Senior Data Analyst

Posted 4 Days Ago
Calabasas, CA, USA
Hybrid
Senior level
eCommerce • Fashion • Retail
The Role
The Senior Data Analyst will source, validate, and reconcile data supporting forecasting, purchasing, inventory planning, and reporting. Responsibilities include auditing forecasts and operational outputs, identifying data quality issues, rating results, automating recurring checks and workflows with AI, documenting planning processes, and integrating tools with merchandising and operating systems. The role collaborates with planning, merchandising, sourcing, logistics, eCommerce, wholesale, and finance teams to deliver reliable, decision-ready data.
Summary Generated by Built In

True Classic is hiring a Senior Data Analyst (AI-Native) to source and validate the data that feeds our forecasting and inventory planning, audit what those tools produce, and use AI to make them leaner over time. The goal is planning decisions made on data we can trust, so we hold the right inventory in the right place and avoid both excess and stockouts.

All of True Classic's roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and different sales & marketing channels. This means you will have the opportunity to impact our operations worldwide, ensuring a cohesive strategy that aligns with our overall business objectives and drives success across various markets and platforms.

Areas of Accountability

Input Sourcing & Data Quality
  • Bring together data and information spread across multiple systems and communication platforms into one reliable source for planning.

  • Make sure those sources stay connected and consistent, so every team works from the same accurate data.

Output Audit & Approval
  • Audit forecasts, purchase plans, inventory transfers and reporting against their sources on a weekly cadence.

  • Catch stale data, unit mismatches, totals that don't reconcile and results that don't fit history.

  • Rate each output as acceptable, acceptable with caveats, or not acceptable, and explain why.

  • Report findings with the conclusion first, followed by what was checked and what needs attention.

Tool Improvement & Automation
  • Use AI to streamline, automate and strengthen planning tools and reports.

  • Build recurring checks into the tools so audits run automatically going forward.

  • Automate routine, repetitive work such as transfers, warehouse coordination and data hygiene.

  • Automate routine updates to partner teams.

  • Keep planning processes documented and repeatable.

  • Partner with IT to integrate the planning tools into the company's merchandising and operating systems.

Cross Functional Collaboration
  • Planning: Deliver audited, decision-ready data for purchasing, allocation and inventory decisions.

  • Merchandising: Validate product, assortment and pricing data.

  • Sourcing & Production: Confirm purchase order, lead-time and vendor data.

  • Warehousing & Logistics Partners: Reconcile inventory, receipts and transfers across warehouses.

  • eCommerce, Marketplaces & Wholesale: Validate sales, promotion and order data for each channel.

  • Finance: Make sure planning numbers reconcile with the financial view.

Qualifications
  • 4+ years in data analysis, audit or QA, validating and reconciling data across multiple sources.

  • Expert, hands-on use of AI tools to find, clean, audit and improve data, with your own AI workflow across email, chat, documents and data tools.

  • Self-sufficient: finds scattered information without direction and can explain why a source is trustworthy.

  • Skeptical by default: checks results against source and spots what looks wrong, even when it looks polished.

  • Decisive: makes a clear call on data quality and stands behind it.

  • Clear, concise communicator who leads with the answer and states assumptions.

  • Comfortable working with large operational data sets.

  • Coding experience (Python, SQL) is not required.

Preferred Qualifications
  • Experience with Claude is highly preferred.

  • Experience in planning, inventory, supply chain, retail or e-commerce.

  • AI workflows or automations you built yourself and can walk through live.

  • Experience with NetSuite, Shopify or warehouse and 3PL data.

  • Familiarity with Python or SQL.

Workplace Arrangement

Hybrid (3x per week in office) based in Calabasas, CA.

Compensation and Benefits

Compensation
  • Competitive salary

  • Performance bonus

  • 401(k) plan with 3% company match

Time Off
  • Unlimited PTO and sick time

Health and Wellness
  • Company-paid medical, dental, and vision insurance

  • $100 per month Health and Wellness stipend

  • Free Employee Assistance Program

Work and Growth Support
  • $100 per month Personal Workspace/Office stipend

Perks
  • $1,000 per year True Classic merchandise allowance

Skills Required

  • 4+ years of experience in data analysis, audit, or quality assurance, validating and reconciling data across multiple sources
  • Expert hands-on use of AI tools to find, clean, audit, and improve data
  • Ability to develop and use an AI workflow across email, chat, documents, and data tools
  • Ability to independently find scattered information and assess source trustworthiness
  • Strong data skepticism and ability to identify inaccurate or inconsistent results
  • Ability to make decisive data-quality judgments and explain conclusions
  • Clear and concise communication, including stating conclusions first and documenting assumptions
  • Comfort working with large operational datasets
  • Experience with Claude
  • Experience in planning, inventory, supply chain, retail, or e-commerce
  • Experience building AI workflows or automations and explaining them live
  • Experience with NetSuite, Shopify, or warehouse and third-party logistics data
  • Familiarity with Python or SQL
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The Company
HQ: Los Angeles, CA
125 Employees
Year Founded: 2019

What We Do

True Classic is a direct-to-consumer apparel company focused on premium men’s clothing, especially soft, fitted T-shirts and versatile everyday basics. It aims to make fit, comfort, quality, and confidence accessible, designing products for different men’s body types. The brand sells primarily online while expanding through owned stores and retail partners, and its mission emphasizes helping people look and feel their best.

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