Description:
At Frontiers, we believe that data is only as valuable as it is accurate, trusted, and actionable. As our Business Intelligence Manager, you will transform internal business reporting into a true center of excellence, setting best-in-class standards for insight, accessibility, and innovation. You will take full ownership for the veracity and accuracy of all internal data – ensuring every business decision can be grounded in robust, reliable, and transparent information.
You will lead, develop, and inspire a talented team of analysts, continually raising the bar for what quality business reporting and analytics look like at Frontiers. Your leadership will foster a culture where actionable, trustworthy insights drive outcomes at every business level.
Key Responsibilities:
- Develop, implement, and maintain robust business reporting aligned with company needs and best practices.
- Ensure data integrity, establishing rigorous validation processes to guarantee accurate, trusted data.
- Deliver clear and actionable insights for senior leaders, supporting data-driven strategies and decisions.
- Lead, mentor, and inspire a team of analysts, promoting professional growth and fostering a culture of excellence.
- Drive process innovation by integrating AI and automation tools into reporting workflows, monitoring and measuring their impact.
- Collaborate closely with cross-functional partners to ensure data quality, scalable infrastructure, and reliable reporting.
- Communicate complex analytical concepts in a clear, approachable manner to both technical and non-technical stakeholders.
- Continuously assess, refine, and enhance reporting processes to meet evolving organizational needs.
- Establish and monitor performance metrics and reporting service level agreements (SLAs).
Requirements:
- Proven experience in data, analytics, or business intelligence roles, with at least 3 years in management or leadership positions.
- Demonstrated ability to lead reporting or analytics teams and establish centers of reporting excellence.
- Advanced SQL skills and proficiency with data modeling, ELT processes, and data pipeline best practices.
- Strong analytical skills and data visualization expertise; comfortable working with large, datasets and complex ETL processes.
- Experience with dashboarding and analytics platforms (Tableau preferred).
- Familiarity with embedding or deploying AI/automation tools within reporting workflows is a plus.
- Excellent communication and project management skills; able to prioritize multiple, fast-moving deliverables.