Senior BI Analyst — Remote-Friendly Dashboards & AI Insights

AgileEngine; Colombia; Hybrid; COP 297,138,000 - 429,199,000; Full time

Benefits offered by this job

Professional growth

USD-based pay with budgets for ed, gym

Exciting projects

Flextime: remote and office options

Job summary

AgileEngine, LLC. 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 hands-on experience with Tableau or Streamlit, Claude Code or Cursor, Python development, 5+ years of SQL, and an upper-intermediate level of English. You will develop dashboards, analyze data trends, validate data sources, and interact with customers to gather requirements while driving data processes and

Qualifications

• 5+ years of SQL development experience.
• 3+ years of Tableau development experience, maintaining models or migrating to Streamlit.
• Prior hands-on Python development experience.
• Experience using Claude Code or Cursor across coding, SQL, analysis, testing, and research.

Responsibilities

• Develop dashboards, reports, and data visualizations to support 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 strong service.
• Contribute to improving data processes, tools, and documentation.

Skills

SQL development

Tableau development

Python development

Excel/Google Sheets

Data storytelling

Tools

Tableau

Streamlit

Claude Code

Cursor

Python

Snowflake

Job description

AgileEngine, LLC. 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 hands-on experience with Tableau or Streamlit, Claude Code or Cursor, Python development, 5+ years of SQL, and an upper-intermediate level of English. You will develop dashboards, analyze data trends, validate data sources, and interact with customers to gather requirements while driving data processes and