Remote Bi & Sql Analyst — Power Bi & Data Modeling

Doorstead, Inc.; Quilmes; Híbrido; ARS 139.086.000 - 200.903.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

USD‑based pay

Professional growth: Mentorship & Tech

Growth roadmaps

Flextime: remote and office options

Descripción de la vacante

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

The role emphasizes SQL development, Tableau expertise, Python, and experience with AI coding tools, with flexible remote/office options and USD-based compensation. You will interact with customers and drive data-driven decisions across multiple projects.

Formación

• 5+ years of SQL development experience across large datasets.
• 3+ years of Tableau development, maintaining/migrating models to Streamlit.
• Hands-on Python development experience.
• Experience using AI coding tools (Claude Code or Cursor).
• Proficiency with Excel/Google Sheets for ad-hoc analysis.
• Strong understanding of data warehousing and data pipelines.
• Ability to validate data models and calculations for accurate reporting.
• Experience with remote collaboration tools (GitHub, Slack, JIRA).
• Upper-intermediate English level.

Responsabilidades

• Develop dashboards, reports, and visualizations to support decision-making.
• Analyze large datasets to identify trends and opportunities.
• Identify and validate data sources for accurate insights.
• Interact with customers to gather requirements and deliver service.
• Improve data processes, tools, and documentation.
• Translate complex data into clear insights for leaders and product teams.
• Communicate complex data insights to varied audiences.
• Navigate ambiguity, set strategy, and determine next steps for projects.
• Maintain quality and attention to detail; support teammates as needed.

Conocimientos

SQL

Tableau

Python

AI tools (Claude Code/Cursor)

Excel/Sheets

Data warehousing

Data models

GitHub/JIRA/Slack

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.
• 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 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).
• Upper‑intermediate English level.
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