Lead, Enterprise Commercial Analytics & Data Governance

BD; Vernon Hills (IL); On-site; USD 154,100 - 246,600; Full time

Job summary

BD is seeking a Principal Analytics Analyst to lead the enterprise analytics semantic layer and BI user experience. You will shape global governance, drive self-service analytics, and guide cross‑functional teams across Regions and Business Units.

You will define standards for dashboards, collaborate with IT and Data Engineering, mentor junior analysts, and influence AI integration and data governance initiatives.

Qualifications

• 6+ years of analytics, BI, or data analysis with increasing scope and seniority.
• Experience defining and governing enterprise metric frameworks and glossaries.
• Proven track record delivering enterprise-scale self-service analytics programs across regions.
• Strong SQL skills and cloud data platform experience (Snowflake, BigQuery, Databricks).
• Thought leadership in analytics platform strategy and BI architecture direction.

Responsibilities

• Define and drive semantic layer strategy for commercial analytics globally.
• Lead self-service analytics enablement across Regions and Business Units.
• Design UX/UI standards for dashboards and executive reporting surfaces.
• Govern metric definitions, data lineage, and KPI framework.
• Mentor junior analysts and lead cross-functional analytics initiatives.

Skills

Analytics

BI

SQL

Executive communication

Data governance

Cross-functional leadership

Education

Bachelor's degree in Business Analytics, Information Systems, Computer Science, Data Science, or related field

Advanced degree preferred

Tools

LookML/Looker

AtScale

dbt Metrics

Power BI Semantic Models

Microsoft Fabric

Job description

BD is seeking a Principal Analytics Analyst to lead the enterprise analytics semantic layer and BI user experience. You will shape global governance, drive self-service analytics, and guide cross‑functional teams across Regions and Business Units.

You will define standards for dashboards, collaborate with IT and Data Engineering, mentor junior analysts, and influence AI integration and data governance initiatives.