Senior Financial Analyst, AWS Applied AI Solutions

Key job responsibilities

• Manage end-to-end headcount and OPEX planning, forecasting, and reporting, collaborating with cross-functional teams to drive operational and financial efficiency.
• Support weekly business reviews, monthly financial reporting, and goals management, providing actionable insights through analysis and financial modeling.
• Persist with stakeholders to develop long-term operating plans, optimize cost management, and enhance finance processes through automation, standardization, and simplification.
• Identify data gaps, resolve discrepancies, and implement scalable solutions to improve data accuracy and support strategic decision-making.
• Collaborate with business leaders across functions and regions, delivering insights that drive operational and financial performance.

Basic Qualifications

• 3+ years of tax, finance or a related analytical field experience
• 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience
• 3+ years of dissecting financial data and identifying patterns that support business strategy experience
• 3+ years of contributing to cross-functional initiatives that drive financial performance and strategy experience
• Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or Bachelor's degree and 3+ years of quantitative role (engineering, process re-engineering, quality assurance) experience

Preferred Qualifications

• 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 large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
• 4+ years of applying key financial performance indicators (KPIs) to analyses experience
• Six Sigma Black Belt certification
• Experience with advanced use of SQL for data mining and business intelligence
• Experience working as a Quality Assurance Engineer, or experience as a lean sensei