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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.

We are seeking a highly motivated Senior Data Analyst to join the Customer Lifecycle Analytics team. This role bridges traditional analytics and data science, combining strong analytical execution with growing predictive modeling capabilities. The ideal candidate will partner with business stakeholders to generate insights today while helping evolve the organization toward data-driven decisioning and advanced analytics solutions. This position offers an opportunity to expand from analytics into applied data science, contributing to predictive models and decision frameworks supporting customer lifecycle strategy.

Key Responsibilities:

• Lead end-to-end analytical projects by translating complex business problems into data-driven analyses and actionable recommendations

• Develop scalable analytics and reporting solutions that provide visibility into customer behavior, performance trends, and business outcomes

• Conduct advanced statistical and analytical analysis to identify key drivers of customer retention, engagement, and lifetime value

• Support predictive modeling initiatives by preparing analytical datasets, engineering features, building proof-of-concept models, and interpreting results

• Partner with cross-functional teams including Marketing, Finance, Operations, and Product to influence strategy through data-driven insights

• Collaborate with Data Science and AI teams to operationalize analytics solutions and advance capabilities through automation, statistical methods, and machine learning techniques

Education and Experience:

• Bachelor’s degree in a quantitative field (Statistics, Data Science, CS, Economics, etc.) and 5+ years of relevant experience; OR Master’s degree in a quantitative field and 3+ years of relevant experience
• 4-7+ years of experience in Data Analytics, Business Analytics, or related field

Skills and Qualifications:

• Advanced proficiency in SQL and experience using Python or R for data analysis and statistical modeling

• Strong analytical thinking, problem-solving, and statistical reasoning skills with the ability to interpret complex datasets

• Experience building interactive dashboards and visualizations using tools such as Tableau, Power BI, or similar platforms

• Ability to clearly communicate complex analytical findings and insights to non-technical stakeholders and leadership

• Experience with predictive modeling, experimentation frameworks, causal analysis, and feature engineering workflows

• Familiarity with customer lifecycle, marketing, or behavioral analytics, with telecom, subscription, or consumer analytics experience preferred

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 leaves@dish.com 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)