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Analytics Manager - Paid Media

Business Analysis | Hybrid in Newark, NJ | Full Time, Contract, and Temporary | From $60.00 to $70.00 per hour

Job Description

Analytics Manager - Paid Media 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!

Analytics Manager - Paid Media 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 Seattle, WA - Hybrid)
  • W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
  • 40 hours/week, 8 Month Assignment

Analytics Manager - Paid Media 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.

Analytics Manager - Paid Media Qualifications:

  • 3-5 years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Data Science, or Consulting in a digital environment or a related field.
  • MS degree (Sciences, Operations Research (OR), Economics, Mathematics, Engineering, or similar field) or equivalent experience in a data-driven/analytical role.
  • Quantitative degree (Sciences, Operations Research (OR), Economics, Mathematics, Engineering, or similar field) or equivalent experience in a data-driven/analytical role.
  • Hands-on experience designing A/B tests
  • Hands-on experience with Tableau dashboards and a good understanding of this tool.
  • Background in content/media, marketing tech, subscription business, and/or internet industries preferred - an understanding of e-commerce analytics, marketing analytics, experimentation, membership/loyalty analytics and revenue management techniques a plus.
  • Proficiency in Python, R or other analytics/data science tools is preferred.
  • Excellent written and oral communication/presentation skills preferred.
  • Knowledge of data/analytical tools – Strong experience with SQL; experience using data visualization tools like Tableau or Microstrategy; knowledge of statistics and modeling; experience with Python, R, Jupyter, other analytics/data science tools.
  • Self-motivated with the capacity to work under tight deadlines.
  • Passion for the accuracy, relevance, quality, and impact of deliverable. High attention to detail.
  • Good written and oral communication/presentation skills.
  • Ability to reconcile information from and for multiple stakeholders, and to manage communication across different audiences (technical vs. business, junior vs. senior).
  • Intellectual curiosity for what drives the business.
  • Aptitude and drive to learn new tools quickly required.