Senior Director, Retail Analytics

INFOJob Title: Senior Director of Retail AnalyticsLocation: Los Angeles, CA (Hybrid - NOT remote eligible)Salary: $225-250k base + bonus + equityCompany 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)SnowflakeCONTACTIf you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.THE GLOBAL LEADER IN DATA & ANALYTICS RECRUITMENTHarnham Search and Selection Company Number: 05723485Harnham Search and Selection is a registered company in England and Wales. Reg no. 05723485Harnham Europe Limited Company Number: 09956940Harnham GmbH HRB: 196954Harnham B.V. KvK Number: 887060687Harnham Inc. Company FEIN: 47-2370381Registered office: 3rd Floor, Melbury House, 51 Wimbledon Hill Road, Wimbledon, SW19 7QW.2024' Harnham Search and Selection Ltd. All rights reservedPrivacy Policies & Cookies PolicyWebsite by Brand Nu and Staffing Future