Senior Statistical Analyst
4 days ago
Data-Driven Decision Making: A Key to Success
At Altice USA, we empower our team with data-driven insights to drive business growth and improvement. Our innovative approach, powered by Optimum, enables us to provide cutting-edge services to small to medium businesses, national, political, media & entertainment, and agency clients across the United States.
We have a talented team consisting of Sales Executives, Software Engineers, Data Analysts, Ad Operations, Marketing Professionals, Product Managers, and more. If you are tech-savvy, data-driven, client-focused, and solutions-oriented, this brand is for you.
About the JobAltice USA is seeking a highly skilled Senior Statistical Analyst to analyze customer churn dynamics using statistical methods and predictive modeling.
Key Responsibilities- Identify data patterns and root causes, and facilitate targeted intervention strategies.
- Generate actionable reports and analytics for internal and external stakeholders.
- Identify and prioritize opportunities for reducing Average Revenue Per User (ARPU) erosion.
- Develop and implement data-driven strategies to enhance customer retention and improve the overall save rate through data analysis and optimization techniques.
- Craft and deliver data-driven presentations that communicate findings, growth opportunities, and strategic recommendations to business stakeholders.
- Build and guide a high-performing team of data analysts towards best-in-class analytical practices and methodologies.
The ideal candidate will possess a Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, and 4 years of experience with data analytics, statistical analysis, predictive modeling, and data visualization techniques to derive business insights from complex datasets.
The selected candidate will have a minimum of:
- 4 years of experience with SQL for complex data querying, manipulation, and analysis;
- 4 years of experience with relational databases such as PostgreSQL, GCP, and Oracle;
- 4 years of experience with data storytelling;
- 2 years of experience with Python programming for data analysis;
- 2 years of experience with analytical and business intelligence software including Tableau to create dashboards and reports;
- 2 years of experience in managing data analytics projects from conception to delivery.
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