Senior Data Analyst | Contract | Los Angeles

Senior Data Analyst | Contract | Los Angeles

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: Own client lifecycle and segmentation analysis: who's buying, who's coming back, who quietly stopped, and what that should change about the next collection.

Analyze assortment, sell-through, and margin down to the boutique level.

Own the dbt layer: the models behind the boutique, ecommerce, and wholesale data marts, the tests that catch problems before stakeholders do, and the KPI definitions everyone else builds on top of.

Design and measure test-and-learn programs across campaigns, capsules, and clienteling.

Build Tableau dashboards for recurring KPI reporting and set up automated distribution through Power Automate.

Present findings to senior leadership with a recommendation attached, not a dashboard link.

Chase down data inconsistencies and slow queries as you find them, which you will.

Field questions from other analysts and help level them up.

Required Qualifications: 5+ years in analytics or analytics engineering.

Advanced SQL. Experience in a modern cloud data warehouse. Redshift, Snowflake, BigQuery, Databricks, any of them.

dbt, or a strong equivalent in another transformation framework.

Familiarity with retail KPIs: sell-through, full-price ratio, AUR, repeat purchase rate.

Clear writing. A lot of this work lands in front of executives, and the analysis is only as good as the explanation.

Discretion with revenue, margin, and client data.

Nice to Have: AWS or GCP. Our environment runs on AWS, but you won't need to work in it directly.

Dagster, Airbyte, or similar orchestration and ingestion tools.

Python or R. Luxury or premium retail background.

Tech Holding is hiring for this role on CareerPlace.

Apply on the company website through Tech Holding.

Imported from employer careers page. Source ref: 43b82bb606ff.