Senior Data Analyst

True Classic•Calabasas, CA

4d•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 planning outputs, and use AI to improve planning tools and processes. The role aims to ensure planning decisions rely on trustworthy data so the business holds appropriate inventory in the right locations and avoids excess inventory and stockouts. True Classic describes its roles as global and omni-channel, with accountability across product categories, countries, and sales and marketing channels. The position brings together information from multiple systems and communication platforms into a reliable planning source, checks data consistency, and audits forecasts, purchase plans, inventory transfers, and reporting weekly. The analyst identifies issues such as stale data, unit mismatches, unreconciled totals, and results inconsistent with historical data; classifies outputs as acceptable, acceptable with caveats, or not acceptable; and communicates conclusions and follow-up needs clearly. The analyst uses AI to improve and automate planning tools, reports, recurring audit checks, routine operational work, and partner-team updates. The position documents repeatable processes and partners with IT to integrate planning tools with merchandising and operating systems. It works cross-functionally with planning, merchandising, sourcing and production, warehousing and logistics partners, eCommerce, marketplaces and wholesale, and finance. The role is hybrid, based in Calabasas, California, with three days per week in the office.

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, with a personal AI workflow spanning email, chat, documents, and data tools.
Ability to independently find scattered information and explain why a source is trustworthy.
A skeptical approach to checking results against sources and identifying errors, including in polished-looking outputs.
Ability to make clear decisions about data quality and stand behind them.
Clear and concise communication, leading with the answer and stating 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 data and information from multiple systems and communication platforms into one reliable source for planning.
Keep data sources connected and consistent so teams use accurate, shared information.
Audit forecasts, purchase plans, inventory transfers, and reporting on a weekly cadence.
Identify stale data, unit mismatches, totals that do not reconcile, and results that do not fit historical patterns.
Classify each output as acceptable, acceptable with caveats, or not acceptable, and explain the rationale.
Report findings with the conclusion first, followed by what was checked and what needs attention.
Use AI to streamline, automate, and strengthen planning tools and reports.
Build recurring checks into tools so audits run automatically.
Automate routine work, including transfers, warehouse coordination, data hygiene, and updates to partner teams.
Keep planning processes documented and repeatable.
Partner with IT to integrate planning tools into 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 sales, promotion, and order data for eCommerce, marketplace, and wholesale channels.
Ensure planning numbers reconcile with the financial view.