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Amazon
Amazon seeks a FinOps Specialist to join the AWS Finance Automation Reporting Management team (AFARM) based out of Hyderabad, India. A key responsibility for this role will be working with server and networking rack manufacturers on monthly and daily global costing tasks. This involves detailed analysis, working closely with rack manufacturers, coordinating with internal teams, creating and maintaining key metrics and reports, and supporting processes for various AWS Finance teams.
Key job responsibilities
1. Managing daily requests and monthly activities of the rack costing process within defined timelines.
2. Identifying costing errors/defects and resolving them timely.
3. Responding to internal and external stakeholder queries related to rack costing.
4. Actioning and resolving day-to-day complex trouble tickets within 24 hours.
5. Proactively identifying areas for process improvement and automation, including issue identification, solution definition, and documentation.
6. Provide data-driven analytics and support to business partners in identifying and resolving issues
7. Partner with stakeholders to drive critical projects and technology integration for your process areas
8. Drive a rigorous and proactive cadence of communications, keeping stakeholders informed on current statuses and engaged in key decisions.
9. Contribute towards preparation of monthly and quarterly business reviews on the program’s performance.
10. Collaborate with cross-functional Finance and our technology development teams to create new business and reporting tools
- 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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