Data Analyst

AgileEngine; Argentina; Remote; ARS 130,866,000 - 184,752,000; Full time

Job summary

AgileEngine, LLC. is seeking a Senior Business Intelligence Analyst to build dashboards and reports from large datasets, delivering clear insights to senior leaders and product teams.

You will develop and maintain BI models, collaborate with customers for requirements, and drive data-driven decisions with an operational mindset and strong attention to quality.

Qualifications

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

Responsibilities

• Develop dashboards, reports, and visualizations to support decisions.
• Analyze large datasets to identify trends and opportunities.
• Validate data sources for accurate insights.
• Gather requirements from customers and deliver strong service.
• Improve data processes, tools, and documentation.
• Translate complex data into clear narratives for leaders and product teams.
• Communicate insights clearly to varied audiences.
• Operate strategically with urgency and ownership.
• Maintain quality and attention to detail.
• Support teammates on adjacent tasks as needed.

Skills

SQL development

Python development

Ad-hoc analysis

Data storytelling

Tools

Tableau

Streamlit

Claude Code

Cursor

Excel

Google Sheets

GitHub

Slack

JIRA

Job description

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).

Nice to haves

• 2+ years of Snowflake development experience.
• 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 global 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