ddCom IT Systems

Data and Automation Analyst

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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

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About 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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