Regional OE Manager
Amazon
San Jose , H, CR
hace 6 días

JOB DESCRIPTION

This position is for Payroll Operational Excellence & Reporting Manager.

The Global Payroll Operational Excellence team is seeking a highly skilled and motivated analyst to pull and analyze data with ease, drive process improvements, standardize our processes and eliminate the root cause of defects within the current metric reporting systems.

This is an exciting opportunity to join a stable team in a huge growth area for Amazon.

An ideal candidate has a background in excellent data dive deep, analytical and problem-solving skills, including the ability to dis-aggregate issues, identify root causes and recommend solutions.

This job will require exceptional communication and interpersonal skills while having the ability to work independently in a high-pressure environment and exercise sound judgment based on artifacts and data.

The successful candidate will be proficient at identifying / solving or escalating data inconsistency challenges, possess a bias to get things done and deliver results while functioning as part of a team.

An added expertise on Lean Six Sigma principles to drive process and system improvements will be an advantage. We are a fun loving and diverse team with members in several different countries.

We will support local & global projects, processes, systems, and teams.

Key Responsibilities :

  • Construct traditional reporting solutions by designing report templates and publish those as required by Payroll Leadership team, to be included in Monthly, Quarterly and Annual reports.
  • Create new and revise existing dashboards as needed by using Power-Bi or other technology platforms
  • Collaborate with payroll operations, payroll upstream teams and technology teams on joint initiatives and reports
  • Build a strong understanding of the backend data sources for Pay defects metric reporting tables, etc.
  • Work within various time constraints to meet critical business needs, deep dive large datasets to uncover trends and identify root causes for performance misses, while ensuring accuracy of data reported out.
  • Work with all stakeholders to ensure accurate and timely reporting of critical metrics
  • Communicate with Stakeholders, in a manner that enables them to have a common understanding of the projects / metrics status, risks, and decision points of system or process changes
  • Lead Lean Six Sigma Yellow / Green Belt projects for metrics improvement through DMAIC approach
  • Represent Finance Payroll OE in local and global meetings / conference calls
  • Act as a project manager for small and medium size projects by directing, supporting and coaching project(s) team members and stakeholders and reporting on the project progress and status
  • BASIC QUALIFICATIONS

  • Bachelor’s or equivalent degree in Engineering, Statistics or Business Analytics (preferably in quantitative field).
  • Excellent interpersonal skills with the ability to communicate and influence at all levels in a matrix organization
  • Proficient in English - verbal, visual, written and listening
  • Proficiency in using MS-Excel, including advanced functions such as importing & exporting data, pivot tables, and macros
  • Demonstrated ability to think strategically and creatively while applying sound business judgment and quantitative analytics using Big Data
  • Minimum 2+ years of Lean Six Sigma project management techniques
  • Certified Lean Six Sigma Green Belt - Proficient in lean six sigma tools, such statistics, SPC, hypothesis testing, regression, forecasting, etc.
  • Proficient in obtaining, organizing, and analyzing data to make fact-based decisions and drive RCA
  • Demonstrated Project Management experience, including managing a project portfolio, driving a timeline to completion, following-up, organizing multiple action plans within multiple stakeholders
  • PREFERRED QUALIFICATIONS

  • Overall 8+ years of experience
  • 2-3 years of experience in managing and publishing dashboards
  • Ability to handle confidential information appropriately
  • Certified Lean Six Sigma Black Belt
  • Advanced degree in Engineering, Statistics, Economics, MS or MBA
  • Process, manufacturing, or engineering background with an ability to understand process workflow and throughput through the operation
  • Knowledge of SQL, Power-Bi, Tableau and Python
  • Demonstrated experience pulling and analyzing data to aid root cause identification and process improvement initiatives across the network
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