Senior Director, Retail Analytics

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Los Angeles / $225000 - $250000 annum

INFO

Salary
SALARY:

$225000 - $250000

Location

LOCATION

Los Angeles

Job Type
JOB TYPE

Permanent

Job Title: Senior Director of Retail Analytics

Location: Los Angeles, CA (Hybrid - NOT remote eligible)

Salary: $225-250k base + bonus + equity

Company Overview:

A solutions-based apparel company that has experienced rapid growth and profitability since its founding in 2016. This direct-to-consumer e-commerce business is expanding into retail, with five stores currently open and plans for further growth. With over $1 billion in annual sales and 250-300 employees, the company partners with top-tier wholesalers and is driven by a mission to make customers feel their best.

Team Overview:

The Analytics team is expanding to support the growing business. Reporting to the SVP of Data, the Senior Director of Analytics will serve as the second-in-command, supporting senior stakeholders such as the SVP of Planning and VP of E-Commerce. The team currently consists of three Analysts, and additional hires are anticipated this year.

Role Overview:

As the Senior Director of Analytics, you will lead strategic initiatives that use data to drive decision-making and optimize business performance. You will tackle high-impact projects like demand forecasting, CLTV analysis, and retail store optimization. A strong understanding of how retail businesses operate, combined with the ability to apply data models in real-world scenarios, is essential.

Key Responsibilities:

  • Stakeholder Engagement: Collaborate with business leaders to develop data strategies that support company objectives.
  • Team Leadership: Mentor and develop a growing analytics team, fostering a high-performing, data-driven culture.
  • Hands-on Analytics: Lead key projects by writing SQL, performing statistical analysis, and presenting actionable insights.
  • Operationalize Data Solutions: Work with Data Engineering and Data Science teams to translate models into production-ready applications, enhancing business processes.

Key Projects:

  • Demand Forecasting: Address the challenge of aligning inventory with high customer demand.
  • Customer Behavior Analysis: Improve understanding of customer behavior to enhance CLTV and drive strategic decisions.
  • Retail Store Optimization: Analyze and optimize the performance of retail stores to improve efficiency and profitability.

Candidate Profile:

  • 5-7 years of experience, including 2-3 years in a retail or fashion environment.
  • Experience applying data science models within retail/e-commerce.
  • Strong skills in SQL and proficiency in Python.
  • Proven experience with predictive and descriptive modeling.
  • Ability to translate complex data into clear insights for non-technical stakeholders, driving business impact.
  • A curious and proactive approach to working with vague datasets and uncovering actionable insights.

Tech Stack:

  • Looker (open to other BI tools)
  • Snowflake

CONTACT

Joshua Poore

Associate Director

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