Lead the Data & Commercial Analytics function, setting vision, structure, and standards across insight delivery and decision support.
Own analytics intake, prioritization, and end-to-end delivery, ensuring alignment with strategic objectives, business value, and resource capacity.
Define and maintain KPI frameworks and performance cadences that provide consistent, executive-level visibility into commercial, digital, and operational performance.
Lead and manage a Senior Data Analyst and BI Analyst, setting clear expectations, priorities, and accountability.
Establish team standards and best practices for analytics, reporting, data governance, and stakeholder engagement.
Define goals, performance metrics, and success criteria aligned with organizational and departmental objectives.
Lead high-impact commercial analyses that inform strategic decision-making.
Drive client-focused analytics and experimentation to optimize digital experiences and commercial performance across luxury touchpoints.
Design, develop, and lead the evolution of scalable data models and executive-ready dashboards that enable trusted insights across digital, retail, and operations.
Pilot and implement AI-assisted analytics solutions in a responsible, secure, and brand-appropriate manner, ensuring transparency, governance, and measurable business value.
Serve as the primary analytics partner to business and IT stakeholders, translating complex data into clear, actionable insights.
Deliver executive-ready insights and narratives that support strategic decision-making while upholding brand standards and data integrity.

Requirements

7+ years of experience in analytics, business intelligence, or data roles, with demonstrated leadership or team-lead exposure.
Advanced proficiency in SQL and modern BI tools, with the ability to design scalable, executive-ready analytics solutions.
Strong commercial acumen, with experience translating data into insights that drive revenue, performance, and decision-making.
Preferred: Experience in luxury, premium, or fashion retail environments.
Working knowledge of Python or R for analysis, automation, or advanced analytics use cases.
Experience with client, customer, or consumer analytics across digital or omnichannel touchpoints.

Benefits

Bonus eligible
Full package health benefits
401(k)
Paid vacation

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLbusiness intelligencedata analysisdata governanceKPI frameworksdata modelingAI-assisted analyticsPythonRanalytics solutions

Soft Skills

leadershipteam managementstrategic decision-makingstakeholder engagementcommunicationaccountabilitycommercial acumenprioritizationinsight deliveryperformance metrics