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Data & Commercial Analytics Manager
AMIRI
Los Angeles, USA
Full-time
Senior · 7+ years experience
Hybrid
USD 125000-140000 yearly / year
Discovered 1 weeks ago
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- 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.
- 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.
- 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.
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