Senior Data Analyst

True Classic

Calabasas (CA)

Hybrid

USD 110,000 - 160,000

Full time

3 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Health insurance

Wellness stipend ($100/mo)

Unlimited PTO

401(k) with 3% match

Merchandise allowance ($1,000/yr)

Job summary

True Classic is seeking a Senior Data Analyst (AI-Native) to source and validate data for forecasting and inventory planning, audit what the tools produce, and use AI to streamline processes across teams.

You will collaborate with Planning, Merchandising, Sourcing & Production, Warehousing, Logistics, eCommerce, Marketplaces and Finance to ensure trusted data, automated checks, and scalable analytics. Hybrid role based in Calabasas, CA with global scope.

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.

Responsibilities

Source and validate data for forecasting and inventory planning.
Audit forecasts, purchase plans, inventory transfers and reporting weekly.
Rate outputs 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.
Use AI to streamline, automate and strengthen planning tools and reports.
Build recurring checks so audits run automatically going forward.
Automate transfers, warehouse coordination and data hygiene.

Skills

Data analysis

AI tools

Data validation

Independent thinker

Critical thinking

Communication

Tools

Python

SQL

Claude

NetSuite

Shopify

Job description

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