Data Analytics Engineer

Company Summary

DISH Network Technologies, an EchoStar Company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products, and now we are building Americas First Smart Network.

Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.

Department Summary

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow.

Job Duties And Responsibilities
 Provide technical expertise in Wireless Analytics
 Understand business needs and analytics product offerings to design and build
 data and analytics solutions
 Analyze business and technical requirements
 Quickly build prototypes to test out proof-of-concepts
 Address technical concerns, ideas and suggestions
 Assist in solving technical problems when they arise
 Monitor systems to ensure they meet the partner, user and business goals
 Deliver solutions, features using agile delivery methodologies

Skills, Experience And Requirements
 1+ years as a Data Analytics engineer in the wireless and/or telecom space esp., in Sales, Marketing, Retention, Product, Revenue and Partner Management etc.
 1+ years of hands-on experience with development and delivery of secure, reliable and scalable big data solutions using agile methodologies
 Experience in building highly performant SQL and Python based solutions delivered using file feeds, Data-as-a-Service APIs, streaming data analytics or BI tools like Tableau
 Experience in data management and engineering capabilities
 Experience in cloud technologies (like AWS) and data analytics platforms
 Experience in delivering of self-service analytics, insights, KPIs and metrics
 Experience working with cross-functional teams in a dynamic environment across different geographies and vendors
 Experience building and maintaining data catalog with dictionary
 Ensure compliance on all deliverables by performing data audits and analysis
 Excellent written/verbal communication skills
 Strong analytical and problem-solving skills
 Ability to adapt and deep dive into new technologies
 Strong desire to learn new things and continually improve

Benefits
 Employee Stock Purchase
 Term Insurance
 Accident Insurance
 Health Insurance
 Training Reimbursement
 Gratuity
 Mobile and Internet Reimbursement
 Team Outings,