AWS QuickSight Data Analyst | Mid/Senior

Compass.uol; Brasil; Teletrabalho; BRL 40.000 - 70.000; Tempo integral

Resumo da oferta

An innovative firm is seeking a skilled AWS QuickSight Data Analyst to join their dynamic team. This role involves creating datasets, modernizing reports, and implementing calculations to enhance data insights. Ideal candidates will have a strong background in data analysis, SQL, and Python, along with excellent communication skills. This position offers a unique opportunity to work in a collaborative environment, where your contributions will directly impact the company's growth and success. If you're passionate about data and eager to learn, this is the perfect chance to advance your career in a supportive setting.

Qualificações

• Essential experience with data analysis and strong knowledge of Amazon QuickSight.
• Proficiency in SQL and data query languages is crucial.

Responsabilidades

• Creation of datasets in Amazon QuickSight and migration of reports from Looker.
• Conducting unit tests and performance optimization for better insights.

Conhecimentos

Data Analysis

Amazon QuickSight

SQL

Python

Data Modeling

Communication Skills

Descrição da oferta de emprego

AWS QuickSight Data Analyst | Mid/Senior

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Job Details

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Additional Information

#remote

Responsibilities and Duties

• Creation of datasets in Amazon QuickSight;
• Migration and modernization of reports from Looker and Looker Studio;
• Implementation of calculations, metrics, and filters similar to those in Looker;
• Building analyses that replicate or modernize the current layout;
• Conducting unit tests and performance optimization;
• Staying updated with AWS best practices and industry trends to identify continuous improvement opportunities.

Requirements and Qualifications

• Essential experience with data analysis and strong knowledge of Amazon QuickSight;
• Proficiency in SQL and data query languages;
• Knowledge of Python programming language;
• Knowledge in data analysis and modeling;
• Experience creating reports and dashboards that provide insights;
• Good communication and relationship skills with clients and team members;
• Desirable knowledge in Data Engineering and Data Quality.

Don't meet all the requirements? That's okay! At Compass UOL, we promote continuous development of new talents and turn challenges into opportunities.

#remote

Additional Details

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Other
• Industries: IT Services and IT Consulting

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