EchoStar is looking to solve business problems related to sales and retention by leveraging data analytics and insights to drive performance and inform strategic decisions.
Requirements
- Tableau and SQL skills required
- Amazon Athena, Amazon Redshift and Python experience a plus
- Experience with machine learning problems (AI / Predictive Analytics) preferred
- AI platforms (ex Dataiku, Google AI Studio) a plus
- Strong analytical thinking and problem-solving skills
- Familiar with relational database concepts
- Experience with AWS cloud and other cloud-based data platforms
Responsibilities
- Locate and integrate data from various sources, ensuring data accuracy and building comprehensive reporting dashboards for all levels of management within sales and retention teams
- Design and implement reporting alerts to proactively monitor for unforeseen spikes, dips, or trend changes in key business metrics
- Analyze and interpret trends in sales and retention metrics to provide actionable recommendations for business process improvements and strategy adjustments
- Define business problems, collect relevant data, establish facts, draw valid conclusions, and present clear and concise communication to diverse internal departments
- Manage and maintain the data infrastructure for the sales agent variable compensation plan, ensuring accuracy and timely processing of incentive payments
- Analyze call center data to recommend and implement call routing strategies that optimize agent efficiency and customer experience
- Manage the DISH-wide Tableau Server site, including user permissions, performance optimization, and content management
Other
- BA/BS in a business or STEM field (information systems, math, finance, accounting) or comparable experience
- 2+ Years experience in an analyst role
- Excellent communication, presentation, and documentation skills
- Attention to detail
- Demonstrated ability to work independently, proactively identify opportunities for improvement
- Candidates must be willing to participate in at least one in-person on-site interview
