Financial Analyst, FP&A (Degrees )
Compensation: (310,000 a month, paid in INR)
Location: Remote India (Must be able to attend 3-4 meetings a week PST/US time zone)
Employment Type: 6-Month Contract (Strong Potential for Extension)
***Please only apply if you have the experience in the below:
- 48 years of experience in FP&A and/or financial analyst
- Experience working in a global and/or SaaS environment
- Must have strong experience with both revenue reporting and financial variance analysis
- Must have experience with Revenue forecasting and revenue modeling
- Experience working with large datasets in Excel and financial planning systems
About the Company
Founded in 2012 by two Stanford professors, our client's mission is to provide anyone, anywhere access to world-class learning. Today, the company is a leading global online learning platform serving millions of learners and thousands of institutions worldwide.
About the Role
We are seeking a Senior Financial Analyst, FP&A to support the Degrees business. This contractor will partner closely with the FP&A team to drive revenue forecasting, revenue modeling, and financial variance analysis for a complex and growing global business.
This role is highly analytical and process-driven. The ideal candidate is comfortable navigating ambiguity and evolving business processes, working with large datasets, and reconciling reported results back to forecast expectations. The analyst will regularly interpret revenue reports received from university partners and translate data insights into clear financial implications.
This is a hands-on role focused heavily on data structuring, revenue analysis, forecasting support, and process improvement, particularly around financial close and reporting automation.
Key Responsibilities
- Analyze and interpret detailed revenue reports from university partners supporting the Degrees business
- Perform revenue forecasting, financial modeling, and variance analysis
- Reconcile actual results to forecast and identify key drivers of revenue fluctuations
- Work extensively with large datasets in Excel and IBM Planning Analytics
- Structure, clean, and prepare financial data to improve reporting accuracy and scalability
- Support financial close processes and improve reporting cadence and controls
- Enhance data organization to reduce manual reconciliations and increase automation
- Partner with a small group of Finance stakeholders and cross-functional teams to clarify reporting questions and revenue drivers
- Contribute to continuous improvement of financial processes in a fast-evolving business environment
Must-Have Qualifications (Top Priorities)
- Bachelor's degree in Finance, Accounting, Economics, or related field
- 48 years of experience in FP&A and/or Financial Analyst
- Experience working in a global and/or SaaS environment
- Must have strong experience with both revenue reporting and financial variance analysis
- Must have experience with Revenue forecasting and revenue modeling
- Experience working with large datasets in Excel and financial planning systems
- Experience with at least one financial planning system such as: IBM Planning Analytics (highly preferred, current system) OR Anaplan, Oracle Essbase, Adaptive Planning, Host Analytics or similar
- Must be very process oriented ; experience to support automated financial close processes and data structuring
- Experience with financial close processes and process improvement initiatives
- Requires being highly analytical and curious
- Experience preparing data for automation and downstream reporting systems
- Familiarity with G Suite
- Advanced Excel proficiency (modeling, data structuring, analysis)
- Experience navigating ambiguity
- Strong analytical mindset with ability to interpret complex revenue data
- Bonus: Experience education-based business models
Work Schedule & Collaboration Expectations
- Standard India business hours (MondayFriday)
- Must be able to overlap with Pacific Standard Time for recurring meetings (details to be provided)
- Flexibility required during monthly close periods
