Responsibilities

• Own and execute analytical projects, translating business problems into actionable customer lifecycle strategies and data-driven recommendations
• Conduct deep-dive statistical analysis—specifically churn driver analysis and program impact analysis—to evaluate how various campaigns and changes affect customer retention behaviors
• Build and deploy scalable, algorithmic pipelines that translate customer milestones, engagement metrics, and LTV into automated retention interventions, moving beyond static visibility to drive direct business impact
• Architect and deploy automated data pipelines and scalable feature engineering frameworks directly within Databricks and Snowflake, partnering closely with Data Science and Engineering to operationalize AI models
• Collaborate with Data Scientist to architect, train, and deploy predictive machine learning models (such as proprietary churn and LTV algorithms) in production to drive automated, proactive business solutions
• Document analytical processes and code to ensure long-term scalability and share knowledge with the broader analytics team

Requirements

• Bachelor’s Degree in a quantitative field (such as Business Analytics, Statistics, Data Science, Computer Science, Economics, Mathematics, or a related field)
• 1-2+ years of experience in Data Science, Data Analytics, Business Analytics, or a related analytical field
• Must have at least 1-2+ years of experience with writing complex SQL queries for data extraction and manipulation
• Must have at least 1-2+ years of experience with building interactive dashboards in Tableau, Power BI, or similar visualization tools
• Must have at least 1-2+ years of experience with working with cloud data platforms such as Snowflake or Databricks
• Must have at least 1-2+ years of data analysis and basic statistical modeling using Python or R
• Visa sponsorship not available for this position
• Strong proficiency in querying complex datasets using SQL alongside statistical analysis capabilities in Python or R
• Hands-on experience performing data transformation and querying within Snowflake or Databricks environments
• Solid expertise in data visualization, specifically in designing high-impact interactive dashboards using Tableau, Power BI, or similar platforms

Preferred

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

Benefits

• We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits .