> Markdown version of [/jobs/ext/2922000-business-intelligence-analyst](https://www.wearedevelopers.com/jobs/ext/2922000-business-intelligence-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Analyst - **Company:** Enterprise Bank - **Location:** St. Louis, MO, United States - **Salary:** $90,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Computer-Aided Design, Data Governance, Extract Transform Load (ETL), Data Warehousing, Power BI, SQL Server Reporting Services, Tableau (Software), Tools for Reporting, Data Delivery - **Published:** September 15, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2971618519-2 ## About the Role * SQLData visualization (Power BI/Tableau) * Data warehousing concepts * ETL tools * Financial analysis * Dashboard development * Reporting tools (SSRS/Crystal) * Excel (advanced) * Requirements gathering * Data modeling ## Description Enterprise Bank & Trust seeks a Business Intelligence Analyst to turn financial and operational data into insights that support relationship banking and community-focused decisions. You will design and maintain dashboards, reports, and data models that help leaders understand portfolio performance, client profitability, and risk trends. Collaborate with business partners to define requirements, validate data quality, and deliver actionable analytics. Support strategic initiatives, regulatory reporting, and process improvements while growing your skills in a collaborative, development-focused culture., * Design, build, and maintain BI dashboards and reports for financial and operational stakeholders. * Translate business requirements into technical specifications, data models, and reporting solutions. * Analyze portfolio, client, and risk data to uncover trends and support strategic decisions. * Ensure data accuracy, consistency, and quality across BI datasets and reports. * Partner with business units, IT, and risk teams to support regulatory and management reporting. * Automate recurring reports and streamline data delivery processes. * Support ad hoc data requests and analytical projects for senior leaders. * Collaborate in cross-functional initiatives to improve data governance and BI best practices.