Job Description

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. Corporation 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.

The DISH Business Analytics team’s Business Operations Analyst will have an important impact on driving the division towards its budget and key results in 2021 and beyond. The role is focused on help key stakeholders investigate, acquire data for, and visually represent key insights related to how the stakeholders’ processes, systems, programs and offers, initiatives, and individual team members are performing and how they can do things faster, easier, and with better results. The analyst will be tasked with a number of projects, including near-term, critical work for DISH Business and DISH Fiber in the areas of lead generation support through the acquisition of additional data sources, property and network support to enable proactive experiential improvement, upgrades penetration and initiative effectiveness, program and offer performance analysis and improvement recommendations, and executive leadership insights into sales, deployments, and installations.

The Business Operations Analyst will help the Analytics team to consult with our internal partners on their specific needs and make informed recommendations to them. Once we understand their use case and needs, we will design a wireframe for the project, present the wireframe’s functionality, scope data requirements, get any advanced backend solutions implemented, and consult with the Business Analytics Data Scientist on any advanced statistical or analytical needs. Once the project’s requirements are fully scoped, and backend work is in place, the Business Operations Analyst will build the required architecture, build the frontend for the stakeholder, present the dashboard, and publish it with the appropriate data governance rules in place.

Responsibilities Include

Develop a broad understanding of DISH Business Analytics, its key goals, functions, data sources, database, salesforce environments, analytical functions, reporting responsibilities, and stakeholder teams
Work with stakeholders throughout the organization to identify opportunities for leveraging company, third party data, core analysis, trending, forecasting, reporting, and visualization to drive business solutions
Act as the go-to data, reporting, and visualization analyst for the division in the realms of sales initiatives, programs and offers, marketing, systems and process improvement, and special-purpose requests (e.g. contract statuses, operational efficiencies, and partner feedback, among others)
Define problems, collect data, establish facts, draw valid conclusions, and provide clear and concise communication with a wide audience of internal teams
Locate and weave together data sources, validate the accuracy of the data, and build reporting for all levels of management within DISH Business
Develop connections to source systems, build extraction and transformation jobs, and model data with Python, Excel, salesforce, and/or Tableau
Define financial and performance metrics that are independent, holistic, accurate, encourage the right behaviors, and that are aligned with company strategy and objectives
Implement interactive visual solutions that allow internal customers to self-serve insights
Perform analysis and forecasting to provide insights and make business recommendations
Conduct report and systems audits to curate offerings, access, and efficiencies
Proactively identify and surface opportunities to improve efficiencies, sales conversions, revenue generation, operations, communication, systems & tools, etc.
Manage the data governance and security of the Business Analytics team’s Tableau server environment to ensure the right people have access to the appropriate data for their needs
Regularly meet with customers that Business Analytics supports to understand key business-level initiatives and news while taking point to ensure we proactively act to support those initiatives

Job Skills / Qualifications

4-year or Master’s degree in Computer Science, Finance, Analytics, and/or Information Technology
1+ years’ experience with SQL and database skills in Teradata, SQL Server, and/or AWS
1+ years’ experience with salesforce, Tableau, and/or other analytics and visualization tools
1+ years’ experience with Python and associated data manipulation, statistical, and visualization packages
Knowledge of core statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis
Experience with report/dashboard development, data/report automation, self-service capabilities, data design and integration, and data quality and governance
Experience in change management and/or working within a rapidly evolving business
Strong Microsoft Office & Google Suite skills – Word/Docs, Excel/Sheets, and PowerPoint/Slides
Strong writing, general communication, influencing, and presentation skills
Ability to quickly develop an understanding of internal customer needs and how to create and utilize backend systems, analysis, automation, self-support principles, and visualization to support them
Experience using Python or other general purpose programming language experience for file management, data manipulation, and automation
Self-starter, curious, accountable, enjoys a healthy level of autonomy, strong work ethic, able to succeed in a fast-paced, high-intensity entrepreneurial-like business environment
Comfortable interacting will all levels of business people. Proactive with a ‘can do’ attitude and is comfortable prioritizing and balancing workloads. Knows when to check in with management

Required Experience

2+ years of experience in one or more of the following:

Data Analyst / Scientist
Reporting Analyst / Developer
Business Intelligence Analyst
Business Operations Analyst