Business Data Analyst II
Job Duties And Responsibilities
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.
What Success Looks Like (Objectives)
- 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
Skills, Experience And Requirements
- Core Skills and Competencies (What you’ll bring):
- 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
- Additional Qualifications:
- 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
- Minimum Requirements:
- 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
Pay Range
$63,150.00/Year - $90,000.00/Year
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.