About the Role

We are looking for a Senior Business Intelligence Analyst to build dashboards and reports and turn large datasets into clear insights for senior leaders and product teams.

The mandatory requirements are 5+ years of SQL development, experience with Tableau or Streamlit, hands-on use of Claude Code or Cursor, Excel or Google Sheets for ad-hoc analysis, Python development experience, an understanding of data warehousing and data pipelines, and an upper-intermediate English level.

What you will do

- Develop dashboards, reports, and data visualizations that support business decision-making.
- Analyze large datasets to identify trends, opportunities, and areas for improvement.
- Identify and validate data sources to ensure the accuracy and reliability of insights.
- Interact directly with customers to gather requirements and deliver strong customer service.
- Contribute to improving data processes, tools, and documentation.
- Autonomously navigate ambiguity, set strategy and priorities, and translate complex data into clear, actionable insights and compelling narratives for senior leaders and product teams, with a focus on business and customer impact.
- Communicate complex data insights clearly to varied audiences.
- Operate in a self-guided, strategic manner, determining the most efficient and effective next steps for project and team success.
- Bring an operational mindset with a strong sense of urgency.
- Take full ownership and persevere through every challenge with consistent energy, regardless of complexity.
- Maintain a deep sense of quality and attention to detail.
- Support teammates by taking on secondary tasks when needed to ensure overall project success.

Must haves





- 5+ years of SQL development experience; experience writing and optimizing SQL queries across large datasets.
- 3+ years of Tableau development experience, including hands-on experience maintaining existing Tableau models and/or migrating them to Streamlit.
- Prior hands-on Python development experience (prioritized over Snowflake where only one can be prioritized).
- Prior practical, hands-on experience using AI coding tools, specifically Claude Code or Cursor, across coding, SQL, analysis, testing, and research; familiarity or a willingness to learn alone is not sufficient, as these are the primary tools used by the team.
- Proficiency in Excel / Google Spreadsheets for running ad-hoc analysis.
- Solid understanding of data warehousing and data pipeline concepts.
- Ability to maintain and validate existing data models and calculations to ensure accurate reporting.
- Experience working in an environment that leverages remote communication and collaboration tools (e.g., GitHub, Slack, JIRA).
- Upper-intermediate English level.

Nice to haves

- 2+ years of Snowflake development experience.

Perks

- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside general teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location

📌 Data Analyst (Argentina)
🏢 AgileEngine
📍 Argentina