Amazon

Senior Financial Analyst, APAC Production Finance

Job Description

Prime Video seeks an enthusiastic finance professional to partner closely with finance and business groups to help the company manage its financial and operational plans for the video businesses. This is an exciting opportunity for an entrepreneurial minded candidate who wants to work in a start-up like environment and is passionate about digital media and new customer experiences. Individuals in this role will ensure that excellent service is provided to all internal customers, develop and improve more effective internal systems, work within established financial and technical systems used by the company, and ensure that timeliness, accuracy and attention to detail are good in all aspects of day-to-day functions.

Key job responsibilities
○ Update and optimize various production finance related management reports across APAC
○ Own the data ingestion processes for production budgets and latest estimates across APAC
○ Facilitate the resolution of Accounts Payable / Accounts Receivable exceptions for India
○ Conducting ad hoc analysis on production budgets for India
○ Building out and maintaining a production budget and rate benchmarking tool across APAC
○ Performing periodic audits to maintain effective controllership on production finance deliverables for India

- 3+ years of tax, finance or a related analytical field experience
- 4+ years of Accounts Receivable or Account Payable experience
- 4+ years of applying key financial performance indicators (KPIs) to analyses experience
- 4+ years of creating process improvements with automation and analysis experience
- 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience
- Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience
- Six Sigma Black Belt
- Experience with advanced use of SQL for data mining and business intelligence
- Experience as a lean sensei, or experience working as a Quality Assurance Engineer


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