Financial Analyst 3
Adobe · Noida, India · Finance and Operations
About this role
Adobe is hiring a mid-level Financial Analyst in the finance function based in Noida, India. The posting calls out experience with Express, Tableau, Power BI and roughly 10+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.
- Role
- Financial Analyst
- Function
- finance
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Noida, India
- Experience
- 10+ years
- Education
- Bachelor's degree
- Department
- Finance and Operations
- Posted
- May 17, 2026
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Job description
from Adobe careersP30
Job Description Summary
Develops, interprets and implements financial concepts for financial planning and control. Performs technical analysis to determine present and future financial performance. Gather, analyze, prepare and summarizes recommendations for financial plans, acquisition activity, trended future requirements and operating forecasts.
Job Description
Position Summary:
This is an exciting opportunity to join the India Shared Services Finance team as we continue to shift to drive the business through data-driven forecasts and providing influential insights. This Senior Financial Analyst position will support Mfg. COGs, Localization Mktg and headcount and expense planning. In this role, you will be responsible for a wide range of projects in support of key business decisions and fiscal deliverable. You will develop and maintain frameworks for quarterly & annual budgets, drive consolidation of in-quarter outlook forecast, analyze and report on financial data,
Responsibilities include:
- Preparing annual/quarterly budgets and weekly/monthly forecasts for Mfg. COGs, ensuring a high level of accuracy, analyzing units / cost of sales trend, E&O inventory analysis, accruals/allocations of direct costs (Mfg.COGs), GL recon, monthly/quarterly reporting.
- Prepare reporting for annual/quarterly budgets and weekly/monthly forecasts, ensuring a high level of headcount and expense predictability for the identified organization, review for completeness and summarize key variances