Senior Data Analyst

Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Department Summary

Our Customer Experience Operations (CXO) teams go above and beyond by simplifying lives and enhancing community access to our products and services. Behind the scenes, dedicated individuals focus on refining the experience for millions of customers across all of our brands and providing support to our field agents.

Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.

This position is within the Performance Optimization (PO) team in the Customer Experience Operations (CXO) organization. PO is a shared resource group of data engineers, data analysts, software engineers, and program managers. We develop and maintain web applications, process automations, ETL, and reporting solutions for CXO teams.

Key Responsibilities :

Identify, prioritize, and lead high-impact AI / ML and GenAI use cases that drive measurable improvements in customer experience and business outcomes

Provide technical leadership across the full AI lifecycle, including modeling approaches, data architecture, MLOps, deployment, and ongoing monitoring to ensure scalable, reliable, and compliant solutions

Apply advanced NLP and GenAI techniques to analyze large volumes of structured and unstructured data (., deployed code, requirements, CX signals) to automate insights and improve CXO process efficiency

Design, prototype, and implement customer-facing GenAI solutions such as RAG-based knowledge systems, automated resolution summaries, and intelligent CX tooling

Establish and champion AI best practices, data governance, and ethical AI principles (fairness, transparency, regulatory compliance), while serving as the AI / ML subject matter expert across data, analytics, and engineering teams

Partner with business and product leaders to translate complex technical insights into clear, actionable recommendations, influence roadmaps and investment decisions, and drive AI enablement through training, documentation, and hands-on guidance

Skills, Experience and Requirements

Education & Experience :

• Master’s or PhD in quantitative field (Computer Science, Mathematics, Statistics, Engineering) or equivalent practical experience
• 4+ years of professional experience in an advanced analytics role with a focus on Customer Experience or Operational Analytics within a large enterprise or equivalent practical experience

Skills and Qualifications :

Visa sponsorship not available for this role

Salary Ranges Compensation : $72,350.00 / Year - $103,400.00 / 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 : .

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. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

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.