Remote Data & Bi Project Lead

World Business Lenders, Llc; Ciudad de Mendoza; Híbrido; ARS 169.994.000 - 231.811.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based pay

Exciting projects

Flextime with remote/office options

Descripción de la vacante

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

Required skills include 5+ years SQL, 3+ years Tableau, Python, and experience with AI coding tools. Strong data warehousing knowledge and English proficiency are essential. This role offers flextime with remote and office options and USD-based compensation.

Formación

• 5+ years of SQL development experience with large datasets.
• 3+ years of Tableau development experience, including maintaining or migrating models to Streamlit.
• Hands-on Python development experience.
• Experience using AI coding tools Claude Code or Cursor across coding, SQL, analysis, testing, and research.
• 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 with remote collaboration tools (GitHub, Slack, JIRA).
• Upper-intermediate English.

Responsabilidades

• Develop dashboards, reports, and data visualizations to support business decisions.
• Analyze large datasets to identify trends and opportunities.
• Identify and validate data sources for accurate 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 senior leaders.
• Communicate complex data insights clearly to varied audiences.
• Operate with initiative to determine next steps for project success.
• Maintain quality and attention to detail in all work.

Conocimientos

SQL development

Tableau development

Python development

AI coding tools (Claude Code/Cursor)

Excel/Google Sheets

Data warehousing concepts

Data modeling

Remote collaboration tools (GitHub/Sl​

English (upper-intermediate)

Herramientas

Snowflake

Descripción del empleo

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.
• Excel / Google Spreadsheets proficiency 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.

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.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.

Requirements

• 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)