What are the responsibilities and job description for the Senior Marketing Analytics Manager position at Avispa Technology?
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.
#PP
Salary : $80 - $100
