Senior BI Analyst — Dashboards for Leaders (Remote/Flex)

Dataint

Buenos Aires

Hybrid

ARS 139,312,000 - 185,750,000

Full time

2 days ago
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Benefits offered by this job

Professional growth
Competitive compensation
Exciting projects
Flextime

Job summary

AgileEngine seeks a Senior BI Analyst to build dashboards from large datasets for senior leaders and product teams. You will work with Tableau or Streamlit, Python, and SQL, delivering clear insights and data-driven narratives with an emphasis on business impact.

You will collaborate with customers, own data sources, and contribute to data processes, maintaining high quality and urgency in a remote-friendly, hybrid setting.

Qualifications

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

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.
  • Improve data processes, tools, and documentation.
  • Translate complex data into clear insights and narratives for leaders.

Skills

SQL development
Tableau development
Python development
Claude Code
Cursor
Excel / Sheets
Data warehousing
Data modeling

Tools

Snowflake

Job description

AgileEngine seeks a Senior BI Analyst to build dashboards from large datasets for senior leaders and product teams. You will work with Tableau or Streamlit, Python, and SQL, delivering clear insights and data-driven narratives with an emphasis on business impact.

You will collaborate with customers, own data sources, and contribute to data processes, maintaining high quality and urgency in a remote-friendly, hybrid setting.

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