Senior Commercial Analytics Engineer - Business Decision Intelligence

BD is seeking a Senior Commercial Analytics Engineer in Business Decision Intelligence to shape the analytics backbone used by commercial stakeholders. This onsite role at our Franklin Lakes, NJ campus places you at the technical forefront of governance, semantic modeling, and self-serve analytics, guiding BI standards and mentoring junior analysts along the way.

Responsibilities

• Lead design and implementation of governed semantic layer models aligned to enterprise taxonomy, metric definitions, and data governance standards.
• Define semantic layer design patterns, naming conventions, and object hierarchies to enable consistent metric consumption across BI and analytics tools.
• Partner with Commercial Data Product Strategy and Analytics Engineering to surface physical data models through the semantic layer.
• Maintain semantic layer health, resolve conflicts, deprecate legacy objects, and manage version-controlled releases.
• Design and deliver advanced, scalable BI dashboards and user interfaces that serve as authoritative commercial reporting surfaces for senior stakeholders.
• Apply UX/UI design principles to create intuitive, performant, and accessible analytics interfaces that drive self-service adoption.
• Establish and enforce dashboard design standards, template libraries, and component reuse patterns across the analytics team.
• Lead the evaluation and adoption of new BI platform capabilities to improve user experience and report performance.
• Reduce bespoke report requests by designing modular, reusable analytics assets that empower business users to self-serve.
• Lead enablement workshops, training sessions, and office hours to build data literacy and BI platform proficiency across commercial user communities.
• Define and track self-service adoption metrics, using insights to prioritize semantic layer and dashboard investments.
• Collaborate with global and regional stakeholders to identify common analytics needs that can be met through shared, governed assets.
• Lead requirements gathering sessions with senior commercial stakeholders, translating complex analytical needs into scalable BI and semantic layer solutions.
• Act as a primary analytics liaison between commercial business teams, Data Product Strategy, and Analytics Engineering to align reporting needs with data model capabilities.
• Partner with Decision Science & AI teams to ensure semantic layer objects are available and consistent for model explainability and output dashboards.
• Represent the analytics team in cross-functional data governance forums, contributing to metric standardization and data product prioritization.
• Lead the design and delivery of agentic AI workflows that consume semantic layer assets to automate commercial reporting, anomaly detection, and insight generation.
• Define standards and best practices for AI-assisted analytics development, including prompt engineering patterns, output validation frameworks, and human-in-the-loop review processes.
• Partner with Decision Science & AI teams to curate and maintain high-quality training datasets derived from governed BI assets and commercial data products.
• Evaluate and pilot emerging agentic AI tooling and LLM-powered analytics capabilities, recommending adoption pathways aligned to the analytics platform roadmap.
• Mentor JG3 analysts in agentic AI development practices, reviewing AI workflow designs and training data contributions for quality and compliance.
• Establish governance controls and documentation standards for agentic AI components embedded in commercial analytics workflows.
• Mentor JG3 Analytics Analysts, conducting peer reviews of dashboard builds and semantic layer objects to ensure quality and adherence to standards.
• Contribute to the development and documentation of team BI standards, style guides, and delivery frameworks.
• Onboard and support new team members on tooling, data models, and analytics engineering patterns.
• Identify opportunities to improve team workflows, tooling, and delivery cadences to increase speed-to-insight.

Requirements

• Bachelor's degree in Business Analytics, Information Systems, Computer Science, Data Science, or a related field. Advanced degree preferred.
• 4+ years of experience in analytics, business intelligence, or data analysis in an enterprise environment.
• Advanced proficiency in at least one enterprise BI platform (Power BI, Tableau, Looker) including semantic or data modeling layers.
• Demonstrated experience designing governed semantic models, calculated metrics, and dimension hierarchies for multi-team consumption.
• Strong SQL skills and familiarity with cloud data platforms (Snowflake, Databricks).
• Proven ability to translate complex business requirements into scalable BI and reporting solutions.
• Strong understanding of commercial data domains: sales pipeline, revenue, forecasting, territory/account planning, and pricing.
• Experience driving self-service analytics adoption and building analytics enablement programs.

Technologies

• Power BI
• Tableau
• Looker
• LookML
• AtScale
• dbt Metrics
• Microsoft Fabric semantic models
• Snowflake
• Databricks

Location & Work Arrangement

Primary location: USA, NJ - Franklin Lakes (onsite)

• Additional locations: USA, CA - San Diego Building A&B
• USA, IL - Vernon Hills

Compensation

Salary range: USD 120,300 - 192,400 per year

Education & Experience at a Glance

• Bachelor's degree required; advanced degree preferred
• Minimum 4 years of enterprise analytics/BI experience

BD values a comprehensive Total Rewards program that supports its associates and fosters a performance-based culture, with compensation and benefits designed to attract and retain top talent. Details are available on the company career site under Our Commitment to You.