EchoStar's portfolio of brands in action.
EchoStar Logo

EchoStar

Data Analyst II - Marketing

Posted Yesterday
In-Office
Littleton, CO, USA
95K-110K Annually
Junior
In-Office
Littleton, CO, USA
95K-110K Annually
Junior
Design scalable data structures for marketing attribution and audience segmentation, build SQL/Python workflows, create automated Tableau dashboards, run A/B tests with statistical rigor, and integrate AI-driven automation to accelerate reporting and insights for marketing stakeholders.
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

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.

 

You will bridge the gap between complex marketing data and actionable business strategy by designing the data structures that power our marketing performance reporting. Your mission is to solve the puzzle of customer identity and campaign attribution, ensuring that ever-y marketing dollar is backed by precise audience segmentation and performance insights. By transforming raw data into visual stories, you will enable our leadership to make high-stakes decisions that drive customer growth and engagement.

 

What Success Looks Like (Objectives)

  • Audit our current cohort building processes and implement optimized SQL/Python workflows that reduce audience segment latency within your first 90 days

  • Deliver a suite of automated Tableau dashboards that provide real-time visibility into campaign health and conversion trends for all major stakeholders

  • Partner cross-functionally with Creative and Product teams to align data insights with business objectives, ensuring a unified approach to our customer journey

  • Execute rigorous A/B tests using statistical methods to ensure every marketing experiment yields actionable and significant results

  • Leverage AI-driven automation to streamline large dataset management and generate advanced reports, accelerating data mart operations and enhancing campaign insights.


Skills, Experience and Requirements

Core Skills and Competencies (What you’ll bring) 

  • Demonstrate advanced technical expertise in SQL and Python to build complex data structures, moving beyond simple queries to developing scalable analytical environments
  • Apply a deep understanding of statistical concepts like hypothesis testing and confidence intervals to validate the significance of campaign results and protect against data bias
  • Use strong data storytelling skills to translate raw, multi-source data into interactive, easy-to-digest reports that drive executive-level decision-making
  • Build strong working relationships across diverse teams, demonstrating cross-functional awareness to ensure data engineering efforts support broader marketing and product goals
  • Manage the end-to-end lifecycle of campaign data within complex ecosystems, demonstrating a track record of data platform mastery
  • Demonstrate AI Literacy by identifying opportunities to integrate and develop generative AI or automated scripting into data cleaning and visualization workflows to optimize resource efficiency

Minimum Requirements

  • Minimum Education: Bachelor’s Degree in Data Analytics, Data Science, or related quantitative field; Master’s Degree Preferred 
  • Minimum Experience: 1+ years of experience in Data Analytics or Data Science
  • Required Technical Skills: Must have at least 1 year of experience with:
    • Advanced SQL (window functions, CTEs, and complex joins)
    • Python for data cleaning and manipulation 
    • Data Visualization tools (Tableau, Databricks, Power BI.)
    • Preferred: Proficiency in marketing analytics tools, A/B testing, and data science projects within marketing environments.

Visa sponsorship not available for this role


Salary Ranges
Compensation: $95,000.00/Year - $110,000.00/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)

HQ

EchoStar Englewood, Colorado, USA Office

EchoStar Corporate Headquarters - Meridian Office

9601 S Meridian Boulevard, Englewood, CO, United States, 80112

EchoStar Centennial, Colorado, USA Office

Centennial, United States

EchoStar Denver, Colorado, USA Office

EchoStar Downtown Denver Office - DGC Office

1615 17th St., Denver, CO, United States, 80202

EchoStar Littleton, Colorado, USA Office

EchoStar Wireless Headquarters - Riverfront Office

5701 S Santa Fe Dr., Littleton, CO, United States, 80120

Similar Jobs at EchoStar

Yesterday
In-Office
Englewood, CO, USA
72K-103K Annually
Mid level
72K-103K Annually
Mid level
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Drive QA excellence through manual and automated testing, build and maintain regression suites, develop Salesforce-specific test plans, perform API testing, and collaborate with developers to ensure stable, customer-ready releases.
Top Skills: Api TestingLinuxSalesforceTest Automation
Yesterday
In-Office
Littleton, CO, USA
16-23 Hourly
Entry level
16-23 Hourly
Entry level
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Perform general repairs, preventive maintenance, inspections, and complete daily work orders for onsite facilities. Support projects, furniture/office moves, event setup/tear down, seasonal snow removal, and assist contractors. Operate hand and power tools and heavy equipment (forklift, scissor/boom lifts). Provide occasional on-call emergency support and follow safety procedures.
Top Skills: Boom LiftForkliftGoogle SuiteMS OfficeScissor Lift
Yesterday
In-Office
Littleton, CO, USA
27-39 Hourly
Mid level
27-39 Hourly
Mid level
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Install, program, commission, troubleshoot, and maintain electronic security systems (access control, IP cameras, intrusion alarms). Perform pre-wiring and on-site installations, patch server software, document project status for Project Managers, and travel to remote facilities as needed (typically 10–15%).
Top Skills: Access ControlAmagAxisBadge ReadersBoschIntrusion Alarm SystemsIp CamerasLow-Voltage SystemsMilestoneServer Software

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account