Senior BI & AI Data Analyst — Dashboards & Insights

Outlier; Rosario; Hybrid; ARS 139,086,000 - 185,448,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Business Intelligence Analyst to build dashboards and reports, turning large datasets into strategic insights for senior leaders and product teams.

You will develop and optimize SQL queries, maintain Tableau models or migrate them to Streamlit, and leverage Python and AI tools to accelerate analysis while collaborating across remote teams. Flexibility includes remote and office options.

Qualifications

• 5+ years of SQL development experience.
• 2+ years of Tableau development experience, including migration to Streamlit.
• Hands-on Python development experience.
• Practical use of Claude Code or Cursor for coding/analysis.
• Strong Excel/Google Sheets for ad-hoc analysis.
• Solid understanding of data warehousing and data pipelines.
• Ability to validate data models and calculations for accurate reporting.
• Experience with remote collaboration tools (GitHub, Slack, JIRA).

Responsibilities

• Develop dashboards, reports, and data visualizations to support business decisions.
• Analyze large datasets to identify trends and opportunities.
• Identify and validate data sources for reliable insights.
• Interact with customers to gather requirements and deliver value.
• Improve data processes, tools, and documentation.
• Translate complex data into clear insights for leaders and product teams.

Skills

SQL development

Tableau development

Python development

AI coding tools

Excel/Google Sheets

Data warehousing

Data models & calculations

GitHub/Slack/JIRA collaboration

Tools

Snowflake

Job description

AgileEngine is seeking a Senior Business Intelligence Analyst to build dashboards and reports, turning large datasets into strategic insights for senior leaders and product teams.

You will develop and optimize SQL queries, maintain Tableau models or migrate them to Streamlit, and leverage Python and AI tools to accelerate analysis while collaborating across remote teams. Flexibility includes remote and office options.