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Finance Business Partner Latam
Amazon
São Paulo
Presencial
BRL 120.000 - 160.000
Tempo integral
Há 30+ dias

Resumo da oferta

A global e-commerce leader in São Paulo is looking for a Financial Analyst to provide analytical support and improve financial processes. Candidates should have a Bachelor's degree and experience with SQL and Tableau. Join a culture of inclusion that values diverse perspectives and offers flexible working hours.

Serviços

Flexible working hours
Opportunities for personal growth
Supportive team environment

Qualificações

  • Bachelors' degree in engineering, statistics or business essential.
  • Experience in financial or related analytical field required.
  • Advanced use of SQL for data mining needed.

Responsabilidades

  • Financial modeling and analytical support for Operating Expenses.
  • Maintain data integrity and high financial controls.
  • Drive implementation of best practices globally.

Conhecimentos

Financial modeling
Analytical support
Data integrity
SQL
Process improvements
Tableau

Formação académica

Bachelor's degree in engineering, statistics or business

Ferramentas

SQL
Tableau
Oracle
SAP
MS Access
Essbase
Descrição da oferta de emprego
Overview

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online in LatAm, this is your chance to make history.

Finance is all about the numbers…unless you work at Amazon; it’s knowing the numbers and so much more. Enthusiasm and energy help us deliver new ideas, and solutions. Do you view problems as treasures, and are you willing to dive deep to develop those solutions and deliver results? Will you seek to challenge the status quo, and accept that your ideas and mechanisms may be tested daily?

At Amazon, we move with purpose and speed, and this requires we work with a dynamic network of Retail, Operations, Marketing and Tech partners. Our analysts work across teams, help others understand financial decisions and are trusted business advisors. They employ every facet of data and communication to ensure our partners and our leaders have the most up to date and reliable information to help them make the best possible decision. Come teach us a few things, and we’ll teach you a few things as we navigate Earth's most customer-centric company!

Responsibilities
  • Financial modeling, providing analytical support, and validating financial and operational results of Operating Expenses and Sales productivity.
  • Ensure a high level of financial controls are followed, maintaining data integrity.
  • Support on forecasting and P&L reviews
  • Controllership of Marketplace International Sales for Latam, understanding actuals, challenging variances and tracking action plans to bring financial results back to plan when necessary and possible
  • Drive the decisions on Operating Expenses and Sales productivity, driving efficiencies together with an aligned business growth strategy
  • Drive the implementation and best use of global best practices
  • Orchestrate the whole planning process, from aligning assumptions and providing analysis to system load and data integrity checks
  • Provide accurate and insightful financial reports
  • Find opportunities to use global standards and transfer repetitive tasks to global teams
  • Develop financial skills across the organization
  • Build great talent inside and outside Finance
About the team

At Amazon we embrace our differences and we are committed to furthering our culture of inclusion. We host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional.

Qualifications:

  • Bachelor's degree in engineering, statistics or business, or Bachelor's degree
  • 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 applying key financial performance indicators (KPIs) to analyse 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
  • 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)
  • Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.

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