Senior Data Analyst (Contract)

The Role:

We are seeking a Senior Data Analyst, for a project based assignment, to deliver high-quality analytics and insights that deepen the organization’s understanding of clients, collections, and commercial performance across boutiques, ecommerce, and wholesale channels. This is a hybrid role combining approximately 60% data analytics and 40% analytics-focused data engineering. You will build analytics-ready datasets and semantic models while leading deep commercial and client analysis, performance storytelling, and structured test-and-learn measurement. Reporting to the Manager, Data & Commercial Analytics, this role serves as a critical bridge between raw enterprise data and business decision-making, ensuring leaders operate with trusted metrics, reliable datasets, and actionable insights.

Key Responsibilities:

Client & Commercial Analytics (60%)

• Lead client lifecycle, segmentation, and performance analysis.
• Deliver assortment, sell-through, margin, and boutique-level insights.
• Provide executive-ready narratives and actionable recommendations.
• Support structured test-and-learn measurement initiatives.

Analytics Engineering & Data Modeling (40%)

• Build and maintain analytics-ready datasets and data marts.
• Maintain semantic models and KPI definitions.
• Develop SQL transformations and implement data quality checks.
• Improve data consistency, performance, and reliability.

Performance Reporting & Measurement

• Develop automated dashboards and KPI reporting frameworks.
• Support campaign, capsule, and clientele performance measurement.

Stakeholder Partnership & Enablement

• Translate analytical findings into clear business action.
• Mentor analysts and data power users.
• Act as a trusted analytics partner across commercial teams.

Required Qualifications:

• 5–8 years of experience in analytics or analytics engineering roles.
• Advanced SQL proficiency.
• Experience working with modern data warehouse environments.
• Experience working in AWS or GCP environments.
• Experience with BI tooling and retail KPI frameworks.
• Strong commercial acumen and performance storytelling skills
• High discretion and sound judgment.
• Polished and concise communication.
• Comfortable balancing analytical rigor with creative nuance.
• Pragmatic and accountable.
• Strong ability to translate data into commercial decisions.

Nice to Have:

• Experience with dbt or similar analytics engineering tools.
• Exposure to Python or R.
• Experience in luxury or premium retail environments.

Location:

• Must be available to work onsite 4x a week in DTLA

Employment type:

• Corp to Corp (C2C) preferred or contract

*Applicants must be authorized to work for ANY employer in the US. We are unable to sponsor or take over sponsorship of an employment Visa at this time