Senior Business Intelligence Analyst ID98266

Agile Engine 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 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., Git Hub, 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

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