Senior Data Analyst

Expired
Company:  DISH
Location: Littleton
Closing Date: 26/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Company Summary:
DISH, 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 Mobile and Gen Mobile. 

Department Summary:
Our Wireless Technology organization is transforming the future of connectivity. We’re doing it by building the country’s first virtualized, standalone 5G wireless network from scratch. The foundation of a connected world, it’s a network free of the limitations of the past, and flexible enough to satisfy all the social, economic and transformative needs of the changing world.

Job Duties and Responsibilities:
Key Responsibilities:

Develop and apply statistical models and machine learning algorithms for 5G transport network optimization.

Analyze large datasets to uncover insights and optimize complex SQL queries for scalable data retrieval.

Design and maintain scalable data pipelines using tools like Apache Airflow and Databricks for transport network data.

Collaborate with stakeholders to translate transport network needs into actionable data science tasks.

Mentor team members and present insights through reports and visualizations using tools like Tableau and Grafana.

Stay updated on industry trends and propose new methodologies for advancing data science in 5G transport technology.

Skills, Experience and Requirements:
Education and Experience:

Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience

3+ years of experience as a Data Analyst or in a similar role, with a proven track record of leading complex projects and delivering impactful results

 

Skills and Qualifications:

Proficiency in programming languages such as Python, R, or SQL

Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn)

Experience with AWS data services including S3, Redshift, SageMaker, and Glue

Strong problem-solving skills with a creative and analytical mindset

Excellent communication and presentation skills, with the ability to convey complex technical information to a diverse audience

Proven ability to work collaboratively in a fast-paced, cross-functional team environment

Benefits:
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities and a flexible time away plan. All benefits can be viewed here: .

 

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.

 

This will be posted for a minimum of 3 days or until the position is filled.

Salary Range:
USD $(phone number removed) - $(phone number removed) / Year

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