Senior BI Analyst: Dashboards, SQL & AI-powered Insights

Pwc Argentina; Rosario; Remote; ARS 1,800,000 - 3,000,000; Full time

Job summary

AgileEngine, based in Rosario, seeks a Senior Business Intelligence Analyst to build dashboards and reports and turn large datasets into clear insights for senior leaders and product teams.

You will develop dashboards, analyze datasets, validate data sources, and interact with customers to gather requirements while driving data processes with an operational mindset and attention to quality.

Qualifications

• 5+ years of SQL development experience.
• 3+ years of Tableau development experience.
• Hands-on Python development experience.
• Experience with AI coding tools (Claude Code or Cursor).
• Proficiency in Excel/Google Sheets for ad-hoc analysis.
• Solid understanding of data warehousing concepts.
• Ability to maintain and validate data models and calculations.
• Familiarity with remote collaboration tools (GitHub, Slack, JIRA).

Responsibilities

• Develop dashboards, reports, and data visualizations for 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 service.
• Improve data processes, tools, and documentation.
• Translate complex data into clear insights for senior leaders.
• Communicate data insights clearly to varied audiences.
• Navigate ambiguity and set strategy for project success.

Skills

SQL development

Tableau development

Python development

AI coding tools (Claude Code/Cursor)

Excel/Google Sheets

Data warehousing concepts

Data modeling & calculations

Remote collaboration tools (GitHub, JI

Tools

Snowflake

Job description

AgileEngine, based in Rosario, seeks a Senior Business Intelligence Analyst to build dashboards and reports and turn large datasets into clear insights for senior leaders and product teams.

You will develop dashboards, analyze datasets, validate data sources, and interact with customers to gather requirements while driving data processes with an operational mindset and attention to quality.