The Financial Analyst(FA) will be part of GFS team supporting FinOps AP teams across the globe. We have about 44 processes with 60 different work drivers for AP Ops teams across various Amazon business channels. We plan to have end to end forecasting models for these processes fully automated in Anaplan. This analyst will primarily own detailed analysis of forecasting models for each business and provide visibility into work driver forecasts Average Handling Time (AHT) trends and Headcount (HC) requirements for Ops leaders to make timely data driven decisions. He/She will be working with global Finops finance partners and Service Center (SC) finance teams to highlight the risk and opportunities identified through the models.
This FA will need to track various efficiency projects and understand the detailed assumptions/calculations that project owners have taken for ROI and connect them back to the work drivers we track and forecast in process models. He/She will drive improvement in the quality of monthly HC validation and manual work driver updates by providing more 1 on 1 outreach to SPOCs from Ops team. This FA will also support designing and developing new forecasting models for processes that do not have end to end process models yet.
Key job responsibilities
Drive monthly review and governance of quality of data for the process models.
Coordinate with AP Ops teams to review HC allocations and work driver forecast assumptions like inflows healthy backlogs overtime productivity based on past trend and standard calculation for HC requirements and CPT etc. for each process models.
Identify opportunities to improve efficiency through AHT tracking and highlight them to business and service center leadership
Leverage the work driver/HC data in Anaplan to support validation the ROI/savings assumptions for new investments and ACES projects. Update the impact of these projects in bottomup forecast assumptions and track variance once the project is delivered.
Drive modeling of new process models and partner with WCP Anaplan Build team to automate the model.
Provide business requirement documents to FinAuto team to automate work driver data pipelines.
Partner with GDA in identifying data source for work drivers.
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
Bachelors degree in engineering statistics or business or Bachelors degree and 5 years of quantitative role (engineering process reengineering 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
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 largescale data mining and reporting tools (examples: SQL MS Access Essbase Cognos) and other financial systems (examples: Oracle SAP Lawson JD Edwards)
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