Senior BI Analyst: SQL, Power BI & Python (Remote)

Bluelight Consulting, Llc; Rosario; Hybrid; ARS 139,312,000 - 185,750,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Business Intelligence Analyst to build dashboards and translate large datasets into clear insights for senior leaders and product teams. The role requires Tableau or Streamlit experience, Python development, and strong SQL skills, plus hands-on use of Claude Code or Cursor.

You will interact with customers to gather requirements, validate data sources, and drive data-driven decisions.

Qualifications

• 5+ years of SQL development experience.
• 3+ years of Tableau development experience.
• Prior hands-on Python development experience.
• Hands-on experience using Claude Code or Cursor.
• Proficiency in Excel / Google Sheets for ad-hoc analysis.
• Solid understanding of data warehousing and data pipelines.
• Experience with remote collaboration tools (GitHub, Slack, JIRA).
• 2+ years of Snowflake development is a plus.

Responsibilities

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

Tools

SQL (development)

Tableau

Python

Claude Code

Cursor

Excel/Google Sheets

Snowflake

GitHub

Slack

JIRA

Job description

AgileEngine is seeking a Senior Business Intelligence Analyst to build dashboards and translate large datasets into clear insights for senior leaders and product teams. The role requires Tableau or Streamlit experience, Python development, and strong SQL skills, plus hands-on use of Claude Code or Cursor.

You will interact with customers to gather requirements, validate data sources, and drive data-driven decisions.