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Data Analyst, CX Process Optimization - Littleton Colorado
Company: Dish Location: Littleton, Colorado
Posted On: 05/07/2025
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 The Retail Wireless CX Optimization team is a dynamic group in Business Operations, focused on understanding and enhancing the end-to-end customer journey across all channels. We leverage data from various sources to identify opportunities for improvement in customer experience, operational efficiency, and profitability. The team works closely with IT and Product teams to implement impactful changes. This role reports directly to the Manager, Retail Wireless CX Optimization within the Retail Wireless Business Operations group. The Data Analyst, CX Process Optimization will be responsible for analyzing operational data to identify opportunities for customer experience improvement and drive process optimization. This role will focus on leveraging data from various systems to uncover insights into customer behavior, operational performance, and the impact of process changes. This analyst will work closely with cross-functional teams including VOC and incident management to provide and communicate data-driven recommendations and support the implementation of CX initiatives. 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 customer behavior and process performance
- Contribute to reports on key operational metrics and partner with the VOC team on CX KPIs
- 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 and CX initiatives
- Communicate the business impact of data findings to technical and non-technical audiences.
- Collaborate with the VOC team to integrate operational data with customer feedback and survey data
- Support the measurement and tracking of CX improvement initiatives using operational data
Skills, Experience and Requirements Education and Experience: - Bachelor's degree in Data Science, Analytics, Information Systems, or a related field
- 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)
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