SENIOR DATA ANALYST-ECOMMERCE

Z Supply Inc.•Costa Mesa, CA

32d•$95,000 - $135,000•Hybrid

About The Position

Z SUPPLY is an established California women’s lifestyle brand that is leading the space for casual, comfortable style. Located in the heart of Orange County, we are passionate about staying true to our roots and living a life of good vibes in and out of the office. Our culture is collaborative, fast-paced, and team oriented. We are inspired by our creative mission, engaged in our everyday work, and enjoy partnering with our teammates and customers. We are seeking a Senior Ecommerce Data Analyst with a deep understanding of the fashion and apparel industry and mastery of data science methodologies. This role will leverage data to generate actionable insights that inform strategic decisions and drive e-commerce performance.

Requirements

5–10+ years as a Data Analyst with proven e-commerce expertise (fashion/apparel industry experience preferred).
Bachelor’s degree in Statistics, Computer Science, Mathematics, Economics, or a related field.
Advanced proficiency in Tableau and Excel.
Strong Python skills for statistical programming and analysis.
Proficiency in SQL and database management.
AWS and Athena experience.
Familiarity with Google Analytics, Looker (Data Studio), AI, and other BI tools.
Expertise in Digital Marketing Analytics: understanding of paid media, email, SEO, and web traffic data to link marketing performance to e-commerce KPIs.
KPI Development: ability to define and measure key metrics such as CAC, CLV, AOV, ROAS, and conversion rates.
Customer Journey Analytics: experience analyzing funnels, conversion rates, and lifecycle value.
Forecasting & Predictive Modeling: exposure to regression, time-series, and predictive analytics.
Data Science Methodologies: skilled in data collection (including e-commerce APIs), cleaning, standardization, statistical analysis, and data mining for actionable insights.
Exceptional written and verbal communication; able to translate complex data for technical and non-technical audiences.
Strong project management and organizational skills to manage multiple concurrent initiatives.
Mindset: self-starter, curious, detail-oriented, and strong problem solver.
Must be legally authorized to work in the U.S. without restriction or sponsorship.

Nice To Haves

Experience with Shopify and Full Circle (preferred).
Knowledge of data warehousing (e.g., Snowflake, Redshift, BigQuery) and ETL processes (Airflow, dbt) (preferred).
Additional preferred strengths include advanced AI & machine learning interpretation for strategic insights and cross-departmental reporting (Finance, Operations, Logistics, Wholesale, Buying, and Planning).

Responsibilities

DEVELOP AND MAINTAIN ANALYTICAL REPORTS TO GUIDE E-COMMERCE STRATEGIES.
AUTOMATE AND STREAMLINE DATA WORKFLOWS FOR EFFICIENCY AND SCALABILITY.
ANALYZE DATA TO UNCOVER INSIGHTS IN CUSTOMER RETENTION, SEGMENTATION, AND PRODUCT RETURN RATES.
RECONCILE AND DISTRIBUTE WEEKLY/MONTHLY REPORTS ACROSS DEPARTMENTS.
MANAGE END-TO-END ANALYSIS: DATA EXTRACTION, CLEANING, MODELING, AND INTERPRETATION.
BUILD AND MAINTAIN INTUITIVE DASHBOARDS AND VISUALIZATIONS FOR STAKEHOLDERS.
COLLABORATE CROSS-FUNCTIONALLY TO ALIGN BUSINESS OBJECTIVES WITH DATA INSIGHTS.
STAY CURRENT WITH EMERGING TRENDS, TECHNOLOGIES, AND BEST PRACTICES IN DATA SCIENCE AND FASHION E-COMMERCE.

Benefits

Teams work a partial hybrid / remote schedule.
Half-Day Fridays year-round
Generous clothing discount
New chic and modern offices located near top restaurants and shopping.
Comprehensive health benefit package that includes medical, dental, and vision. Team members enjoy zero premium cost for select medical plans.
401K with annual company match
Positive, collaborate company culture

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