Senior Business Analyst (Latam)

Lateralgroup; Rosario; Presencial; ARS 138 361 000 - 215 229 000; Tempo integral

Resumo da oferta

AgileEngine Inc. is seeking a Senior Business Intelligence Analyst to build dashboards and reports, turning large datasets into clear insights for senior leaders and product teams.

3+ years Tableau and 5+ years SQL experience are preferred, with Python development and use of AI coding tools. You will collaborate across teams, validate data sources, and drive data-driven decisions with a strong emphasis on quality and delivery.

Qualificações

• 5+ years of SQL development experience.
• 3+ years of Tableau development experience.
• Hands-on Python development experience.
• Experience with AI coding tools (Claude Code or Cursor).
• Proficiency in Excel/Google Sheets for ad-hoc analysis.
• Solid understanding of data warehousing and data pipeline concepts.
• Ability to maintain and validate data models and calculations for reporting.
• Experience using remote collaboration tools (GitHub, Slack, JIRA).
• Nice to have: 2+ years of Snowflake development experience.

Responsabilidades

• Develop dashboards, reports, and visualizations to support decision-making.
• 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.
• Contribute to improving data processes, tools, and documentation.
• Navigate ambiguity and translate complex data into actionable insights for leaders and product teams.
• Communicate complex data clearly to diverse audiences.

Conhecimentos

SQL development

Tableau development

Python development

AI coding tools (Claude Code, Cursor)

Excel/Google Sheets

Data warehousing concepts

Data validation & metrics

Data storytelling & insights

Ferramentas

Snowflake

GitHub

Slack

JIRA

Streamlit

Descrição da oferta de emprego

Senior Business Intelligence Analyst ID98266

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

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.

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.

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