Senior Data Analyst | Contract | Los Angeles
About The Position
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.
Requirements
- 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.
- Must be available to work onsite 3x a week in DTLA
- 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
Nice To Haves
- Experience with dbt or similar analytics engineering tools.
- Exposure to Python or R.
- Experience in luxury or premium retail environments.
Responsibilities
- 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.
- 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.
- Develop automated dashboards and KPI reporting frameworks.
- Support campaign, capsule, and clientele performance measurement.
- Translate analytical findings into clear business action.
- Mentor analysts and data power users.
- Act as a trusted analytics partner across commercial teams.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
