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Python Data Analyst for AI Agent Builder - Remote

Posted 16 weeks ago
Data Analysis
Full Time
Brazil

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Overview

We are seeking a highly skilled Python Data Analyst to join our team and play a key role in the development of our internal Agent Builder - a self-service agent builder platform that enables businesses to move away from heavy prompt engineering in favor of a more intuitive experience where custom-built workflows can be managed by typical business users. This role focuses on leveraging data to enhance AI-driven automation, ensuring users can effortlessly create, modify, and deploy AI-driven agents for various business workflows. This is a unique opportunity to be part of an innovative AI project that will transform business decision-making.

In Short

  • Develop and maintain an AI Agent builder platform.
  • Ensure scalability and ease of use for non-technical users.
  • Implement and optimize data analysis processes using Python.
  • Work with Google BigQuery to manage and analyze large datasets efficiently.
  • Collaborate with cross-functional teams to refine requirements.
  • Improve the platform for various business departments.

Requirements

  • Proficiency in Python programming.
  • Experience with data analysis and visualization.
  • Familiarity with Google BigQuery.
  • Strong problem-solving skills.
  • Ability to work collaboratively in a team environment.

Benefits

  • Opportunity to work on innovative AI projects.
  • Flexible working hours.
  • Remote work options.
  • Collaborative team environment.
  • Professional development opportunities.
Thaloz logo

Thaloz

Thaloz is a forward-thinking company focused on leveraging data to drive business insights and enhance customer growth. With a commitment to developing innovative data solutions, Thaloz emphasizes the importance of data quality and governance while fostering a collaborative, data-driven culture across the organization. The company is dedicated to utilizing advanced technologies and methodologies to solve complex business problems and support the development of predictive analytics, ensuring that their data engineering practices align with industry best standards.

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