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
#J-18808-Ljbffr