Custom Billing Analyst, Enterprise Support Team
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Custom Billing Solutions (CBS) is looking for a Custom Billing Analyst to support monthly operations of pricing and billing programs. The team member will partner with stakeholders to ensure participating customers realize intended benefits. An effective candidate will be a creative problem solver, committed to the team, and able to work around obstacles. The analyst will support customer inquiries and contribute toward immediate resolution as well as longer-term solutions. This team member will have an opportunity to innovate through process improvement and participate in cross-functional team initiatives.
- Work with AWS customers to address billing issues and gather valuable feedback
- Support monthly billing processes between multiple external and internal AWS teams by auditing billing data, providing data management, and pricing calculations
- Proactively identify and implement operational improvements, enhancements, and system customizations that meet business requirements
- Actively seek solutions to business/customer needs and suggest innovative solutions on behalf of the customer experience
- Support recurring and ad hoc reporting for various internal/external stakeholders
- 2+ years of relevant professional experience - Skills in Excel
- Verbal/written communication and presentation skills, including an ability to effectively communicate with both business and technical teams
- Bachelor’s degree required, preferably in business, accounting, or a related field
- Accounting experience with accruals and receivables
- Experience with financial contracts and comfortable with contractual language
- Strong attention to detail and excellent problem solving skills
- Ability to communicate effectively across all functions and levels of the organization
- Track record for being detail-oriented with a demonstrated ability to self-motivate and follow-through on projects
- Strong quantitative, analytical and organizational skills
- Highly organized, have multi-tasking skills, and efficient in ambiguous situations
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