Supply Chain Business Intelligence Analyst II

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.

The In-Home Services Corporate team is devoted to supporting thousands of talented employees in delivering the industry’s best products and solutions. Constantly refining our best-in-class service, IHS Corporate manages the behind-the-scenes operations to ensure a seamless customer experience through analytics, project management and training initiatives.

Candidates must be willing to participate in at least one in-person interview.

This position in the Command Center Organization within In Home Services focuses on optimizing field efficiency and logistics flows across distribution and manufacturing sites. The role resolves complex operational challenges by analyzing forecasts and planning the forward and reverse supply chain pipeline for equipment. Key objectives include driving cost reduction, ensuring resource capacity alignment, and delivering data-backed operational insights to leadership.

Success depends on maintaining strict accuracy, meeting tight timelines, and facilitating clear cross-functional communication.

• Analyze large, complex datasets using SQL, Python, R, and Tableau to deliver actionable operational insights and reduce overall logistics costs
• Create and maintain advanced forecasting and headcount planning models to ensure accurate budgeting and variance analysis
• Lead cross-functional alignment meetings with Supply Chain, Manufacturing, and Distribution partners to establish unified operational plans
• Develop and monitor performance dashboards that track key performance indicators across multiple regional sites
• Formulate strategic recommendations for continuous improvement to present directly to field management and executive leadership
• Leverage predictive analytics and AI tools to automate reporting processes, improve forecasting precision, and scale data operations

• Advanced analytical and statistical modeling skills to define operational problems, extract data, and draw valid conclusions
• Deep technical expertise in data manipulation tools, specifically SQL, Python, R, and Tableau
• AI literacy and application skills to integrate machine learning models and automated data processing into daily workflows
• Strong professional communication skills to translate complex data into clear, concise, and executive-ready reports
• Critical experience managing large-scale datasets and evaluating supply chain or logistics workflows in a high-volume business environment
• Adaptability and an innovative mindset to navigate operational changes, manage risks, and implement continuous improvements

• Prior experience working within a corporate supply chain, logistics, or manufacturing environment
• Proficiency in designing and deploying interactive Tableau dashboards for business stakeholders
• Familiarity with advanced programming languages (R, Python, SQL) applied to predictive forecasting

• Bachelor’s Degree in Mathematics, Statistics, Computer Science, Business Analytics, or a related quantitative field
• 3 years of professional experience manipulating large datasets and translating data into actionable business insights
• Advanced Microsoft Office or Google Suite applications, including high-level formulas and file linking
• Data modeling and statistical analysis methodologies
• Database querying and dataset manipulation

Visa sponsorship not available for this role.

Compensation: $63,150.00/Year - $90,000.00/Year

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.

We are committed to fostering an inclusive and equitable workplace where every individual has…