Senior Statistical Analyst

4 days ago


Bethpage, New York, United States Altice USA Full time

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 Job

Altice 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.
Requirements

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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