Description
Job Summary:
Professional to develop and analyze operational and tactical indicators, seeking improvements through automation and data management.
Key Highlights:
1. Expertise in data analysis and visualization using BI tools
2. Development of operational and tactical indicator analyses
3. Pursuit of process and workflow improvements and automation
Description:
* Intermediate/Advanced knowledge of Excel and BI;
* Knowledge of logistics operations;
* Completed or ongoing undergraduate degree in Business Administration, Logistics, Data Science, or related fields.
* Programming languages: proficiency in SQL for data manipulation and knowledge of Python or R for advanced analytics.
* Visualization tools: experience with Power BI, Tableau, Looker Studio, or equivalent tools.
* Data modeling and structure: understanding of relational and non-relational databases (e.g., SQL Server, PostgreSQL, BigQuery, MongoDB).
* Statistics and data analysis: knowledge of statistical methods, performance indicators (KPIs), and exploratory and predictive analytics.
* Data manipulation and processing: use of tools such as advanced Excel, ETL (Extract, Transform, Load), and libraries like pandas and numpy.
* Data Warehouse and BI concepts: understanding of data architectures, pipelines, and integrations.
* Data analysis, BI structuring, frontend development, generating analytical insights.
* Develop analyses of operational and tactical indicators.
* Validate processes and procedures relevant to analytical data generation.
* Develop dashboards and data consolidation.
* Seek improvements in workflows and processes through automation.
* Monitor and manage indicators, KPIs, and SLAs.
* Comply with company policies and procedures.
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