJ 07102 or Los Angeles, CA 90232 - Hybrid)
  • W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
  • 40 hours/week, 8 Month Assignment

Marketing Analytics Manager Responsibilities:

  • Illustrate key business trends and drivers through effective problem framing, data analysis, interpretation and visualization.
  • Create well-designed management scorecards and dashboards that ensure accurate and robust reporting across key business/project/initiative metrics.
  • Deliver impactful analysis based on robust economic, financial, and statistical analysis.
  • Estimate the impact of different scenarios using robust analytical/financial models.
  • Develop and validate methods to optimize the Who, When, Where and How of all our interactions with customers, and demonstrate a good command of data science techniques that can be drawn upon in that context.
  • Develop an in-depth knowledge of all relevant data sources, business intelligence technologies and analytical tools – know to leverage all of our assets to answer senior executive questions fast.
  • Develop compelling presentations and documents - and communicate them with impact and intuition.
  • Proactively communicate factors affecting deliverables to senior management.
  • Explain assumptions and quantitative methodologies to colleagues in their and other teams.
  • Conduct geotesting, A/B test to match campaigns.
  • Run different scenarios for budget allocations.

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