Create interactive dashboards, reports, and analyses in Power BI;
Analyze data to identify trends, patterns, and valuable insights;
Data Modeling – Develop and implement analytical models to support and inform decision-making, using multidimensional modeling and data denormalization techniques;
Collect, clean, and integrate data from multiple sources to ensure data quality and consistency;
Perform exploratory data analyses to identify relevant trends, patterns, and insights;
Interpret and communicate analysis results clearly and concisely to internal and external stakeholders;
Collaborate with cross-functional teams to understand data needs and deliver effective analytical solutions;
Provide support in the implementation and maintenance of data analysis systems and tools;
Stay up to date with trends and advances in data analysis, contributing to continuous innovation;
Present analyses, reports, and dashboards in strategic meetings;

Bachelor's degree completed or in progress: Degree in Computer Science, Engineering, Statistics, Mathematics, Economics, Marketing, or related fields;
Databases: Knowledge of SQL and experience with relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB);
BI Tools: Proficiency with BI tools such as Looker, Tableau, Power BI, QlikView, or similar;
Programming: Proficiency in programming languages such as Python or R; experience with data analysis libraries (pandas, numpy, scikit-learn) is a plus;
Big Data: Knowledge of Big Data processing tools such as Hadoop and Spark;
Data Visualization: Ability to create clear and engaging data visualizations;
Machine Learning: Basic knowledge of machine learning algorithms is a plus;

BI Analyst

Key skills