Financial Analyst II — Profitability Modeling & Forecasting

EchoStar

Englewood (CO)

On-site

USD 63,000 - 93,000

Full time

3 days ago
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Benefits offered by this job

Health perks
401(k) with match
ESPP
Career opportunities
Flexible time away

Job summary

EchoStar is seeking a finance professional in Colorado to manage subscriber profitability models, forecast revenues and costs, and assess offers for financial risk. You’ll support due diligence for potential M&A activity and present insights to senior leadership.

The role emphasizes advanced analytics, AI-driven automation, and strategic financial planning. Minimum 2–4 years in corporate finance or related fields, a finance degree (MBA optional), and strong Excel/PBI/Tableau skills.

Qualifications

  • Bachelor’s degree in Finance, Corporate Finance, Business Administration, Economics, or related quantitative field.
  • 2–4 years of corporate finance, investment banking, or financial consulting experience.
  • At least 2 years of experience with Excel and financial modeling methodologies.
  • Experience with PowerBI, Tableau, Python, Snowflake, or Databricks.

Responsibilities

  • Refine subscriber profitability models to protect margins.
  • Support forecasting and ad hoc analyses to improve performance.
  • Evaluate profitability of subscriber offers and risks with cross-functional teams.
  • Assist M&A due diligence with forward-looking financial models.
  • Create high-impact financial presentations for upper management.
  • Leverage AI tools to automate data collection and modeling.

Skills

Advanced financial modeling
Executive communication
Structured problem solving
AI application

Education

Bachelor's degree in Finance or related
MBA or MS in Finance

Tools

Excel
PowerBI
Tableau
Python
Snowflake
Databricks

Job description

EchoStar is seeking a finance professional in Colorado to manage subscriber profitability models, forecast revenues and costs, and assess offers for financial risk. You’ll support due diligence for potential M&A activity and present insights to senior leadership.

The role emphasizes advanced analytics, AI-driven automation, and strategic financial planning. Minimum 2–4 years in corporate finance or related fields, a finance degree (MBA optional), and strong Excel/PBI/Tableau skills.

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