Senior BI Analyst - Remote & Flexible, Impactful Dashboards

Velocehr; Ciudad de Mendoza; Híbrido; ARS 139.312.000 - 185.750.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Senior Business Intelligence Analyst to build dashboards and turn large datasets into clear insights for senior leaders and product teams. The role requires 5+ years of SQL, 3+ years Tableau, Python development, and hands-on use of Claude Code or Cursor.

You will work with remote collaboration tools and data warehousing concepts to deliver actionable insights, improve data processes, and support business decisions.

Formación

• 5+ years of SQL development experience across large datasets.
• 3+ years of Tableau development experience, maintaining/migrating models to Streamlit is a plus.
• Hands-on Python development experience.
• Hands-on use of Claude Code or Cursor for coding, SQL, analysis and testing.

Responsabilidades

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

Conocimientos

SQL development

Tableau development

Python development

AI coding tools Claude Code

Cursor

Excel/Sheets

Data warehousing

Data modeling & calculations

GitHub/Slack/JIRA usage

Herramientas

Snowflake

Streamlit

Descripción del empleo

AgileEngine is seeking a Senior Business Intelligence Analyst to build dashboards and turn large datasets into clear insights for senior leaders and product teams. The role requires 5+ years of SQL, 3+ years Tableau, Python development, and hands-on use of Claude Code or Cursor.

You will work with remote collaboration tools and data warehousing concepts to deliver actionable insights, improve data processes, and support business decisions.