Business Analyst, Customer Solutions Manager

4 semanas atrás

São Paulo, São Paulo, Brasil Amazon AWS Services Brazil Ltd Tempo inteiro
Bachelor's degree in Business, Economics, Finance, Engineering, Statistics, Computer Science, Mathematics or related field, or equivalent experience. - 6+ years of experience in a business analyst/data analyst/statistical analyst role. - Experience using relational databases (e.g. Redshift) and SQL for querying and extracting data. - Experience using data visualization platforms (e.g. QuickSight, Tableau, PowerBI) for effective data presentation. - Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses. - Experience conducting deep dive analyses of business problems; identifying root cause of business trends, formulating conclusions and recommendations. Experience in determining optimized plan of action to deliver comprehensive BI solutions: identify and implement solutions to automate and streamline processes and analysis; producing written recommendations and insights for key stakeholders to help them make decisions. - Fluent English communication, written and verbal. - Good presentation skills, including an ability to effectively communicate with both business and technical teams.
- Master's degree or higher in Statistics, Data Science, or an equivalent quantitative field
- 8+ years of experience in a business analyst/data analyst/statistical analyst role.
- Expert-level skills in writing and optimizing SQL to handle large datasets.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Great organizational skills and attention to detail; able to juggle and prioritize multiple tasks simultaneously.
- Strong interpersonal skills and the ability to communicate complex technology solutions to senior leadership, gain alignment, and drive progress.
- Advanced ability to draw insights from analysis, frame recommendations supported by data, and clearly communicate them to stakeholders and senior management.
- Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.

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