Hiring: Data Analyst II - Customer Lifecycle Company: Boost Mobile Location: Littleton, CO Job Posted Time: 2026-09-12 11:21:33 Target Skills & Keywords : Accessibility, Data Pipeline, Databricks, Machine Learning, Python, SQL, Snowflake About the job Experience: •2+ years of experience in Data Science, Data Analytics, Business Analytics, or a related analytical field Required Skills: •Candidates must be willing to participate in at least one in-person interview. •What Success Looks Like (Objectives) •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 •Partner cross-functionally 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 Qualifications: •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 •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 •Writing complex SQL queries for data extraction and manipulation •Building interactive dashboards in Tableau, Power BI, or similar visualization tools •Working with cloud data platforms such as Snowflake or Databricks •Data analysis and basic statistical modeling using Python or R •Visa sponsorship not available for this position Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!