Sr Data Analyst - E-Commerce Job at Analytic Recruiting Inc., Beverly Hills, CA

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  • Analytic Recruiting Inc.
  • Beverly Hills, CA

Job Description

A well-known apparel brand is seeking a Senior Data Analyst , to be responsible for turning complex data into actionable strategies across the organization. You will master the full analytics lifecycle: from designing executive-ready data visualizations to build/productionize robust Machine Learning (ML) models. If you have a passion for the e-commerce space, this is a phenomenal opportunity to drive tangible, data-driven results on a fast-growing business.

Location: Beverly Hills, CA

Salary: Up to 200k total

Responsibilities:

  • Independently execute complex, deep-dive exploratory data analysis to proactively identify non-obvious, actionable insights and significant trends that directly influence business strategy and investment.
  • 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.
  • Own the end-to-end development, deployment, and performance monitoring of ML models designed to solve critical business challenges (e.g., forecasting, recommendation engines).
  • Drive innovation by proactively researching, experimenting with, and building proofs-of-concept for how AI can solve business problems.
  • Scope, conduct, and deliver comprehensive ad-hoc analysis for the most ambiguous business questions, providing clear, well-supported conclusions and strategic recommendations.
  • Continuously evaluate and optimize existing data processes, tooling, and methodologies to enhance the speed and quality of analytical output.

Requirements:

  • 3+ years of experience in a Data Analyst or similar quantitative role.
  • Bachelor's or Master's degree in a quantitative field (e.g., Applied Statistics, Mathematics, Data Science, Computer Science, Economics).
  • Expert-level analytical, critical thinking, and structured problem-solving skills, with a proven ability to handle ambiguous and unstructured problems.
  • Advanced proficiency in SQL, including deep experience writing highly complex queries, tuning query performance, and implementing robust data quality checks.
  • Strong programming skills in Python with practical experience utilizing libraries for data manipulation (e.g., Pandas), statistics, and ML (e.g., Scikit-learn, TensorFlow, PyTorch).
  • Proven expertise with data visualization tools such as Looker, Tableau, or PowerBI
  • Experience with Snowflake (AWS, or GCP)
  • Deep understanding and practical application of statistical concepts (e.g., hypothesis testing, regression analysis, experimental design, A/B testing).
  • Proven experience with the full Machine Learning lifecycle, including feature engineering, model selection, hyperparameter tuning, cross-validation, and production deployment

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