• Job Description

  Req#: 88034
  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 Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.
  
  Department Summary
  
  
  Our Retail Wireless team, serving our Boost Infinite, Boost Mobile and Gen Mobile Brands, is redefining consumer expectations through new platforms, new business models and new ways of thinking. Equipped with a first-of-its-kind 5G network, a passion for change and the power to drive it, we’ll emerge as the nation’s fourth facilities-based wireless carrier and a disruptive force in the market at large.
  
  Job Duties and Responsibilities
  
  
  We are seeking a skilled Senior Data Analyst to join our dynamic and growing team. The Senior Data Analyst will be responsible for utilizing advanced analytical methods to analyze large datasets, generate insights, and communicate findings to stakeholders. This role requires a strong understanding of statistical analysis, data manipulation, and data visualization techniques. The ideal candidate will have proven experience in data analysis, strong problem-solving skills, and the ability to work independently to drive projects to completion.
  Key Responsibilities:
  • Analyze complex datasets using statistical methods and tools to uncover trends and patterns.
  • Develop interactive dashboards and reports using visualization tools such as Tableau.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Design and create compelling visualizations that enable stakeholders to make data-driven decisions.
  • Develop and implement data collection & transformation pipeline.
  • Work closely with management to prioritize business and information needs.
  • Provide expertise in data storage structures, data mining, and data cleansing.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use data to create informative, actionable, and repeatable reporting that highlights relevant business trends and opportunities for improvement.
  • Collaborate with cross-functional teams to solve complex problems and drive business decisions.
  
  Skills, Experience and Requirements
  
  
  Education and Experience:
  • Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or related field. Master’s degree preferred.
  • Proven experience as a Data Analyst or related role (5 years of experience).
  Skills and Qualifications:
  • Proficient in SQL, Python, Snowflake and data visualization tools such as Tableau, Power BI, or similar.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Proficient in SQL, Python/R, and data visualization tools such as Tableau, Power BI, or similar.
  • Strong problem-solving skills with an emphasis on product development.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • Experience working with distributed computing tools (Hadoop, Spark, etc.) is a plus.
  
  Salary Ranges
  
  Compensation: $72,350.00/Year - $103,375.00/Year
  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: DISH Benefits .
  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.
  The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
  
  
  Education and Experience:
  • Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or related field. Master’s degree preferred.
  • Proven experience as a Data Analyst or related role (5 years of experience).
  Skills and Qualifications:
  • Proficient in SQL, Python, Snowflake and data visualization tools such as Tableau, Power BI, or similar.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Proficient in SQL, Python/R, and data visualization tools such as Tableau, Power BI, or similar.
  • Strong problem-solving skills with an emphasis on product development.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • Experience working with distributed computing tools (Hadoop, Spark, etc.) is a plus.
  
  
  We are seeking a skilled Senior Data Analyst to join our dynamic and growing team. The Senior Data Analyst will be responsible for utilizing advanced analytical methods to analyze large datasets, generate insights, and communicate findings to stakeholders. This role requires a strong understanding of statistical analysis, data manipulation, and data visualization techniques. The ideal candidate will have proven experience in data analysis, strong problem-solving skills, and the ability to work independently to drive projects to completion.
  Key Responsibilities:
  • Analyze complex datasets using statistical methods and tools to uncover trends and patterns.
  • Develop interactive dashboards and reports using visualization tools such as Tableau.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Design and create compelling visualizations that enable stakeholders to make data-driven decisions.
  • Develop and implement data collection & transformation pipeline.
  • Work closely with management to prioritize business and information needs.
  • Provide expertise in data storage structures, data mining, and data cleansing.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use data to create informative, actionable, and repeatable reporting that highlights relevant business trends and opportunities for improvement.
  • Collaborate with cross-functional teams to solve complex problems and drive business decisions.

• About the company

  Our adventure began by changing the way people watched TV, bringing DISH to where big cable wouldn’t: rural America. Since then, we have reinvented ourselves and our own industry with SLING TV to give millions of consumers more choice in entertainment. Today, we’ve officially entered the consumer wireless industry as the fourth largest wireless provider with our acquisitions of Boost Mobile, Ting Mobile and Republic Wireless — but that’s just the start. We’re building America’s first cloud-native 5G network to transform the way we live, work and play with unlimited possibilities.

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