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Financial Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Financial Data Analyst with a contract length of "unknown" and a pay rate of "unknown." Required skills include a Bachelor's degree in Business, Finance, or Accounting, 2+ years of financial analysis experience, and advanced Excel skills. Experience with SaaS models and SQL is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
240
🗓️ - Date discovered
April 5, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Raleigh, NC
🧠 - Skills detailed
#Data Analysis #SaaS (Software as a Service) #SQL (Structured Query Language) #VBA (Visual Basic for Applications)
Role description
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Must Haves:

  • Bachelor degree in Business, Finance or Accounting

  • 2+ years of experience as a financial analyst dealing with commercial/customer contract terms

  • Advanced Excel skills

  • Experience working with cross functional teams and leading discussions around financial analyses

Nice to Have Skills & Experience

  • Understanding of SaaS business model and subscription/recurring revenue.

  • VBA, Access and SQL experience

  • Prior Cisco experience

Job Description

Insight Global's client is searching for a mid-level Financial Analyst to join their team. In this role, you'll support software non-standard deals financial processes for large/complex customer opportunities. On a day-to-day basis you will engage with sales teams, Commercial Finance analysts and managers and Business Entity Finance.

   • Work with sales/deal teams, Commercial Finance team and Business Entity Finance teams to assess deal requests, including impact on discounting, recurring revenue and margins.

   • Establish and maintain reporting processes to speed up approval cycle time and manage pricing controls to maximize revenue and minimize churn.

   • Utilize internal software systems and reporting tools to analyze customer data trends to understand business performance and predict future outcomes/forecasts.

   • Track and report status of critical top deals including deal type, pipeline status, expected close date, financial size, etc.