Finance Operations Business Partner (m/f/d), FinOps BP
Amazon München
The Finance Operations Business Partnering (BP) team is seeking a Finance Manager (m/f/d) who will be a key member of the worldwide Retail BP team. This individual will be located in Munich and the primary business support function to manage finance operations order-to-cash (O2C) processes.
Our team is focused on reducing and eliminating defects within the O2C process which impact customers and vendors. We advocate for global improvements through technology and partnering with various teams to define, design, and prioritize those enhancements in the ordering, fulfillment, billing collection and dispute resolution processes with vendors.
Our team is focused on reducing and eliminating defects within the O2C process which impact customers and vendors. We advocate for global improvements through technology and partnering with various teams to define, design, and prioritize those enhancements in the ordering, fulfillment, billing collection and dispute resolution processes with vendors.
This position requires the candidate to diagnose current Amazon processes and metrics, identify opportunities, work with business partners to identify tools/systems improvement opportunity, and validate the improvement effort.
Key job responsibilities
You will be a key player of a team comprised of high performing operations excellence and finance professionals to drive upstream systems and process initiatives which improve the quality and accuracy of data to bill our vendors. We are looking for an experienced Finance/Program Manager to partner with our upstream business and technical teams to:- Drive program objectives – provide program management to define project plans, manage implementation activities, and develop processes, documentation and communications for program/process rollout and ongoing support.
- Scale services and tools – design processes and procedures that scale with the business’ growth in volume, complexity, and global geographic dispersion.
- Define key performance indicators – develop metrics and service level agreements for core programs and processes, and track delivery against program objectives.
- Collaborate and build relationships with system and business owners globally to ensure process excellence and the highest degree of controllership.
- Negotiate efficient and reliable processes and policies across partner teams to systematically eliminate dependencies and defects.
- Work cross-organizationally and functionally to identify key opportunities in process, technical, and human interfaces and developing and implementing plans to capitalize on those opportunities and measure and monitor success and impacts.- Bachelor's degree in engineering, statistics or business, or a Bachelor's degree and experience in quantitative role (engineering, process re-engineering, quality assurance)
- Experience in tax, finance or a related analytical field
- Experience in multiple finance and accounting roles
- Experience in accounts receivable or account payable
- Experience applying key financial performance indicators (KPIs) to analyses
- Experience in building financial and operational reports/data sets that inform business decision-making
- Experience in creating process improvements with automation and analysis
- Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results- MBA, or CPA
- Knowledge of SQL/ETL
- Experience in identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan
- Experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits)
- 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)
- Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results
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