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
Boost Mobile is seeking a highly analytical and data-driven Manager of Sales Channel Analytics to lead all reporting and analytical initiatives related to sales performance across our indirect, web, and national retail channels. This critical role will be responsible for transforming complex sales data into actionable insights, driving strategic decisions, and optimizing sales channel effectiveness. The ideal candidate will possess a deep understanding of sales operations(in a subscription-focused enterprise), advanced analytical skills, and expertise in SQL, Python, and Tableau.
Key Responsibilities:
- Design, develop, and maintain robust dashboards, reports, and visualizations in Tableau to track key performance indicators (KPIs) across all sales channels (indirect, web, national retail)
- Partner with data engineering teams to ensure data integrity and accessibility. Develop and optimize SQL queries to extract, transform, and load data from various sources for analytical purposes
- Translate complex analytical findings into clear, concise, and actionable recommendations for sales leadership, marketing, and executive teams to optimize sales strategies and drive revenue growth
- Collaborate closely with sales operations, marketing, finance, and product teams to align on reporting needs, share insights, and support strategic initiatives
- Lead and mentor a team of analysts, fostering a culture of data-driven decision-making and continuous improvement
Skills, Experience and Requirements
Education and Experience:
- Bachelor's degree in Business, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field; Master's degree preferred
- 5+ years of experience in sales analytics, business intelligence, or a similar data-focused role, with a strong emphasis on sales performance
Skills and Qualifications:
- Expert-level proficiency in SQL for data extraction, manipulation, and analysis of large datasets
- Advanced proficiency in Python for data analysis, statistical modeling, and automation (e.g., Pandas, NumPy, SciPy, Scikit-learn)
- Expert-level proficiency in Tableau for data visualization, dashboard development, and interactive reporting
- Strong analytical and problem-solving skills with the ability to translate complex data into clear, actionable insights
- Excellent communication and presentation skills, with the ability to effectively convey technical information to non-technical stakeholders
Visa sponsorship not available for this role
Salary Ranges
Compensation: $96,250.00/Year - $137,500.00/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: DISH 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.