Amazon Servicos de Varejo do Brasil Ltda.

Business Intelligence, Business Intel Engineer, no business category

BusinessIntelligenceEngineer

$140–210k ~AI est. Sao Paulo, Sao Paulo, Brazil FULL TIME
The Brief

“Business Intelligence Engineer at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Business Intelligence, Data Engineering, Analytics. Lead medium to large-scale projects. Own multiple domains within the team”

Industry & Context.

Business Intelligence, Business Intel Engineer, no business category
Problems you'll solve

Problem solving

What They're Looking For.

Must Have

Experience with data visualization using Tableau, Quicksight, or similar tools, Experience with one or more industry analytics visualization tools (e. g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e. g. t-test, Chi-squared), Experience with scripting language (e. g. , Python, Java, or R), Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc., Speak, write, and read fluently in English

Nice to Have

Master's degree, or Advanced technical degree, Knowledge of data modeling and data pipeline design, Experience with statistical analysis, co-relation analysis

What You'll Do.

Lead medium to large-scale projects

Own multiple domains within the team

Contribute to the analytics roadmap

Transform manual processes into automated

and operational excellence

Earn the trust of customers and stakeholders

Obsess over business use cases and data needs

Solve problems by leveraging technology

Work closely with business stakeholders and leadership team

Review roadmap and contributing to business strategy

Manage and execute entire projects from start to

Manage stakeholder management

Gather and manipulate data

Communicate insights and recommendations

and load data from many data

Design automated reporting

Build automated reporting

Maintain automated reporting

Design ongoing analysis

Build ongoing analysis

Maintain ongoing analysis

Report key insight trends using statistical rigor

Simplify and inform the larger team of noteworthy

Retrieve and analyze data using Amazon’s data technologies

and which data technologies to

How You'll Work.

Team & Collaboration

Cross-functional teams; Partner teams; Engineering teams; Product managers; Program managers; Org leaders; Global community

Communication Scope

Communication of insights; Communication of recommendations

Process & Methodology

Roadmap planning

Free ATS check

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