EchoStar's portfolio of brands in action.
EchoStar Logo

EchoStar

Business Data Analyst II

Reposted An Hour Ago
In-Office
Englewood, CO
63K-90K Annually
Mid level
In-Office
Englewood, CO
63K-90K Annually
Mid level
Analyze large operational datasets to optimize field efficiency, logistics, and supply chain pipelines. Build forecasting and headcount models, create dashboards and KPIs in Tableau, apply predictive analytics/ML to automate reporting, lead cross-functional alignment, and present data-driven recommendations to field and executive leadership to reduce costs and align capacity.
The summary above was generated by AI
Company Summary

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.


Department Summary

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.


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

 

Visa sponsorship not available for this role

 

#LI-JZ2 


Salary Ranges
Compensation: $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.

 

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. 

 

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

 

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

 

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact [email protected] if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

Similar Jobs at EchoStar

Yesterday
In-Office
111K-157K Annually
Mid level
111K-157K Annually
Mid level
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Provide in-house corporate legal support for SEC reporting, governance, M&A, financings, and subsidiary maintenance. Draft and file SEC reports, manage Section 16 compliance, support board and shareholder processes, conduct due diligence, review disclosures, and apply AI tools to streamline legal research and document review.
Top Skills: Ai Tools
Yesterday
In-Office
96K-138K Annually
Senior level
96K-138K Annually
Senior level
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Lead M&A workstreams and valuation modeling, build forward-looking financial and subscriber-profitability models, conduct market and competitive analysis, synthesize due diligence into executive presentations, partner cross-functionally to forecast drivers, and apply generative AI and predictive analytics to accelerate financial workflows.
Top Skills: Ai CopilotsGenerative AiPredictive Analytics
Yesterday
In-Office
110K-157K Annually
Senior level
110K-157K Annually
Senior level
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Lead and develop a sourcing team to execute complex strategic sourcing and high-value contract negotiations. Build long-term category strategies, partner with Legal/Finance/Business Units, integrate AI and automation into sourcing processes, analyze spend and supplier performance, and drive cost-savings and risk mitigation across enterprise procurement.
Top Skills: Advanced AnalyticsAi-Driven Sourcing ApplicationsAi-Powered Sourcing ToolsAutomation PlatformsDigital Procurement SuitesEnterprise Erp SystemsGenerative AiSpend Analytics Platforms

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account