Senior AI-Powered BI & Analytics Engineer (Remote)

Fullstack; Ciudad de Mendoza; Hybride; ARS 92 724 000 - 139 086 000; Plein temps

Avantages offerts par ce poste

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime — remote and office options

Résumé du poste

AgileEngine is seeking a Senior Business Intelligence Analyst to build dashboards and reports, turning large datasets into clear insights for senior leaders and product teams. You will develop data visualizations, analyze trends, and validate data sources to ensure accurate reporting.

The role requires 5+ years SQL development, 3+ years Tableau development (incl. migrations to Streamlit), and hands-on Python experience.

Qualifications

• 5+ years of SQL development experience and optimizing queries across large datasets.
• 3+ years of Tableau development experience, maintaining models or migrating to Streamlit.
• Hands-on Python development experience.
• Experience using AI coding tools (Claude Code or Cursor) across coding, SQL, analysis, testing and research.
• Proficiency in Excel / Google Sheets for ad-hoc analysis.
• Solid understanding of data warehousing and data pipeline concepts.
• Experience with remote collaboration tools (GitHub, Slack, JIRA).
• Upper-intermediate English.

Responsabilités

• Develop dashboards, reports, and data visualizations to support decision-making.
• Analyze large datasets to identify trends and opportunities.
• Validate data sources to ensure accuracy and reliability of insights.
• Interact with customers to gather requirements and deliver strong service.
• Improve data processes, tools, and documentation.

Connaissances

SQL development

Tableau development

Python development

AI coding tools

Excel / Google Sheets

Data warehousing concepts

Remote collaboration tools

English (upper-intermediate)

Outils

Tableau

Python

Claude Code

Cursor

Excel/Google Sheets

GitHub

Slack

JIRA

Description du poste

AgileEngine is seeking a Senior Business Intelligence Analyst to build dashboards and reports, turning large datasets into clear insights for senior leaders and product teams. You will develop data visualizations, analyze trends, and validate data sources to ensure accurate reporting.

The role requires 5+ years SQL development, 3+ years Tableau development (incl. migrations to Streamlit), and hands-on Python experience.