Senior BI Analyst: SQL, Power BI, Python | Remote

Puntorojo; Buenos Aires; Remote; ARS 138,998,000 - 200,775,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation: USD-based

Flextime: remote/office options

Job summary

AgileEngine is seeking a Senior Business Intelligence Analyst to transform large datasets into strategic insights for senior leaders and product teams. The role requires hands-on Tableau or Streamlit experience, Python development, 5+ years SQL, and upper-intermediate English.

You will build dashboards, analyze data trends, and drive data quality in a fast-paced, remote-friendly environment. Responsibilities include collaborating with customers, owning data processes, and translating complex

Qualifications

• 5+ years of SQL development experience.
• 3+ years of Tableau development experience.
• Prior hands-on Python development experience.
• Hands-on use of Claude Code or Cursor across coding, SQL, analysis, testing, and research; willingness to learn is not sufficient.
• Proficiency in Excel/Google Sheets for ad-hoc analysis.

Responsibilities

• Develop dashboards, reports, and data visualizations to support business decisions.
• Analyze large datasets to identify trends and opportunities.
• Identify and validate data sources to ensure accuracy of insights.
• Interact with customers to gather requirements and deliver strong service.
• Contribute to improving data processes, tools, and documentation.
• Translate complex data into clear, actionable insights for senior leaders.

Skills

SQL development

Tableau development

Python development

Excel / Google Sheets

Tools

Claude Code or Cursor

Snowflake

GitHub

Slack

JIRA

Job description

AgileEngine is seeking a Senior Business Intelligence Analyst to transform large datasets into strategic insights for senior leaders and product teams. The role requires hands-on Tableau or Streamlit experience, Python development, 5+ years SQL, and upper-intermediate English.

You will build dashboards, analyze data trends, and drive data quality in a fast-paced, remote-friendly environment. Responsibilities include collaborating with customers, owning data processes, and translating complex