ROLE OVERVIEW As a Senior Data Analyst, you will be a key, high-impact technical driver, responsible for turning complex data into actionable strategies across the organization. This role is ideal for a technically adept and highly autonomous professional who is ready to independently own and execute sophisticated data projects from inception to delivery.
You will master the full analytics lifecycle, operating with minimal supervision: from executing deep-dive exploratory analysis and designing executive-ready data visualizations, to applying advanced skills in SQL and Python to design, build, and productionize robust Machine Learning (ML) models. You must be a proven self-starter with expert analytical and statistical capabilities, capable of translating complex, technical findings into clear, strategic recommendations for senior business stakeholders. If you have a passion for the fashion and e-commerce space, this is a phenomenal opportunity to drive tangible, data-driven results on a fast-growing business.
Key Responsibilities- Exploratory Data Analysis: Conduct complex, deep-dive exploratory data analysis to proactively identify non-obvious, actionable insights and significant trends that directly influence business strategy and investment.
- Dashboards & Executive Reporting: Design, build, and maintain a standardized suite of interactive dashboards and executive-level reports, utilizing advanced visualization techniques to effectively communicate data narratives to senior stakeholders.
- Machine Learning Solutions: Develop, build, and productionize robust Machine Learning (ML) models using SQL and Python designed to solve critical business challenges (e.g., forecasting, recommendation engines).
- Dynamic Pricing Algorithms: Design, implement, and maintain dynamic pricing algorithms to optimize profit margins and drive revenue growth across the e-commerce platform.
- AI Agent Integration: Integrate and manage autonomous AI agents to streamline complex workflows, enhance customer interactions, and drive operational efficiency.
- A/B Testing & Optimization: Manage end-to-end A/B testing on the e-commerce website to drive continuous improvements in user engagement and sales conversions.
- Innovation & AI Proofs-of-Concept: Drive innovation by proactively researching, experimenting with, and building proofs-of-concept for how Artificial Intelligence (AI) or advanced methodologies can solve business problems.
- Data Storytelling & Stakeholder Delivery: Deliver business recommendations to internal and external stakeholders based on data analysis by creating visual dashboards, charts, and reports to visualize data, communicate findings, and propose solutions.
- Cross-Functional Analytics SME: Act as the primary analytical subject matter expert for cross-functional teams (e.g., Marketing, Product, Finance), ensuring data integrity, consistency, and alignment on core Key Performance Indicators (KPIs).
- Data Quality & Collaboration: Collaborate with other team members to ensure data quality, consistency, and accuracy.
Role RequirementsMaster's degree or foreign equivalent in Data Science, Engineering Management, or a related field, plus two (2) years of post-baccalaureate experience in the e-commerce field as a Manager, Data Analytics; Data Analyst; or in a related position.
Must have experience with:
- SQL
- Python
- Tableau
- Pricing Analytics
- Business Analytics
- BigQuery
BENEFITS- New State-of-the-art HQ located in Beverly Hills
- Formalized career paths for continued professional growth
- Comprehensive health insurance across Medical, Dental and Vision
- 401k match, with immediate vesting upon eligibility
- Weekly catered lunches & fully-stock kitchen pantry!
- Opportunities to travel for trade shows and vendor meetings
- Summer Fridays Early Departure
- Team bonding events and programs
- Attractive employee discounts!
