Current Statistics
1,284,359 Total Jobs 224,428 Jobs Today 14,763 Cities 222,737 Job Seekers 146,873 Resumes |
|
|
 |
|
 |
 |
Data Analyst for Retail Wireless Incident Management - Littleton Colorado
Company: Dish Location: Littleton, Colorado
Posted On: 05/05/2025
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 first-of-its-kind 5G network, a passion for change and the power to drive it, we are the nation's fourth facilities-based wireless carrier and a new disruptive force in the market. Job Duties and Responsibilities Key Responsibilities: - Extract, clean, and analyze operational data from various sources (e.g., CRM, billing systems, service platforms, incident management systems)
- Identify trends, patterns, and anomalies in operational data to understand financial, churn and/or experience impacts to incidents
- Contribute to reports on key operational metrics and partner with the IT team on deliverables
- Analyze incident data to identify root causes of customer issues, recurring problems, and areas for process improvement
- Develop reporting on incident trends and support problem management efforts
- Partner with cross-functional teams to provide data-driven insights and recommendations for process improvements
- Support the measurement and tracking of incidents using operational data
- Work in our onsite locations to collaborate and support in order support the ongoing changes in the business
Skills, Experience and Requirements Education and Experience: - Bachelor's degree in Data Science, Analytics, Information Systems, or a related field
- 4+ years of experience in data analysis, business intelligence, or a related field, with a focus on operational data
- Experience with data analysis tools (e.g., SQL, Excel, R)
Skills and Qualifications: |
 |
 |
 |
 |
|
|