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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - **Company:** ECHOSTAR - **Location:** Littleton, CO, United States - **Experience:** Expert - **Salary:** $100,000.0 - $118,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Information Engineering, Data Mining, Data Presentation, Data Visualization, Data Warehousing, Python (Programming Language), Machine Learning, Raw Data, Power BI, Data Driven Tests, SQL Databases, Tableau (Software), Freeform SQL, Snowflake, Information Technology, Data Analytics, Xgboost, Data Pipelines, K Means, Databricks - **Published:** August 6, 2026 - **Apply:** https://www.juju.com/job/00000000gltenq ## About the Role + Advanced proficiency in querying complex datasets using SQL alongside hands-on machine learning and statistical modeling capabilities in Python + Practical experience applying supervised and unsupervised machine learning algorithms + 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 Additional Qualifications + Master's degree in Data Science, Data Analytics, Computer Science, Statistics, Mathematics, or a related field Minimum Requirements + Minimum Education: Bachelor's Degree in Data Science, Data Analytics, Computer Science, Statistics, Mathematics, or a related field + Minimum Experience: 4 years of experience in Data Analytics, Data Science, or a related analytical field + Required Technical Skills: + Building, validating, and applying machine learning models in Python + Developing interactive dashboards in Tableau, Power BI, or similar visualization tools + Writing advanced SQL queries for data extraction and manipulation + Data engineering or data analysis on Snowflake or Databricks platforms ## Description EchoStar 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. Job Duties and Responsibilities 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. What Success Looks Like (Objectives) + Lead end-to-end analytical projects, translating complex business problems into actionable customer lifecycle strategies and data-driven recommendations + Develop, train, and evaluate predictive machine learning models (e.g., XGBoost, LightGBM, K-Means) to forecast customer churn, model lifetime value (LTV), and drive personalized engagement. + Design, develop, and maintain robust reporting suites and interactive dashboards that provide clear visibility into customer metrics and model outputs. + Conduct advanced statistical analysis to identify key business drivers of customer retention and establish measurable key performance indicators (KPIs) that align with department OKRs + Partner with Data Science and Engineering teams to engineer features, refine data pipelines, and operationalize analytics/AI models into business workflows. + 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Logs in observability - Correlation](https://www.wearedevelopers.com/videos/1430-logs-in-observability-correlation) - [Explainable machine learning explained](https://www.wearedevelopers.com/videos/589-explainable-machine-learning-explained) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)