Senior Data Analyst - Data Management & BI
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Sep 28, 2026.
The Enterprise Data Management Environment requires modernization and design optimization to support evolving business initiatives. Fragmented data ingestion applications and complex production pipelines demand scalable, high-performance architecture to ensure reliable analytical outputs. This role addresses these challenges by developing advanced ETL processes, optimizing cloud infrastructure, and evaluating emerging AI tools to continuously improve warehouse workflows.
What Success Looks Like (Objectives):
- Design ETL processes, data ingestion mechanisms, and streaming applications utilizing cloud services, SQL, Python, Snowflake, and AWS Redshift
- Integrate data extracts, loads, and reports seamlessly with business intelligence and analytical applications
- Maintain core data pipelines while evaluating and resolving critical production issues to ensure minimal downtime
- Collaborate closely with analysts and engineers by leveraging modern orchestration and ETL tools like Airflow and Databricks
- Optimize complex SQL queries to maximize system performance and manage the underlying cloud infrastructure effectively
- Explore and evaluate new technologies with AI tools to continuously improve upon existing Data Warehouse processes
Core Skills, Competencies, and Key Experiences (What you’ll bring)
- Strong skills in designing, optimizing, and modernizing data architectures within an Enterprise Data Management Environment
- Competency in building scalable ETL processes, data ingestion systems, and streaming applications via AWS, Snowflake, and Redshift
- Advanced proficiency in SQL optimization, Python automation, and Linux/Unix shell scripting for robust data pipeline maintenance
- AI Literacy and AI Application skills to proactively evaluate and integrate emerging AI tools into existing warehouse workflows
- Critical thinking and collaborative problem-solving abilities to resolve complex IT issues and deliver sound data insights across cross-functional teams
Additional Qualifications:
- Experience working within Agile teams to deliver rapid, high-quality data solutions
- Possession of a Master’s degree in Data Science, Computer Science, or a closely related quantitative field
Candidates must be willing to participate in at least one in-person interview.
Minimum Requirements:
- Minimum Education: Bachelor’s degree in Data Science, Computer Science, or a related field
- Minimum Experience: 3 years of experience in data warehouse related teams
- Required Technical Skills: Must have at least 1 year of experience with:
- SQL
- Airflow or Control-M orchestration tools
- RDBMS and modern Data Warehousing concepts
Visa sponsorship not available for this role
Salary Range
Compensation: $83,160.00/Year - $118,800.00/Year
About Our Department
Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.
About Our Company
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.
Benefits
We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here:EchoStar 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.
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.
This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled.
We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact [email protected] if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email [email protected].
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English /Spanish)
- Design ETL processes, data ingestion mechanisms, and streaming applications utilizing cloud services, SQL, Python, Snowflake, and AWS Redshift
- Integrate data extracts, loads, and reports seamlessly with business intelligence and analytical applications
- Maintain core data pipelines while evaluating and resolving critical production issues to ensure minimal downtime
- Collaborate closely with analysts and engineers by leveraging modern orchestration and ETL tools like Airflow and Databricks
- Optimize complex SQL queries to maximize system performance and manage the underlying cloud infrastructure effectively
- Explore and evaluate new technologies with AI tools to continuously improve upon existing Data Warehouse processes
- Strong skills in designing, optimizing, and modernizing data architectures within an Enterprise Data Management Environment
- Competency in building scalable ETL processes, data ingestion systems, and streaming applications via AWS, Snowflake, and Redshift
- Advanced proficiency in SQL optimization, Python automation, and Linux/Unix shell scripting for robust data pipeline maintenance
- AI Literacy and AI Application skills to proactively evaluate and integrate emerging AI tools into existing warehouse workflows
- Critical thinking and collaborative problem-solving abilities to resolve complex IT issues and deliver sound data insights across cross-functional teams
Additional Qualifications:
- Experience working within Agile teams to deliver rapid, high-quality data solutions
- Possession of a Master’s degree in Data Science, Computer Science, or a closely related quantitative field
Candidates must be willing to participate in at least one in-person interview.
Minimum Requirements:
- Minimum Education: Bachelor’s degree in Data Science, Computer Science, or a related field
- Minimum Experience: 3 years of experience in data warehouse related teams
- Required Technical Skills: Must have at least 1 year of experience with:
- SQL
- Airflow or Control-M orchestration tools
- RDBMS and modern Data Warehousing concepts
Visa sponsorship not available for this role