Define and govern enterprise BI architecture and data models by designing dimensional models, establishing conformed dimensions and standardized KPI logic, architecting a governed semantic layer, and enforcing development lifecycle standards that ensure scalable, reliable, and well-documented analytics solutions
Lead and continuously develop a high-performing enterprise analytics team by mentoring and coaching BI analysts, setting clear performance expectations, prioritizing intake aligned to enterprise objectives, and strengthening technical capability and business context across the team
Integrate ERP and operational systems into a unified data environment by designing and implementing ELT processes, reconciling transactional data to published financial reporting, establishing historical tracking, and safeguarding data quality and integrity across core platforms
Design and deliver executive and operational analytics that drive performance visibility by developing dashboards and analytical models that provide visibility into margin performance, working capital, inventory, throughput, and cost drivers, while automating recurring management and board reporting
Establish and govern standardized KPIs and reporting definitions across business units by defining and maintaining a governed KPI dictionary, eliminating duplicate or shadow reporting, and embedding consistent measurement logic across business units
Strengthen enterprise data governance, integrity, and performance transparency standards by establishing coding standards, documentation protocols, validation controls, and review processes that increase data reliability, reduce manual reporting, and improve auditability
Provide structured financial and operational decision-support via scalable analytics solutions by translating business requirements into scalable analytics solutions, partnering with Finance, Operations, and IT leadership, and providing structured analysis that supports performance management and transformation initiatives
Advance scalable, acquisition-ready analytics infrastructure supporting enterprise growth by designing architecture that supports acquisitions, system modernization, and evolving reporting needs while balancing governance discipline with practical delivery speed

Requirements

8–12 years of progressive experience in business intelligence, analytics, or data architecture roles
2+ years of team leadership responsibility
BA/BS in Information Systems, Computer Science, Business Analytics, Engineering, or related field, or equivalency; advanced degree preferred
Advanced SQL and data modeling expertise
Experience with ERP-integrated reporting environments; JD Edwards E1 preferred
Experience with data warehousing platforms (e.g., Snowflake, Azure Synapse)
Power BI or comparable enterprise visualization tools
Demonstrated experience integrating ERP and operational data into governed reporting environments
Strong working knowledge of financial statements and operational performance metrics
Demonstrated analytical rigor and architectural discipline
Strong executive communication capability
Ability to balance governance with speed in mid-market environments
Comfort operating hands-on without large supporting infrastructure

Benefits

Health Care Plan (Medical, Dental & Vision) - effective date of hire
Retirement Plan (401K)
Life Insurance (Basic, Voluntary & AD&D)
Generous Paid Time Off and Public Holidays
Short-Term and Long-Term Disability
Free uniforms and footwear
Training & Development
Tuition Reimbursement
Wellness Resources

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

business intelligencedata architecturedata modelingadvanced SQLdata warehousingELT processesanalytics solutionsKPI definitionfinancial reportingoperational metrics

Soft Skills

team leadershipmentoringcoachingperformance managementcommunicationanalytical rigorarchitectural disciplinedecision-supportcollaborationadaptability