Communications and Marketing Intern

Jobtailor; São Paulo; Presencial; BRL 20 000 - 27 000; Tempo integral

Resumo da oferta

Jobtailor in Brazil (São Paulo) offers a data‑driven internship for students in CS, Data Science, or related fields. You will work on data analyses, dashboards, pipelines, and help transform business problems into actionable insights.

You will gain hands‑on experience with Python, SQL, Excel, BI tools, and cloud platforms like Azure and Databricks while collaborating with a multidisciplinary team to deliver reliable information and measurable outcomes.

Qualificações

• Pursuing degree in CS/CE/SE/Data Eng/IS/Data Science; solid foundation.
• Basic knowledge of Python, SQL and Excel.
• Analytical thinking, organization, and willingness to learn.
• Strong communication and teamwork abilities.
• Familiarity with BI, Azure, Databricks, PySpark, Git or Qlik.
• Participation in data-related academic or personal projects.

Responsabilidades

• Develop practical knowledge across different data areas.
• Support the transformation of business problems into analyses and solutions.
• Contribute to the quality and reliability of information.
• Support data organization, processing, and validation.
• Contribute to analyses, metrics, dashboards, and pipelines.
• Identify patterns, opportunities, and inconsistencies in data.
• Document the analyses and solutions developed.

Conhecimentos

Python

SQL

Excel

Data Analysis

Analytical thinking

Strong communication

Team collaboration

Willingness to learn

Formação académica

Currently pursuing a degree in Computer Science, Computer Engineering, Software Engineering, Data Engineering, Information Systems, or Data Science

Ferramentas

Azure

Databricks

PySpark

Git

Qlik

Descrição da oferta de emprego

• Develop practical knowledge across different data areas.


• Support the transformation of business problems into analyses and solutions.


• Contribute to the quality and reliability of information.


• Support data organization, processing, and validation.


• Contribute to analyses, metrics, dashboards, and pipelines.


• Identify patterns, opportunities, and inconsistencies in data.


• Document the analyses and solutions developed.

Requirements

• Currently pursuing a degree in Computer Science, Computer Engineering, Software Engineering, Data Engineering, Information Systems, or Data Science.


• Basic knowledge of Python, SQL, and Excel.


• Analytical thinking, organization, and a willingness to learn.


• Strong communication skills and the ability to work as part of a team.


• Familiarity with BI, statistics, Azure, Databricks, PySpark, Git, or Qlik.


• Participation in academic or personal projects related to data.

Core Competencies

Demonstrates practical knowledge in data organization, processing, and validation, with a focus on analytical thinking and effective communication. Proficient in Python, SQL, and Excel, with familiarity in BI tools and cloud technologies.

Highest-signal resume keywords

• Python


• SQL


• Excel


• Data Analysis


• Azure

ATS Optimization Keywords

Hard Skills

• Data Organization


• Data Processing


• Data Validation


• Analytical Thinking


• Metrics Development


• Dashboard Creation


• Pattern Identification


• Solution Documentation


• Business Intelligence


• Statistics

Soft Skills

• Strong Communication


• Team Collaboration


• Organizational Skills


• Willingness to Learn

Industry Keywords

• Data Engineering


• Information Systems


• Data Science

Tools & Technologies

• Azure


• Databricks


• PySpark


• Git


• Qlik