Senior Data Analyst

Company Summary

Echo Star is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Our Retail Wireless team, serving our Boost Mobile and Gen Mobile brands, is redefining consumer expectations through new platforms, new business models and new ways of thinking. Equipped with a passion for change and the power to drive it, we continue to push boundaries and be a disruptive force in the market.

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.

This role addresses the complex challenge of understanding and optimizing the customer lifecycle through rigorous data‑driven analysis and insights. The successful candidate tackles key business problems surrounding customer retention, lifetime value, and engagement by building robust analytics frameworks and predictive models. Working at the intersection of business strategy and technical execution, this position translates massive datasets into actionable recommendations that directly influence retention strategies.

By bridging the gap between raw data and business stakeholders, this role drives the long‑term scalability of reporting systems and supports collaborative AI initiatives across the enterprise.

• Lead end-to-end analytical projects, translating complex business problems into actionable customer lifecycle strategies and data‑driven recommendations
• Design, develop, and maintain robust reporting suites and interactive dashboards that provide clear visibility into customer lifetime value, engagement, and churn metrics
• Conduct advanced statistical analysis to identify key business drivers of customer retention and establish measurable key performance indicators (KPIs) that align with department OKRs
• Collaborate with Data Science teams to prepare high‑quality datasets, engineer features, and translate AI model outputs into intuitive business recommendations
• Leverage generative AI and analytics automation tools to streamline reporting workflows, write efficient SQL queries, and accelerate data exploration
• Mentor junior analysts by providing technical guidance, conducting peer code reviews, and documenting analytical processes to ensure long‑term scalability

• Advanced proficiency in querying complex datasets using SQL alongside statistical analysis capabilities in Python or R
• Hands‑on experience performing data engineering, transformation, and dimensional data modeling within Snowflake or Databricks environments
• Extensive expertise in data visualization, specifically in designing high‑impact interactive dashboards using Tableau, Power BI, or similar platforms
• Strong analytical thinking and statistical reasoning to interpret complex datasets and translate them into actionable business insights
• Exceptional communication and data storytelling abilities to convey complex analytical findings clearly to non‑technical business partners and executive leadership
• Practical AI literacy and application skills, demonstrating the ability to leverage AI‑assisted development tools to optimize data pipelines and analytical workflows

• Prior domain experience in customer lifecycle analytics, customer experience (CX), finance, or marketing analytics
• Master's degree in a quantitative field such as Business Analytics, Statistics, Data Science, Computer Science, Economics, or Mathematics

• Minimum Education:
  
  Bachelor’s Degree in a quantitative field (such as Business Analytics, Statistics, Data Science, Computer Science, Economics, Mathematics, or a related field)
• Minimum Experience:
  
  4 years of experience in Data Analytics, Business Analytics, or a related analytical field
• Required Technical
  
  Skills:
  • Writing advanced SQL queries for data extraction and manipulation
  • Build…