Senior Commercial Analytics Engineer - Business Decision Intelligence

The Senior Analytics Analyst leads the design and delivery of governed semantic models, advanced dashboards, and scalable self-service BI solutions for commercial stakeholders. This role occupies a lead technical position within the analytics team, directing semantic layer architecture decisions, establishing BI standards, and mentoring junior analysts.

Responsibilities

• Oversee the development of governed semantic layer models aligned to the enterprise business taxonomy, defined metrics, and data governance standards.
• Establish and enforce semantic layer design patterns, naming conventions, and object hierarchies to ensure consistent metric consumption across BI and analytics tools.
• Collaborate with Commercial Data Product Strategy and Analytics Engineering teams to surface physical data models through the semantic layer.
• Maintain semantic layer health by resolving conflicts, deprecating legacy objects, and managing versioned releases.
• Design and deliver sophisticated, 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.
• Set and enforce dashboard design standards, template libraries, and reusable components 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 addressed with shared, governed assets.
• Lead requirements gathering sessions with senior commercial stakeholders, translating complex analytical needs into scalable BI and semantic layer solutions.
• Act as the 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 and AI teams to ensure semantic layer objects are available and consistent for use in 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.
• Collaborate with Decision Science and 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 through 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 within 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 such as Snowflake and Databricks.
• Proven ability to translate complex business requirements into scalable BI and reporting solutions.
• Solid understanding of commercial data domains including 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

Primary Work Location

USA NJ - Franklin Lakes (onsite)

Additional Locations

• USA CA - San Diego Bldg A&B
• USA IL - Vernon Hills

Work Shift

BD offers a comprehensive Total Rewards program designed to attract, develop, and retain top talent through competitive compensation and benefits, with details available on the company career site under Our Commitment to You.

Salary Range Information

USD 120,300.00 – 192,400.00 per year