Business Intelligence Engineer, BizOps LATAM
Há 7 dias
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.
In Brazil, we have a Diversity, Equity and Inclusion squad, which is formed by representatives from different roles and areas, as we understand that this agenda must have different perspectives and multiple experiences. Our leadership is committed and understands more and more their role in sharing and acting on our leadership principles, with the purpose of ‘Strive to Be Earth's Best Employer’. Understanding our responsibility and our need for change, we are conscientious that ‘Success and Scale Bring Broad Responsibility’ Our affinity groups are built from and by volunteers from different businesses and they are an active part of our DE&I strategies definition. Besides that, they act as ambassadors of this agenda, and they will support you from Day1. Remember, at Amazon ‘It’s always Day1’. Our groups are organized in the following fronts: BEN - Black Employee Network, , Glamazon (LGBTQIA+) and People With Disabilities.
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.
- 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.
- 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.
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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