Senior Data Analyst

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.

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

Core Skills and Competencies (What you'll bring)

• 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

Visa sponsorship not available for this role

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)