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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst | Contract | Los Angeles - **Company:** Tech Inc - **Location:** Los Angeles, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, BigQuery, Information Engineering, Data Mart, Data Warehousing, Python (Programming Language), Microsoft Power Automate, Snowflake, Data Analytics, Data Inconsistencies, Amazon Redshift, Databricks - **Published:** July 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=933c52f14d34334e ## About the Role * 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., * 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 ## Description 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., * 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)