Data & Analytics Engineer

About True Classic We are the modern classic, bringing the perfect fit and feel to timeless styles made accessible to the everyday man. Our philosophy has always been simple – we started out by just listening to what guys wanted and needed in a t-shirt. Our collection of everyday essentials is crafted with that same ethos and our customers in the driver’s seat. From ultra-comfortable denim (yes, we said comfortable and denim in the same sentence) to that first perfect fitting t-shirt that put us on the map, we design into premium quality fabrics made to last. But it’s about more than just the guys who wear our clothes – we donate thousands of shirts monthly to local communities in need and partner with the Tiny House Project to help solve rising homelessness within the Veteran community. In our journey to help our community look good and feel good, we want to do some good along the way. Sound like your kind of thing? Check out our open positions and join the crew: https://job-boards.greenhouse.io/trueclassicteesllc

True Classic

Look Good. Feel Good.

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T

trueclassic.com

51-200 employees

Retail Apparel and Fashion

Los Angeles, California

2019

Privately Held

18k LinkedIn followers

• Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders
• Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&L
• Contribute to predictive models for demand forecasting, inventory planning, and revenue projections
• Build and maintain the serving layer that the AI team queries — clean, modeled BigQuery tables in place of direct API calls
• Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development
• Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools
• Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring
• Work with finance to ensure financial data structures support forecasting and P&L reporting needs
• Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications
• Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations

Required

• 4+ years of experience in data engineering or analytics engineering
• Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation
• Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development
• Strong SQL skills including joins, window functions, and CTEs
• Python proficiency for pipeline scripting, API integrations, and light modeling
• Familiarity with statistical modeling and predictive analytics (regression, time series)
• Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations
• Proficiency with AI coding tools — daily use expected

Preferred

• NetSuite or ERP experience
• Daasity, Shopify/Amazon data
• Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale),
• Omni/Looker, GitHub-based workflows
• This role is on-site (5x week in office) based in Calabasas, CA.

• Competitive Salary + bonus
• Unlimited PTO and sick time
• Company-paid medical, dental, and vision insurance
• $100/month Health & Wellness stipend
• Free Employee Assistance Program (EAP)
• Work & Growth Support
• $100/month Personal Workspace/Office stipend
• $1,000/year True Classic merchandise allowance
• 401(k) plan with 3% company match