Senior Finance Data Analyst

Amazon Amazon · Big Tech · NSW, Australia +1 · Finance & Accounting

This role is for a Senior Finance Data Analyst who will build reporting tools and dashboards for the Amazon Retail Finance team. The role involves automation, business intelligence, and integrating with AI/ML initiatives to improve financial analysis and reporting. While the role will interact with AI/ML tools and initiatives, its core function is data analysis and reporting within finance, not the direct development or research of AI models.

What you'd actually do

  1. Design and implement reporting automation pipelines that establish reliable, scalable solutions for retail finance reporting across P&L, controllership, deals management, and business commentary
  2. Drive adoption of standardized finance reporting and business intelligence tools across the retail finance function by identifying and implementing best practices from Amazon marketplaces worldwide
  3. Partner with worldwide project teams to integrate AI and machine learning tools that enhance financial analysis, forecasting accuracy, and decision-making speed
  4. Own data governance practices and maintain data quality standards for AU Retail Finance profitability reporting, conducting comprehensive analysis of reporting systems to identify gaps and improvement opportunities
  5. Develop analytical tools, dashboards, and processes that provide actionable insights on pricing, promotions, inventory, and vendor performance to support commercial decision-making

Skills

Required

  • 5+ years of experience in finance, business intelligence, or data analytics roles
  • Advanced SQL skills for data mining, transformation, and business intelligence
  • Proven experience developing and maintaining dashboards and visualizations in Tableau, PowerBI, or QuickSight
  • Demonstrated experience in creating process improvements through automation and analysis
  • Experience building financial and operational reports/data sets that inform business decision-making
  • Strong track record of identifying data quality issues, determining root causes, and implementing solutions
  • Ability to work independently on complex problems while managing multiple stakeholder priorities

Nice to have

  • MBA, CPA, or CA qualification
  • Experience with cube engine tools (e.g., TM1, Cognos, Essbase) and data warehouse concepts
  • Proficiency with Python, R, or other programming languages for data analysis and automation
  • Experience working with large-scale data mining and reporting tools (SQL, MS Access, Essbase, Cognos) and ERP systems (Oracle, SAP, JD Edwards)
  • Knowledge of AWS data services (Redshift, S3, Glue, Lambda) and cloud-based analytics platforms
  • Experience leading cross-functional projects involving finance, IT, and business stakeholders
  • Familiarity with Agile/Scrum methodologies and project management frameworks
  • Experience working in fast-paced, high-growth retail or e-commerce environments
  • 3+ years of retail, commercial, or product finance experience with exposure to P&L management, vendor negotiations, pricing, or inventory management

What the JD emphasized

  • building better reporting tools and dashboards
  • building the data and reporting foundation
  • transitioning our finance reporting to best in class through automation, centralized reporting, and integration with worldwide AI and automation initiatives
  • strong business intelligence and data engineering capabilities
  • work independently on complex problems
  • Advanced SQL skills for data mining, transformation, and business intelligence
  • Proven experience developing and maintaining dashboards and visualizations
  • creating process improvements through automation and analysis
  • building financial and operational reports/data sets
  • Strong track record of identifying data quality issues, determining root causes, and implementing solutions
  • Ability to work independently on complex problems while managing multiple stakeholder priorities