Remote AI & BI Operations Lead — Data Insights Leader

Prolific; Rosario; Hybrid; ARS 108,178,000 - 169,994,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine in Rosario is seeking 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 trends, validate data sources, interact with customers to gather requirements, improve data processes, and translate complex data into actionable narratives with urgency and attention to quality.

Qualifications

• 5+ years of SQL development experience with large datasets.
• 3+ years of Tableau development and maintenance.
• Hands-on Python development experience.
• Experience using AI coding tools like Claude Code or Cursor.
• Proficient Excel/Google Sheets for ad-hoc analysis.
• Strong data warehousing and data pipeline understanding.
• Ability to validate data models and calculations.
• Experience with remote collaboration tools (GitHub, Slack, JIRA).

Responsibilities

• Develop dashboards and reports for senior leaders.
• Analyze large datasets to identify trends and opportunities.
• Validate data sources for accuracy and reliability.
• Interact with customers to gather requirements.
• Improve data processes, tools, and documentation.
• Translate complex data into clear insights for stakeholders.
• Communicate insights clearly to varied audiences.
• Work autonomously with strategic prioritization.

Skills

SQL development

Tableau development

Python development

AI coding tools

Excel / Google Sheets

Data warehousing

Data modeling

Remote collaboration tools

Tools

GitHub

Slack

JIRA

Streamlit

Claude Code

Cursor

Job description

AgileEngine in Rosario is seeking 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 trends, validate data sources, interact with customers to gather requirements, improve data processes, and translate complex data into actionable narratives with urgency and attention to quality.