Job Description

Department Summary
 
DISH is a Fortune 200 company that continues to redefine the communications industry. Our legacy is innovation and a willingness to challenge the status quo, including reinventing ourselves. We disrupted the pay-TV industry in the mid-90s with the launch of the DISH satellite TV service, taking on some of the largest U.S. corporations in the process, and grew to be the fourth-largest pay-TV provider. We are doing it again with the first live, internet-delivered TV service – Sling TV – that bucks traditional pay-TV norms and gives consumers a truly new way to access and watch television.
 
Now we have our sights set on upending the wireless industry and unseating the entrenched incumbent carriers.
 
We are driven by curiosity, pride, adventure, and a desire to win – it’s in our DNA. We’re looking for people with boundless energy, intelligence, and an overwhelming need to achieve, to join our team as we embark on the next chapter of our story.
 
Opportunity is here. We are DISH.

Job Duties and Responsibilities

DISH is seeking a Data Analytics Engineer who will be responsible for building the DISH Wireless Commercial data integrations and implementing the fully-automated analytics modules catering to DISH business team needs and the analytics product offerings in the marketplace for Commercial customers. The engineer will focus on building the data pipelines, insights, KPIs, and metrics using the DISH Wireless data from BSS, OSS, NSS, or external sources to business/partners/customers. This individual will play an active role in the delivery and ensure alignment with the end-state architecture. 

Key responsabilities:

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 proofs-of-concept.
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, and features using agile delivery methodologies.

Skills, Experience and Requirements

Education: Bachelor's degree or equivalent work experience.

Experience: 

3+ years as a Data Analytics engineer in the wireless and/or telecom space esp., in Sales, Marketing, Retention, Product, Revenue, Partner Management, etc.
5+ years of hands-on experience with the development and delivery of secure, reliable, and scalable big data solutions using agile methodologies.

Skills and qualifications:

Experience in building highly performant SQL-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 self-service analytics, insights, KPIs, and metrics.
Experience building and maintaining a data catalog with a dictionary.
Experience with scheduling tools like Control-M or Airflow.
Ensure compliance on all deliverables by performing data audits and analysis.