Business Intelligence Engineer Manager
Listed on 2026-02-03
-
IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
The Enterprise Business Intelligence Engineer Manager is part of the Enterprise Data Services (EDS) team and collaborates across Firm Technology Services to identify improvement opportunities and provide guidance, best practices, and support for reports, analytics, and analytical applications. This role focuses on making data available in a secure, scalable, and high-performing manner to support the technical, operational, and business needs of Forvis Mazars.
Description& Requirements
As a key member of EDS, you will design, develop, and maintain data solutions that enable timely and accurate business insights, apply systems and business analysis techniques, and collaborate with end users to define data and functional requirements. You will also contribute to workflow development that enhances efficiency across the firm.
What You Will Do- Partner with team members to understand both the business and technical challenges EDS aims to solve.
- Maintain an enterprise-wide perspective when designing, developing, and implementing solutions.
- Provide oversight, coaching, and direction to business intelligence engineers.
- Deliver regular BI team status reporting.
- Provide ongoing feedback and contribute to annual performance reviews for BI engineers.
- Lead the creation and publication of reporting and analytics best practices.
- Lead the definition of business intelligence architecture.
- Serve as the Reporting and Analytics Data Center of Excellence (COE) representative.
- Assist with scoping reporting and analytics initiatives, including defining objectives, requirements, and expected outcomes.
- Promote enterprise standards, guidelines, and best practices for reporting, analytics, and analytical applications.
- Support business lines in designing reporting and analytics architectures that meet their needs, including semantic model development.
- Assist business partners in optimizing reporting and analytics capabilities.
- Act as a liaison between business lines and the Data Engineering and Data Governance COEs.
- Communicate with clients to ensure effective development of reports and business intelligence solutions.
- Collaborate with cross-functional teams to support workflow development.
- Implement process improvements to reduce development time and support long-term strategic planning initiatives.
- High school diploma or equivalent.
- 5+ years of experience in reporting and analytics.
- 3+ years of experience with Fabric / Power BI architecture.
- Hands‑on experience developing Fabric / Power BI semantic models.
- Experience gathering requirements for reporting and analytics.
- SQL proficiency.
- Strong analytical and solution‑design skills.
- Ability to work collaboratively and build strong partnerships with cross‑functional stakeholders.
- Experience collaborating with Product Management, Project Management, and business stakeholders.
- Knowledge of semantic data concepts.
- Willingness to learn and adapt to emerging reporting and analytics technologies.
- Ability to follow and contribute to Forvis Mazars' enterprise and data architecture principles and guidelines.
- Experience with Databricks is a plus.
- Associate degree or bachelor's degree.
- 10+ years of experience in reporting and analytics.
- Colorado Minimum $111,300, Maximum $204,000
- New York City Minimum $133,600, Maximum $222,600
- New York State Minimum $133,600, Maximum $222,600
- California Minimum $122,400, Maximum $222,600
- Maryland Minimum $111,300, Maximum $204,000
- Massachusetts Minimum $122,400, Maximum $204,000
- Illinois Minimum $111,300, Maximum $204,000
- New Jersey Minimum $133,600, Maximum $222,600
- Vermont Minimum $100,200, Maximum $185,500
- Washington Minimum $111,300, Maximum $222,600
Close Date: 04/29/2026
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).