Senior Manager, Analytics & Insights

True Classic•Calabasas, CA

3h•Hybrid

About The Position

True Classic is hiring a Senior Manager of Analytics & Insights to lead our analytics function end-to-end, spanning data infrastructure, analytics engineering, and strategic insight generation. In this role you will define and execute our analytics and data strategy, build scalable and trustworthy data systems, and translate complex analyses into actionable business recommendations to drive smarter, faster decision-making across Finance, Marketing, E-Commerce, Operations, and all channel owners. 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.

Requirements

6+ years of experience in analytics, data engineering, or a related field within DTC, e-commerce, or omnichannel retail
Deep familiarity with performance metrics including LTV, CAC, AOV, sell-through rate, return rates, and inventory performance
Strong command of SQL and experience working with large, complex datasets
Hands-on experience with modern data stack tools such as dbt, Looker, Tableau, Snowflake, BigQuery, or similar
Proven ability to lead cross-functional analytics initiatives and communicate findings clearly to executive stakeholders

Nice To Haves

Experience building or scaling analytics engineering practices, including semantic layers and data modeling frameworks
Expertise in data quality, governance, and observability systems
Strong background in experimentation design and A/B testing methodology
Experience partnering directly with executive leadership on strategic initiatives
Ability to balance speed and rigor in a fast-paced, high-growth environment

Responsibilities

Define and execute the company-wide analytics and data strategy aligned to business goals
Partner with senior leadership to identify key business questions and design analytical frameworks to answer them
Serve as the internal authority on data best practices, governance, and tooling
Build and champion a culture of data literacy and insight-driven decision-making
Oversee development of dashboards, reporting, and self-service analytics tools across Merchandising, Marketing, E-Commerce, and Operations
Lead insight generation across customer acquisition & retention, site and store performance, product & category performance, and promotional effectiveness
Champion experimentation and A/B testing practices across digital channels
Translate complex analyses into clear, actionable recommendations for executive and non-technical audiences
Own the semantic layer and data models to ensure clean, documented, and trustworthy reporting
Oversee design, development, and maintenance of data pipelines and transformations (e.g., dbt, Airflow)
Ensure strong data quality, observability, and governance standards across all data assets
Drive analytics engineering best practices including version control, testing, documentation, and modular design
Ensure analytics infrastructure directly supports DTC, retail, and omnichannel performance optimization
Deliver unified reporting that provides leadership with a clear view of customer and commercial performance
Partner with Engineering and Platform teams on cloud warehouse strategy and scalability
Align analytics roadmap with financial, marketing, and growth strategy
Align reporting and forecasting frameworks with financial planning and performance measurement
Support customer acquisition, retention, CAC/LTV modeling, and experimentation strategy
Optimize site performance, conversion, merchandising effectiveness, and promotional strategy
Improve inventory performance, sell-through, return rates, and demand planning decisions
Collaborate on cloud data warehouse strategy, data infrastructure, and tooling scalability