Senior Data Analyst

True Classic•Calabasas, CA

2d•Hybrid

About The Position

True Classic is hiring a Senior Data Analyst (AI-Native) to source and validate data used in forecasting and inventory planning, audit the outputs of planning tools, and use AI to improve and streamline those tools. The role aims to ensure planning decisions rely on trustworthy data so the company can maintain appropriate inventory across locations and avoid excess stock and stockouts. True Classic’s roles are global and omni-channel, with accountability across product categories, countries, and sales and marketing channels. This position works across planning, merchandising, sourcing and production, warehouse and logistics partners, eCommerce, marketplaces, wholesale, finance, and IT. The position is hybrid, with three days per week in the office, based in Calabasas, California.

Requirements

At least 4 years of experience 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, including a personal AI workflow across email, chat, documents, and data tools.
Ability to find scattered information independently and explain why a source is trustworthy.
A skeptical approach to checking results against sources and identifying errors, even when results appear polished.
Ability to make clear, decisive judgments about data quality and stand behind them.
Clear, concise communication that leads with the answer and states assumptions.
Comfort working with large operational data sets.

Nice To Haves

Experience with Claude is highly preferred.
Experience in planning, inventory, supply chain, retail, or e-commerce.
AI workflows or automations built independently and demonstrable live.
Experience with NetSuite, Shopify, or warehouse and 3PL data.
Familiarity with Python or SQL.

Responsibilities

Bring together information spread across systems and communication platforms into a reliable source for planning.
Keep data sources connected and consistent so teams use accurate data.
Audit forecasts, purchase plans, inventory transfers, and reporting against their sources weekly.
Identify stale data, unit mismatches, unreconciled totals, and results inconsistent with historical data.
Rate outputs as acceptable, acceptable with caveats, or not acceptable, and explain the reasoning.
Report findings with the conclusion first, followed by checks performed and issues needing attention.
Use AI to streamline, automate, and strengthen planning tools and reports.
Build recurring checks into tools so audits can run automatically.
Automate routine work, including transfers, warehouse coordination, data hygiene, and partner-team updates.
Document planning processes and keep them repeatable.
Partner with IT to integrate planning tools with merchandising and operating systems.
Deliver audited, decision-ready data for purchasing, allocation, and inventory decisions.
Validate product, assortment, and pricing data with Merchandising.
Confirm purchase order, lead-time, and vendor data with Sourcing and Production.
Reconcile inventory, receipts, and transfers across warehouses with warehousing and logistics partners.
Validate channel sales, promotion, and order data for eCommerce, marketplaces, and wholesale.
Ensure planning numbers reconcile with Finance’s financial view.