Senior BI Analyst - Dashboards, SQL & AI Insights (Remote)

PwC Argentina; Ciudad de Mendoza; Hybrid; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Flextime

Remote and office options

USD-based pay

Job summary

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. The role requires advanced SQL, Tableau, and Python, plus hands-on experience with AI coding tools like Claude Code or Cursor.

Strong Excel skills and data warehousing acumen are essential. The position offers flextime with remote and office options, and a USD-based compensation package.

Qualifications

• 5+ years of SQL development experience.
• 3+ years of Tableau development experience.
• Python development experience.
• Experience using AI coding tools (Claude Code or Cursor).
• Proficiency in Excel/Google Sheets.
• Solid understanding of data warehousing and data pipelines.
• Ability to maintain data models and calculations.
• Experience with remote collaboration tools.

Responsibilities

• Develop dashboards, reports, and data visualizations for senior leaders and product teams.
• Analyze large datasets to identify trends and opportunities.
• Identify data sources and validate data quality.
• Interact with customers to gather requirements and deliver insights.
• Improve data processes, tools, and documentation.
• Translate complex data into clear, actionable insights for diverse audiences.

Skills

SQL development

Tableau

Python

Claude Code

Cursor

Excel/Sheets

Data warehousing

Data modeling

English

GitHub

Slack

JIRA

Snowflake

Tools

GitHub

Slack

JIRA

Job description

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. The role requires advanced SQL, Tableau, and Python, plus hands-on experience with AI coding tools like Claude Code or Cursor.

Strong Excel skills and data warehousing acumen are essential. The position offers flextime with remote and office options, and a USD-based compensation package.