Business Intelligence Engineer, Bizops Latam – São Paulo

Amazon está com vaga(s) de emprego para Business Intelligence Engineer, Bizops Latam – São Paulo em São Paulo

 

Cargo:

Business Intelligence Engineer, BizOps LATAM – São Paulo

Requisitos:

Business Intelligence Engineer, BizOps LATAM

The Amazon LATAM Carpool BizOps team is looking for a talented, smart, and experienced Business Intelligence Engineer to help us build exceptional tools to generate insights and drive business decisions in the LATAM Retail space.

Joining our team means partnering with a dynamic and creative group who set a high bar for innovation and success in a fast-paced and changing environment. We are hiring a Business Intelligence Engineer to own a business Chapter which is an exciting opportunity to be involved from design-to-execution. As a Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. In this role, you will primarily work on designing and building automated reporting and dashboards using complex data. As a BI Engineer, you will operate as a mix of hands-on builder and influencer.

The team’s success depends on our ability to create actionable insight from the data that we and our partners generate. The ideal BIE candidate will have excellent analytical abilities, business acumen, high judgment, strong technical skills, and good written and verbal communication skills. This person will be a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in data, be comfortable dealing with large and complex data sets, while applying analytical rigor to solve business problems.

At Amazon Brazil we value Diversity, Equity and Inclusion (DEI) in all our job positions, therefore, we act intentionally so that our internal environment reflects the plurality of the businesses we play and the customers we serve.

About the team
Inclusive team culture

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.

Work Life Balance

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.

Mentorship & Career Growth

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.

BASIC QUALIFICATIONS

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
- Experience in Statistical Analysis packages such as R, SAS, and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Demonstrated advanced proficiency in English, both written and verbal

PREFERRED QUALIFICATIONS

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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 for more information.

Posted: December 27, 2024 (Updated 1 day ago)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Salário:

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