Finance Business Partner, Br Stores Finance

Amazon; São Paulo; Presencial; BRL 80.000 - 100.000; Tempo integral

Resumo da oferta

A leading technology company is seeking a detail-oriented Financial Analyst II in São Paulo, Brazil, focused on inventory management and cost efficiency. The successful candidate will use data-driven mechanisms to identify defects and enhance operational efficiency. A Bachelor's degree and 5+ years of quantitative experience are required, along with advanced SQL skills. This role offers an opportunity to make a significant impact on customer satisfaction and efficiency.

Qualificações

• 5+ years of experience in a quantitative role or 6+ years in a relevant field.
• Experience working with large-scale data mining and reporting tools.
• Participation in continuous improvement projects.

Responsabilidades

• Implement data-driven mechanisms to identify and eliminate defects.
• Analyze inventory management data for discrepancies and trends.
• Build financial models and reporting dashboards for actionable insights.

Conhecimentos

SQL

Data analysis

Process improvement

Financial metrics

Formação académica

Bachelor's degree in engineering, statistics or business

Ferramentas

SQL

Oracle

SAP

Descrição da oferta de emprego

Amazon seeks a detail-oriented Financial Analyst II to join our Stores Finance team in a new and exciting role focused on leading inventory management and cost to serve initiatives. In this position, you will be a defect hunter and eliminator, creating mechanisms to find, monitor, and eliminate defects in our cost to serve processes. You will work cross-functionally with Retail Inventory business, Operations teams, and Customer Returns departments to improve processes that directly impact customer experience.

This is an opportunity to make a significant difference in our journey to improve operational efficiency while enhancing customer satisfaction through the right selection, best speed, and defect‑free processes. You will pioneer this new role by establishing routines and mechanisms that drive measurable improvements in inventory management, fraud prevention, and cost reduction initiatives.

Key job responsibilities

• Create and implement data‑driven mechanisms to identify, monitor, and eliminate defects in cost to serve processes, working closely with Retail Inventory managers and customer experience teams
• Dive deep into inventory management data to proactively identify trends, discrepancies, and improvement opportunities
• Build and maintain financial models and reporting dashboards that provide actionable insights on fraud, abuse, and customer returns metrics
• Collaborate cross‑functionally with Operations, Customer Experience, and Retail Business teams to implement process improvements that enhance operational efficiency
• Present findings and recommendations to business leaders that influence data‑driven decision making to improve financially sustainable Customer Experience

Qualifications

• Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re‑engineering, quality assurance) experience
• Experience with advanced use of SQL for data mining and business intelligence
• Experience in tax, finance or a related analytical field
• Experience in accounts receivable or account payable
• Experience applying key financial performance indicators (KPIs) to analyses
• Experience in creating process improvements with automation and analysis
• Experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes
• Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 6+ years of quantitative role (engineering, process re‑engineering, quality assurance) experience
• Experience with advanced use of SQL for data mining and business intelligence, or experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes – 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 participating in continuous improvement projects in your team to scale and improve controllership with measurable results

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