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Senior Marketing Analytics Manager

Senior Marketing Analytics Manager

Avispa TechnologyNew York, NY, US
9 days ago
Job type
  • Full-time
Job description

Job Description

Job Description

Senior Marketing Analytics Manager 1654-1

  • Hourly pay : $80-$100 / hr
  • Worksite : Leading music streaming company (New York City, NYC 10020 or Washington, DC 20002 - Open to Remote Candidates located in the United States, Must work Eastern office hours)
  • W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
  • 40 hours / week, 6 Month Assignment, Possible extension

A leading music streaming company seeks a Senior Marketing Analytics Manager . The successful candidate will lead advanced analytics and machine learning initiatives to optimize marketing performance, inform business strategy, and deliver data-driven insights through predictive modeling, A / B testing, and visualization.

Senior Marketing Analytics Manager Responsibilities :

  • Build advanced machine learning models to inform marketing tactics (examples : adaptive clustering, reinforcement learning, regression modeling, price elasticity modeling etc.)
  • Execute sophisticated quantitative analyses and descriptive modeling to answer key business questions to shape business strategy.
  • Use enhanced python based graphical visualizations to deliver key insights to leadership.
  • Research and implement novel modeling techniques to solve complex business problems.
  • Develop analytics databases & lead development and maintenance of automated dashboards for AB experiment results.
  • Develop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering or to perform analysis of business questions.
  • Measure the incrementality of paid media campaigns using matched market testing.

    • Senior Marketing Analytics Manager Qualifications :

  • 7+ years of experience in the related field.
  • Bachelor’s or Master's degree in data science, computer science, statistics, engineering, or a related quantitative field.
  • Strong prior experience in data science, business & statistical analytics.
  • Strong background in SQL & Python, R is a plus.
  • Experience in machine learning algorithms & libraries. Examples : CausalML / EconML, TensorFlow, PyTorch, Keras, sk-learn, seaborn, LSTM, RNN.
  • Experience in visualization tools. Examples : Databrick AI / BI, Rshiny, Dash, Tableau.
  • Familiarity with the Databricks platform is a plus.
  • Willingness to take initiative and to follow through on projects.
  • Excellent time management skills with the ability to prioritize and multitask, and work under shifting deadlines in a fast-paced environment.
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    Senior Marketing Manager • New York, NY, US