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Hours Full-time
Location Englewood, CO
Englewood, Colorado

About this job

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 launch of 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 have a bold sense of pride, adventure, and desire to win – it’s in our DNA.  And 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 Marketing Data Analyst will have and/or be the following:

 

 

  • Bachelor's degree from a four-year university or college in Economics, Statistics, Math, Computer Science, Marketing or other related fields; or equivalent combination of education and related experience. MBA or MS in Statistics, Math or related fields a plus.
  • A strategic and innovative thinker who is agile and possesses leadership capability. Capable of promotion and increased levels of responsibility.
  • Strong SQL and database skills in Oracle, Teradata, and/or SQL Server databases. Strong Microsoft Office skills -- Word, Excel, PowerPoint, Project, Visio. Proficiency in SAS, Tableau and/or other complex analytical tools a strong plus.
  • Client-service and/or consulting experience a plus. Experience with both technical and non-technical presentation of analytic results. Strong attention to detail.
  • Ability to work effectively with cross-functional teams to perform planning and execution of initiatives.
  • Ability to be flexible in a changing work environment; ability to work well under pressure; ability to execute aggressive deadlines under changing business dynamics.  Self-starter, independently initiating and driving projects toward completion.

The Marketing Data Analyst will have a direct impact on growing the Dish business. This includes helping us optimize performance in current dish subscriber acquisitions and in supporting new lines of business including broadband internet, voice services, in-home services, and more as Dish continues to drive the future of entertainment and interactivity.  We’re looking for those with the capability and desire to position themselves and the Dish business for rapid growth.

 

Initially, the position will focus on producing accurate, effective campaign lists that incorporate all available data (e.g. lead tracking, household data, competitive intelligence, predictive models) to improve our effectiveness in targeting consumers with the highest propensity to be interested in our services. The role will evolve to help automate these processes over time and to work closely with customer acquisition managers to create and manage strategies aimed at maximizing the effectiveness of marketing campaigns.  Where it goes from there…you get to help us decide.

 

As part of the Marketing Analytics team, the Marketing Data Analyst will be responsible for data mining, predictive analytics support, program analysis activities in the marketing organization, and campaign segmentation building.  This can include use of advanced statistical targeting models, participating in development and maintenance of analytic infrastructure, rigorous program analysis, creating and running advanced queries and reports, and performing sophisticated customer-level analyses.

 

More detailed duties include:

  • Leverage SQL development skills to perform full-lifecycle data mining activities including requirements analysis, data quality assessment, data profiling, design and development of analytic data sets, data extraction, transformation, and loading (ETL) from both relational databases and flat-file sources.  Work with internal clients to understand requirements and potential uses for predictive and descriptive models.
  • Provide analytical support for campaign strategy development, campaign test and measurement design and post-campaign analysis.
  • Develop and execute advanced queries, selects and marketing reports.
  • Provide support for ad hoc analytical projects, including customer-level analysis, segmentation analysis, product affinity and customer profiling analysis.