Hybrid Senior Data Analyst - Analytics Engineer

Tech Ventures, LLC; Los Angeles (CA); Hybrid; USD 82,656 - 130,872; Full time

Job summary

Tech Holding in DTLA is seeking a Senior Data Analyst for a project-based assignment. Hybrid role with approximately 60% data analytics and 40% analytics-focused data engineering.

Build analytics-ready datasets and semantic models while leading client and commercial analyses across boutiques, ecommerce, and wholesale channels. Reporting to the Manager, Data & Commercial Analytics, you will create trusted metrics and actionable insights for senior leadership, ensuring reliable datasets and

Qualifications

• 5+ years in analytics or analytics engineering.
• Advanced SQL skills and experience with a modern cloud data warehouse.
• dbt or strong equivalent in another transformation framework.
• Familiarity with retail KPIs: sell-through, AUR, repeat purchase rate.
• Clear writing; able to explain analyses to executives.
• Discretion with revenue, margin, and client data.

Responsibilities

• Own client lifecycle and segmentation analysis: who's buying, who's coming back, who 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: models, tests, and KPI definitions.
• Design and measure test-and-learn programs across campaigns, capsules, and clienteling.
• Build Tableau dashboards for recurring KPI reporting and automate distribution via Power Automate.
• Present findings to senior leadership with a recommendation attached, not just a dashboard link.
• Chase data inconsistencies and slow queries, and assist other analysts as needed.

Skills

Advanced SQL

Cloud data warehouse experience

dbt

Retail KPIs

Clear written communication

Data governance/Discretion

Tools

Tableau

Power Automate

AWS/GCP basics

Python or R (optional)

Job description

Tech Holding in DTLA is seeking a Senior Data Analyst for a project-based assignment. Hybrid role with approximately 60% data analytics and 40% analytics-focused data engineering.

Build analytics-ready datasets and semantic models while leading client and commercial analyses across boutiques, ecommerce, and wholesale channels. Reporting to the Manager, Data & Commercial Analytics, you will create trusted metrics and actionable insights for senior leadership, ensuring reliable datasets and