Company Summary

Echo Star 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.

As an Acquisition Marketing Analyst II, you will take ownership of the analytical frameworks that define our growth, transforming fragmented data into cohesive acquisition strategies. This role is focused on solving the challenge of cross-channel attribution and identifying high-value customer segments that traditional metrics might overlook. Your work will provide the critical evidence needed to shift marketing investments, ensuring our budget is always aligned with the highest potential for return.

What Success Looks Like (Objectives):

• Deliver an audit of current acquisition channels within your first 90 days to identify efficiency gaps and propose a reallocated spend model that improves ROAS by a measurable margin

• Design and execute a comprehensive A/B testing roadmap for landing pages and ad creatives, directly contributing to the team’s conversion rate optimization OKRs

• Automate complex weekly and monthly reporting workflows using AI-driven tools to reduce manual data preparation time by at least 30%

• Translate intricate web behavior data into actionable customer personas, allowing the marketing team to tailor messaging for specific high-lifetime-value cohorts

• Partner independently with the Data Science team to refine our attribution models, ensuring every touchpoint in the customer journey is accurately valued

• Provide strategic recommendations during monthly business reviews that synthesize internal performance with broader e Commerce market trends

Skills, Experience and Requirements

Core Skills and Competencies (What you’ll bring):

• Applying advanced SQL and Python techniques to extract, clean, and model data from disparate sources, ensuring a single source of truth for marketing performance

• Developing sophisticated visualization dashboards in Tableau or Google Analytics that allow non-technical stakeholders to self-serve insights and monitor KPIs in real-time

• Demonstrating AI Literacy by integrating generative AI and machine learning scripts into daily workflows to predict churn or optimize bidding strategies

• Synthesizing complex analytical findings into clear, persuasive narratives that influence executive-level decision-making and marketing strategy

• Maintaining deep knowledge of the Amazon marketplace and e Commerce landscape to proactively identify shifts in competitor behavior or platform algorithms

• Collaborating across product and IT teams to ensure data integrity and the successful implementation of tracking pixels and API integrations

• Championing data-driven culture by mentoring junior staff on analytical best practices and maintaining a high standard for detail-oriented problem solving

Minimum Requirements

• Minimum Education: Bachelor’s Degree in Marketing, Business, Mathematics, Analytics, or a related field

• Minimum Experience: 2–4 years of experience in Data Analytics or a similar data-intensive role

• Required Technical Skills: At least 2 years of experience with:

Advanced SQL for data retrieval and manipulation

• Python or R for statistical analysis

• Data visualization platforms (Tableau, PowerBI, or Databricks)

• Nice to have: Web analytics tools (Google Analytics 4 or Adobe Analytics)

• Amazon Marketing Cloud, DSP, or other advanced programmatic advertising environments

• e Commerce platforms such as Magento, Shopify, or Big Commerce

• Statistical significance and experimental design in a digital marketing context

Visa sponsorship not available for this role

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: Echo Star 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. Echo Star 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.

Echo Star 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. Echo Star has a more detailed Accommodation Policy that applies to employees. Echo Star 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)

Candidates must be willing to participate in at least one in-person interview.

As an Acquisition Marketing Analyst II, you will take ownership of the analytical frameworks that define our growth, transforming fragmented data into cohesive acquisition strategies. This role is focused on solving the challenge of cross-channel attribution and identifying high-value customer segments that traditional metrics might overlook. Your work will provide the critical evidence needed to shift marketing investments, ensuring our budget is always aligned with the highest potential for return.

What Success Looks Like (Objectives):

• Deliver an audit of current acquisition channels within your first 90 days to identify efficiency gaps and propose a reallocated spend model that improves ROAS by a measurable margin

• Design and execute a comprehensive A/B testing roadmap for landing pages and ad creatives, directly contributing to the team’s conversion rate optimization OKRs

• Automate complex weekly and monthly reporting workflows using AI-driven tools to reduce manual data preparation time by at least 30%

• Translate intricate web behavior data into actionable customer personas, allowing the marketing team to tailor messaging for specific high-lifetime-value cohorts

• Partner independently with the Data Science team to refine our attribution models, ensuring every touchpoint in the customer journey is accurately valued

• Provide strategic recommendations during monthly business reviews that synthesize internal performance with broader e Commerce market trends

Core Skills and Competencies (What you’ll bring):

• Applying advanced SQL and Python techniques to extract, clean, and model data from disparate sources, ensuring a single source of truth for marketing performance

• Developing sophisticated visualization dashboards in Tableau or Google Analytics that allow non-technical stakeholders to self-serve insights and monitor KPIs in real-time

• Demonstrating AI Literacy by integrating generative AI and machine learning scripts into daily workflows to predict churn or optimize bidding strategies

• Synthesizing complex analytical findings into clear, persuasive narratives that influence executive-level decision-making and marketing strategy

• Maintaining deep knowledge of the Amazon marketplace and e Commerce landscape to proactively identify shifts in competitor behavior or platform algorithms

• Collaborating across product and IT teams to ensure data integrity and the successful implementation of tracking pixels and API integrations

• Championing data-driven culture by mentoring junior staff on analytical best practices and maintaining a high standard for detail-oriented problem solving

Minimum Requirements

• Minimum Education: Bachelor’s Degree in Marketing, Business, Mathematics, Analytics, or a related field

• Minimum Experience: 2–4 years of experience in Data Analytics or a similar data-intensive role

• Required Technical Skills: At least 2 years of experience with:

Advanced SQL for data retrieval and manipulation

• Python or R for statistical analysis

• Data visualization platforms (Tableau, PowerBI, or Databricks)

• Nice to have: Web analytics tools (Google Analytics 4 or Adobe Analytics)

• Amazon Marketing Cloud, DSP, or other advanced programmatic advertising environments

• e Commerce platforms such as Magento, Shopify, or Big Commerce

• Statistical significance and experimental design in a digital marketing context

Visa sponsorship not available for this role