As a Senior Data Analytics Engineer, you will provide technical expertise in Wireless Analytics, analyze business needs, and design data solutions. You will build prototypes, monitor systems, deliver features using agile methodologies, and ensure compliance through data audits.
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 America's 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
- 5+ 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 improv
Benefits
- Employee Stock Purchase
- Term Insurance
- Accident Insurance
- Health Insurance
- Training Reimbursement
- Gratuity
- Mobile and Internet Reimbursement
- Team Outings
Top Skills
Python
SQL
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