Senior Financial Analyst - AI-Driven Finance & Forecasting

Dish Network Corporation; Englewood, Northern (CO, KY); Hybrid; USD 72,000 - 103,000; Full time

Benefits offered by this job

Health benefits

HSA

401(k) with company match

ESPP

Job summary

EchoStar invites applications for a Finance role within our Financial Controls Group in Colorado. You will drive spend analysis, month-end processes, and accrual management while integrating AI and automation into core financial operations.

The position emphasizes accurate reporting and scalable financial tracking infrastructure. You will partner with Marketing Tactic Owners and Finance peers to deliver ad hoc analyses, ensure cost accuracy, and maintain data integrity across spend forecasts and

Qualifications

• Bachelor's Degree in Accounting, Finance, or related field.
• 3–4 years of experience in accounting, financial analysis, or financial operations.
• Experience with AI/automation tools to optimize financial workflows.

Responsibilities

• Participate in month-end close processes and variance reporting.
• Implement AI and automation to enhance financial reporting and analytics.
• Oversee spend tracking, accruals, and compliance across marketing tactics.
• Maintain Google Drive financial tracking and complex Excel models.
• Perform vendor billing reviews and cross-functional analysis with Marketing and Finance.

Skills

GAAP analysis

AI automation

Excel data modeling

ERP: Oracle/PeopleSoft

Data analysis

Education

Bachelor's degree in Accounting/Finance

Tools

Oracle

PeopleSoft

Python

Databricks

AWS Bedrock

Job description

EchoStar invites applications for a Finance role within our Financial Controls Group in Colorado. You will drive spend analysis, month-end processes, and accrual management while integrating AI and automation into core financial operations.

The position emphasizes accurate reporting and scalable financial tracking infrastructure. You will partner with Marketing Tactic Owners and Finance peers to deliver ad hoc analyses, ensure cost accuracy, and maintain data integrity across spend forecasts and