Accountant II - Data & Automation

The General Ledger team is looking for a highly analytical individual with a strong academic background to help improve the accuracy and efficiency of the month-end close. The ideal candidate combines a solid understanding of accounting with strong technical skills, using data, automation, and AI to find opportunities to streamline manual reconciliations and recurring close tasks. This role manages daily general ledger operations, strengthens data validations and controls, and helps build real-time visibility into close status and account health. Working with FP&A, Data Engineering, IT, and business teams, this person helps evolve Boost's accounting systems, data tools, and AI capabilities as part of continuous improvement efforts.

• Manage daily general ledger operations, including preparing journal entries and reconciling accounts; ensure financial data is accurate and complete
• Play a critical role in the month-end and year-end close processes, meeting all deadlines with precision; investigate and resolve accounting discrepancies through root-cause analysis
• Find opportunities to automate manual reconciliations, journal entry support, and recurring close tasks using tools such as Databricks, Amazon Quick, Copilot, SQL, and Python
• Find and help adopt AI-driven solutions in accounting workflows, such as reconciliation matching, variance and flux commentary, anomaly detection, and documentation; help evolve accounting systems, data tools, and AI capabilities as part of Boost's continuous improvement efforts
• Use data analysis on large datasets to strengthen data validations, controls, and the accuracy of account balances; help build and maintain data workflows that give real-time visibility into close status and account health
• Work with FP&A, Data Engineering, IT, and business teams on data requirements and the upstream processes that feed the GL; turn complex data into clear, actionable insights, explain accounting concepts in terms of the underlying data, and perform financial analysis to support strategic initiatives and new products

• Solid understanding of GAAP, double-entry accounting, and the close cycle
• Advanced Excel skills
• Familiarity with AI tools such as generative AI assistants, Databricks AI features, Amazon Quick, and Copilot; interest in applying them to accounting
• Self-motivated, with creative problem-solving skills and strong attention to detail
• Excellent communication skills, with the ability to explain financial and data findings to non-financial partners
• Natural curiosity and eagerness to learn a complex, changing business; adaptable and comfortable working in a fast-paced environment

Additional Qualifications:

• Master's degree in Accounting (MAcc), Accounting Analytics, Business Analytics, or Data Science
• Working knowledge of SQL and/or Python
• Familiarity with Databricks; Snowflake, BigQuery, or a similar platform also considered
• ERP exposure such as Oracle, SAP, or NetSuite

Candidates must be willing to participate in at least one in-person interview.

Minimum Requirements:

• Minimum Education: Bachelor's degree in Accounting, Accounting Information Systems, or a quantitative field such as Data Science/Analytics, Computer Science, Statistics, Mathematics, or Economics; accounting coursework required for non-accounting degrees
• Minimum Experience: 1–3 years of experience in Accounting, including internships, co-ops, or relevant academic projects
• Required Technical Skills: Must have at least 2 years of experience with:
• GL accounting under US GAAP, including accruals, reconciliations, and month-end close
• SQL or Python to pull and reconcile GL and subledger data
• AI tools such as Copilot or Amazon Quick, used with SOX and audit trail controls in mind

Our investment in the future needs those with an eye on the bottom line, and our Financial organization plays a vital role in supporting our game-changing ideas with creative solutions to complex problems. Team members have the unique opportunity to explore diverse business lines, gaining hands-on experience in various facets of finance, including accounting, audit and supply chain management.

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.

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 leaves@dish.com 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 Recruiting@Dish.com.

Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

• Manage daily general ledger operations, including preparing journal entries and reconciling accounts; ensure financial data is accurate and complete
• Play a critical role in the month-end and year-end close processes, meeting all deadlines with precision; investigate and resolve accounting discrepancies through root-cause analysis
• Find opportunities to automate manual reconciliations, journal entry support, and recurring close tasks using tools such as Databricks, Amazon Quick, Copilot, SQL, and Python
• Find and help adopt AI-driven solutions in accounting workflows, such as reconciliation matching, variance and flux commentary, anomaly detection, and documentation; help evolve accounting systems, data tools, and AI capabilities as part of Boost's continuous improvement efforts
• Use data analysis on large datasets to strengthen data validations, controls, and the accuracy of account balances; help build and maintain data workflows that give real-time visibility into close status and account health
• Work with FP&A, Data Engineering, IT, and business teams on data requirements and the upstream processes that feed the GL; turn complex data into clear, actionable insights, explain accounting concepts in terms of the underlying data, and perform financial analysis to support strategic initiatives and new products

• Solid understanding of GAAP, double-entry accounting, and the close cycle
• Advanced Excel skills
• Familiarity with AI tools such as generative AI assistants, Databricks AI features, Amazon Quick, and Copilot; interest in applying them to accounting
• Self-motivated, with creative problem-solving skills and strong attention to detail
• Excellent communication skills, with the ability to explain financial and data findings to non-financial partners
• Natural curiosity and eagerness to learn a complex, changing business; adaptable and comfortable working in a fast-paced environment

Additional Qualifications:

• Master's degree in Accounting (MAcc), Accounting Analytics, Business Analytics, or Data Science
• Working knowledge of SQL and/or Python
• Familiarity with Databricks; Snowflake, BigQuery, or a similar platform also considered
• ERP exposure such as Oracle, SAP, or NetSuite

Candidates must be willing to participate in at least one in-person interview.

Minimum Requirements:

• Minimum Education: Bachelor's degree in Accounting, Accounting Information Systems, or a quantitative field such as Data Science/Analytics, Computer Science, Statistics, Mathematics, or Economics; accounting coursework required for non-accounting degrees
• Minimum Experience: 1–3 years of experience in Accounting, including internships, co-ops, or relevant academic projects
• Required Technical Skills: Must have at least 2 years of experience with:
• GL accounting under US GAAP, including accruals, reconciliations, and month-end close
• SQL or Python to pull and reconcile GL and subledger data
• AI tools such as Copilot or Amazon Quick, used with SOX and audit trail controls in mind