Financial Analyst I, FinOps Lease Abstraction

Remote Full-time
Description

Subject Matter Expert (SME) – Lease Abstraction Process

The successful candidate will serve as a Subject Matter Expert (SME) responsible for driving and optimizing the lease abstraction process. This role focuses on improving efficiency through continuous improvement efforts, identifying defects, analyzing root causes, and implementing fixes to enhance process performance.

Key Responsibilities

Drive SLA Performance & Efficiency: Ensure that service level agreements (SLAs) are consistently met while maintaining high levels of efficiency and accuracy in the lease abstraction process. Proactively manage the workflow to ensure timely and accurate processing.

Root Cause Analysis & Issue Resolution: Analyze various lease types, manage inflows, and identify the root causes for any missed SLAs. Address and resolve these issues to improve overall process performance.

Internal Coordination: Collaborate with internal teams, including FOAA, Lease Administration, and Lease Technology teams, to streamline the lease abstraction process and ensure seamless execution across departments.

Stakeholder Management & RACI Definition: Work with internal stakeholders to define roles and responsibilities, creating and signing off on a RACI (Responsible, Accountable, Consulted, and Informed) matrix for clear accountability within the process.

Continuous Improvement: Lead continuous improvement initiatives, targeting projects with high customer impact and low cost to Amazon. Aim to optimize processes for greater efficiency and effectiveness.

Process Streamlining: Identify gaps and inefficiencies in the existing process and implement improvements to streamline operations, enhancing overall performance and reducing friction points.

Standardization & Documentation: Demonstrate a commitment to learning and curiosity by standardizing process documentation, ensuring clarity and consistency across teams, and fostering better understanding of the process.

Productivity Optimization: Conduct time and motion studies to evaluate productivity targets and adjust them as necessary to enhance process efficiency and performance.

Process Prioritization: Establish clear process priorities in alignment with broader organizational goals, ensuring that efforts are focused on driving value and maximizing impact for Amazon.

Risk Management & Control Enhancement: Evaluate and communicate accounts payable controllership risks within Finance Operations. Assess the adequacy of existing controls and implement new ones to mitigate identified risks.

The ideal candidate will be proactive in identifying process optimization opportunities and have a strong eye for detail. They will be able to collaborate across various teams, drive meaningful change, and focus on continuous improvements that benefit Amazon's operations and enhance customer satisfaction. Strong problem-solving, communication, and collaboration skills are essential to succeed in this role.

Basic Qualifications
• 4+ years of finance experience
• 2+ years of applying key financial performance indicators (KPIs) to analyses experience
• Knowledge of standard software including Excel, Access, Oracle, Essbase, SQL and VBA skills
• Experience using data to influence business decisions
• 4+ years of Experience in the lease abstraction process

Preferred Qualifications
• 2+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
• Experience in TM1, Data Warehouse and SQL

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.

Company - ADCI HYD 13 SEZ

Job ID: A2993821

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