Sr Data Analyst - E-Commerce

Analytic Recruiting Inc.; Beverly Hills (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

A well-known recruiting firm is seeking a Senior Data Analyst responsible for transforming complex data into actionable strategies. This role involves designing data visualizations and building robust Machine Learning models. Ideal candidates have over 3 years of experience in data analysis, a quantitative degree, and proficiency in SQL and Python.

Qualifications

• 3+ years of experience in a Data Analyst or similar quantitative role.
• Expert-level analytical, critical thinking, and structured problem-solving skills.
• Proven expertise with data visualization tools.

Responsibilities

• Execute complex exploratory data analysis to identify actionable insights.
• Design and maintain interactive dashboards and reports.
• Develop and monitor ML models for business challenges.

Skills

Analytical skills

SQL proficiency

Python programming

Data visualization

Machine Learning lifecycle

Education

Bachelor's or Master's degree in a quantitative field

Tools

Looker

Tableau

PowerBI

Snowflake

Job description

Analytic Recruiting Inc. provided pay range

This range is provided by Analytic Recruiting Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $180,000.00/yr

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 building/productionizing 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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Analyst and Information Technology

Industries

Retail Apparel and Fashion