Overview:
Beyond connecting customers to their favorite entertainment, our Video Services team delivers an award-winning TV experience to millions of customers across DISH TV and Sling TV platforms. Our dynamic teams are unwavering in our commitment to continuous innovation, ensuring the evolution of products and the constant enhancement of the overall customer experience.
Responsibilities:
Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.
Key Responsibilities:
* Organize and present information to bring the customer to life in both formal and informal presentations to large and small groups, to both technical and non-technical audiences
* Provide weekly insight reports to stakeholders and representing the team as a program lead/SME in meetings
* Lead the measurement, analysis and reporting of key Technical Operations and video service performance metrics across DISH and Sling TV
* Support a broad range of data needs across the team to enhance overall product stability, improve service reliability and enable proactive detection and mitigation of issues
* Surface data-driven insights that strengthen product stability, inform operational decision-making, and drive continuous improvements in service quality
* Work closely with cross-functional partners, including Engineering, Product, and Operations, to translate complex data into meaningful narratives that guide strategy and deepen the organization's understanding of product performance and customer impact
Qualifications:
Education & Experience:
* Degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, or equivalent practical experience
* A Master's degree with solid hands-on work and consulting experience is a plus
* 2-4 years experience in analytics and data visualization with the ability to translate data into actionable insights
* 2-4 years experience working with raw data and adept at SQL querying
Skills and Qualifications:
* Excellent organizational, verbal, visual, storytelling, presentation, and written communication skills
* Ability to communicate complex ideas by transforming raw data into clear narratives and presenting results to non-technical audiences
* Strong attention to detail with the ability to manage and execute multiple deliverables simultaneously
* Experience creating process documentation, reports, and insights from non-standardized customer feedback data
* Proficiency in statistical analysis, data modeling, data visualization (Tableau), and programming languages such as Python, R, and SQL
* Familiarity with omnichannel customer experience data and machine learning techniques, including supervised/unsupervised models and predictive/prescriptive analytics
Visa sponsorship not available for this role
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