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.

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

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.

- 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.

- 2+ years of Snowflake development experience.

- 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.

- 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.