Data Analyst/Engineer - Full-time

DISH is a Fortune 200 company with more than $15 billion in annual revenue 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.

A successful Data Analyst will have the following:

• Bachelor’s Degree from a four-year college or university; advanced degree in a STEM field a plus
• 1 – 2 years of experience in an analytical role such as Data Analyst OR a degree in numerical fields (engineering, finance, math) in lieu of experience; or equivalent combination of education and experience.
• Expertise in SQL and scripting languages. Familiarity with Python preferred.
• Previous experience with AWS is desired but not required.
• Comfortable working in Unix environment with a basic knowledge of shell scripting.
• Basic data visualization skills using Excel.  Experience in Tableau preferred.

The Data Analyst will be a key member of the Data & Analytics team by:

• Using the DISH STB Viewership data to speak to ad campaign performance metrics (reach, frequency and lift) and provide key insights on how people consume content.
• Working with the DISH Media Sales team, 3rdparty data vendors and measurement partners to support business needs.
• Assisting fellow analysts and the DISH IT team to onboard new partnerships into our automated data import/export solutions.
• Developing innovative ways to monetize the data we have access to while being cognizant of MVPD privacy laws. 
• Acting as a business contact for special projects coordinated across different teams in Media Sales and departments within DISH.
• Attending industry conferences and accompanying the Media Sales team in face to face meetings to represent data operations.
• Providing ad-hoc reporting on viewership data based on various demographic attributes of our subscriber base. 
• Extracting and analyzing large datasets in databases like Netezza, Teradata, Hadoop using SQL, Python, VBA and custom-built tools.