Data Analytics Specialist

Data Analytics Specialist

Responsible for data analysis, reporting, and visualization to help companies make data-driven strategic decisions.

Python
Multipurpose programming language popular for its simplicity and large ecosystem for data science, backend, and more.
SQL
Structured query language used to manage and manipulate relational databases.
R
Programming language specialized in statistical analysis and data visualization.
MongoDB
Document-oriented NoSQL database used to store data flexibly and scalably.
Power BI
Microsoft data analysis tool that allows creating interactive reports and dashboards for business data visualization.
Excel
Spreadsheet tool used for organizing, analyzing, and visualizing data.
Tableau
Data visualization platform that allows creating interactive charts and dashboards for data-driven decision making.
Google Analytics
Web analytics tool used to measure traffic and user behavior on websites and applications.
Database Fundamentals
Introduction to the principles of relational and non-relational databases, schema design, and normalization.
Statistics
Knowledge of statistical concepts and methods used to analyze and summarize data, including distributions, inference, and probability.
Data Analysis
Techniques and methods used to examine, clean, and model data with the aim of discovering useful information and supporting decision-making.
Digital Analytics
Use of tools and methods to measure and analyze user behavior in digital media, optimizing campaign performance.
Data Visualization
Techniques and tools used to graphically represent data, facilitating its interpretation and analysis.
Critical Thinking
Ability to evaluate and question information logically and objectively to make well-founded decisions.
Attention to Detail
Ability to work with precision and care, thoroughly reviewing work to avoid errors.
Effective Communication
Ability to express ideas clearly and understandably both orally and in writing.
Results Presentation
Ability to effectively communicate findings, analysis, or results to technical or non-technical audiences.
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