Data Analyst
hace 1 mes
About the Role
The Analyst, Subscriber Forecasting will play a crucial role in our streaming division by developing and maintaining sophisticated forecast models to drive strategic decision-making. This position requires a highly analytical individual with a strong background in modeling for complex subscription businesses and a passion for media and entertainment.
Key Responsibilities
- Develop and maintain projections for key performance indicators (KPIs) such as subscriber trends, revenue, and marketing efficiency metrics.
- Create detailed models to segment subscriber trends across critical variables like territory, provider, plan length, product tier, and special offers.
- Incorporate retention curves and revenue profile specific to each sub-segment to generate accurate projections of subscribers, revenue, ARPU, and churn.
- Collaborate with data science, finance, and marketing teams to validate inputs and requirements.
- Analyze historical data and market trends to improve the accuracy of forecast models.
- Conduct scenario analysis and sensitivity testing to evaluate the impact of different business strategies and support decision-making.
- Present findings and recommendations to senior leadership in a clear and concise manner.
Requirements
- Bachelor's degree in finance, statistics, economics, or a related field.
- Minimum of 3 years of experience in a role focused on data analysis and forecasting with direct responsibility for building complex models.
- Strong analytical skills with the ability to interpret complex data and translate conclusions into actionable recommendations.
- Experience with data visualization tools such as Tableau or Looker.
- Understanding of data science concepts and Python a plus.
- Excellent verbal and written communication skills, with the ability to present complex information clearly and persuasively.
- Knowledge of the media and entertainment industry.
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