GAR SME, Global AR Finance Operations
Amazon
Description
This role is a combination of 2 specific elements - 1) Billing Operations Management (BOM) automation projects critical for Ads, Devices and Emerging and Digital channels. The analyst would also manage Amazon connect program expansion with GAR training, CX and Ops and working with tech teams on enhancements.
1. This resource would be working closely with partner teams in SC's including Billing, ORT and other relevant teams to simplify the onboarding of any new sub-optimal launch. The resource will be expected to run 2-3 projects per quarter.
Connect and CX Scope -
1. Collaborating with AR Ops teams across multiple time-zones to collect feedback on CX related issues/ tech projects/ enhancements.
2. Working closely with Product & Tech POCs to drive related Tech projects.
3. Ongoing Audit of Connect metrics and across channels
4. Work closely with the SC teams to collate and review the SLAs for different processes and work backwards from a customer expectation on best-in-class service. This will include identifying tasks/ activities/ process steps that contribute to a longer SLA and eliminating/ combining/ automating these.
Basic Qualifications
- 6+ 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 accounting, information systems, finance, or equivalent, or Bachelor's degree and 5+ years of Accounts Receivable (AR) experience
Preferred Qualifications
- 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- MBA, or CPA
- Knowledge of Tableau
- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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