Remote Insurtech Bi & Project Lead

Covergo Limited

Rosario

Remote

ARS 139,086,000 - 200,903,000

Full time

41 hours ago
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Benefits offered by this job

Professional growth
Competitive USD-based pay
Exciting projects
Flextime

Job summary

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

You will develop SQL-driven data models, maintain Tableau dashboards and migrate models to Streamlit, apply Python for data preparation, and collaborate with customers and cross-functional teams. You’ll operate in a remote-friendly, fast-paced environment that values clarity, accuracy, and impact.

Qualifications

  • 5+ years of SQL development experience across large datasets.
  • 3+ years of Tableau development experience and maintenance/migration to Streamlit.
  • Hands-on Python development experience.
  • Experience using Claude Code or Cursor for coding, analysis and testing.
  • Proficiency in Excel / Google Sheets for ad-hoc analysis.
  • Understanding of data warehousing and data pipelines.
  • Experience with remote collaboration tools (GitHub, Slack, JIRA).
  • Upper-intermediate English.

Responsibilities

  • Develop dashboards, reports, and data visualizations to support business decisions.
  • 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.
  • Improve data processes, tools and documentation.
  • Translate complex data into clear insights for senior leaders and product teams.
  • Communicate complex data insights clearly to varied audiences.
  • Take ownership with urgency and maintain quality and attention to detail.

Skills

SQL development
Tableau development
Python development
AI coding tools
Claude Code
Cursor
Excel / Google Sheets
Data warehousing
Data pipelines
GitHub / Slack / JIRA
English communication

Tools

Snowflake

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.
  • 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)
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