dS
On-site
Barueri, SP, Brazil
Salary Range
BRL
Full Time Employee
Experience Level
Junior
Requirements
2+ years of experience in the career
Excel
Python
Power BI
SQL
Desired Skills
Scikit-Learn
Streamlit
LLM
Seaborn
Matplotlib
n8n
Machine Learning
Tasks and Responsibilities
Show originalAbout the Role
We are looking for a dynamic professional with strong logical reasoning and a passion for turning data into practical solutions. You will be responsible for modeling reports, automating workflows, and supporting decision-making, bridging the world of Data Analysis with the efficiency of modern automations (Low-Code and AI).
Key Responsibilities
- Develop and maintain interactive reports and dashboards for metric tracking.
- Manipulate, clean, and analyze large volumes of data from various sources.
- Create and optimize database queries for information extraction.
- Identify opportunities for automating routine processes and workflows.
- Collaborate with different departments to translate business needs into technical solutions.
Technical Requirements
- Bachelor's degree completed or in progress in a STEM field (Computer Science, Engineering, Statistics, Mathematics, Physics, or related fields).
- Intermediate Power BI skills: dashboard creation, data modeling, and basic DAX concepts.
- Intermediate Excel skills: advanced formulas, pivot tables, and data manipulation.
- Basic to intermediate Python skills with Pandas and NumPy libraries.
- Basic SQL: SELECTs, JOINs, filters, and aggregations.
- Intermediate English, with good technical reading and writing abilities.
Differentials
- Experience with Python libraries such as Streamlit, Scikit-Learn, Matplotlib, and Seaborn.
- Knowledge of low-code automation tools, especially n8n.
- Familiarity or interest in creating AI Agents and integrating with LLMs via API.
Desired Soft Skills
- Analytical thinking to break down complex problems into logical steps.
- Proactivity and curiosity to learn new technologies and propose improvements.
- Clear communication to translate technical data into easy-to-understand insights.
- Organization to manage your own tasks and deadlines.
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