Principal Analytics Engineer – Business Decision Intelligence

Principal Commercial Analytics Engineer driving enterprise strategy and user experience for commercial analytics at BD. Leading cross-functional initiatives for metric governance and self-service analytics.

Posted 7/4/2026full-timeFranklin Lakes • California, Illinois, New Jersey • 🇺🇸 United StatesLead💰 $154,100 - $246,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in enterprise semantic layer design and governance, with advanced SQL skills and a strong understanding of cloud data platforms. Proven ability to lead strategic initiatives in commercial analytics and influence stakeholders through effective communication.

Highest-signal resume keywords

Enterprise Semantic Layer DesignAdvanced SQL SkillsCloud Data PlatformsBusiness IntelligenceExecutive Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Business AnalyticsData AnalysisAnalytics StrategyData GovernanceUX/UI Design PrinciplesAgentic AI IntegrationSelf-Service AnalyticsLookML/LookerPower BI Semantic ModelsDbt Metrics

Soft Skills

Stakeholder InfluenceStrategic Leadership

Tools & Technologies

SnowflakeBigQueryDatabricksMicrosoft Fabric

Tech Stack

Tools & technologies

BigQueryCloudSQL

About the role

Key responsibilities & impact

Define and drive the enterprise semantic layer strategy for commercial analytics
Own the global self-service analytics strategy
Define UX/UI standards and design principles for the commercial analytics interface
Partner with Commercial Data Product Strategy to co-own the enterprise business glossary
Define and drive the enterprise strategy for agentic AI integration within the commercial analytics platform
Provide strategic technical leadership across the analytics team

Requirements

What you’ll need

Bachelor's degree in Business Analytics, Information Systems, Computer Science, Data Science, or a related field required
Advanced degree strongly preferred
6+ years of progressive experience in analytics, business intelligence, or data analysis
Deep expertise in enterprise semantic layer design and governance across one or more platforms (e.g., LookML/Looker, AtScale, dbt Metrics, Power BI Semantic Models, Microsoft Fabric)
Advanced SQL skills and strong working knowledge of cloud data platforms (e.g., Snowflake, BigQuery, Databricks)
Strong executive communication and stakeholder influence skills

Benefits

Comp & perks

Comprehensive Total Rewards program
Reward and recognition opportunities that promote a performance-based culture
Yearly salary review to ensure fair and competitive pay
Flexible work arrangements