Senior Clinical Data & Bi Analyst

Maurices; Ciudad de Mendoza; Hybrid; ARS 185,448,000 - 247,265,000; Full time

Benefits offered by this job

Mentorship

USD-based pay

Flexible schedule

Remote/Office options

Job summary

AgileEngine is seeking a Senior Business Intelligence Analyst to build dashboards and reports and turn large datasets into clear insights for senior leaders and product teams. The role requires 5+ years of SQL and 3+ years Tableau development, with Python and AI tools experience.

You will work with remote-friendly teams on data warehousing and Streamlit migrations. Ideal candidates bring strong Excel skills, data modeling expertise, and English at an upper-intermediate level, with a proactive,

Qualifications

• 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.
• Prior experience using AI coding tools, Claude Code or Cursor, for coding, SQL, analysis, testing and research.
• Proficiency in Excel / Google Spreadsheets for ad-hoc analysis.
• Solid understanding of data warehousing and data pipeline concepts.
• Ability to maintain and validate existing data models and calculations for accurate reporting.
• Experience with remote collaboration tools (GitHub, Slack, JIRA).
• Upper-intermediate English level.

Responsibilities

• 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 accuracy of insights.
• Interact with customers to gather requirements and deliver strong customer service.
• Contribute to improving data processes, tools, and documentation.
• Translate complex data into clear, actionable insights for senior leaders and product teams.

Skills

SQL development

Tableau development

Python development

AI coding tools Claude Code or Cursor

Excel/Google Sheets

Data warehousing concepts

Data pipelines concepts

GitHub/Slack/JIRA

English proficiency

Tools

Snowflake

Streamlit

GitHub

Slack

JIRA

Job description

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).
• 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)