Consultor de Inteligência Comercial I (Foco em Análise de Dados e Automação)
New
J
JobgetherBusiness Intelligence
BrazilFull-TimeEntry
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLBusiness IntelligenceData AnalysisMicrosoft Power BIAgile methodologies
Requirements
- Bachelor’s degree completed in Computer Science, Information Systems, Engineering, Business Administration, Statistics, Economics, or related fields.
- Experience with data analysis, KPI development, and identifying opportunities for business process improvement.
- Knowledge of SQL for data querying, analysis, and manipulation.
- Experience with BI and analytics tools such as Power BI or similar platforms.
- Experience with automation and productivity tools, including Power Automate, Python automation, RPA, or equivalent solutions.
- Strong knowledge of tabular cube development.
- Experience organizing, processing, and analyzing structured and unstructured data to generate insights.
- Ability to document business processes, data needs, and improvement opportunities clearly.
- Familiarity with agile methodologies and collaborative work with business areas and technical teams.
- Experience with corporate data platforms such as Data Lake, Databricks, Cloud Azure, or similar solutions is a plus.
Responsibilities
- Develop and enhance management reports, dashboards, and analytical tools to support business decision-making.
- Analyze market and business data, providing critical insights and translating information into actionable recommendations.
- Maintain and improve processes within the area, ensuring continuous optimization and updated procedures.
- Conduct studies to identify sales growth opportunities across customer distribution channels.
- Ensure the accuracy and consistency of business rules applied to key performance indicators managed by the area.
- Support internal clients by understanding their needs, analyzing requirements, and proposing solutions that generate value.
- Document business rules, data requirements, process flows, acceptance criteria, and improvement opportunities.
- Collaborate with business and technical teams to deliver efficient analytics and automation solutions.
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