Job Description
Statistician•Retail Analytics
Zumiez, Inc.•Lynnwood, WA 98036
Posted:
5/13/2026•Expires:
6/18/2026 Job ID:
293411922 Job Description Zumiez, Inc. seeks a Statistician•Retail Analytics in Lynnwood, WA. POSITION DUTIES
The Statistician•Retail Analytics position will leverage statistical methods and data modeling techniques to uncover insights that help drive strategic decisions across merchandising, marketing, supply chain, and more. Develop and maintain statistical models for forecasting and predictive analytics. Translate statistical results into clear, business-friendly insights. Analyze large statistical datasets to identify trends, patterns, correlations and opportunities in sales trends, product performance, logistics and other areas. Collaborate with cross-functional teams (e.g., Marketing, Merchandising, supply chain, Finance) to align statistical analysis with business goals. Create dashboards and reports to communicate findings to stakeholders in a clear and actionable manner. Ensure statistical data integrity and apply best practices in statistical analysis and data governance. Collaborate with data engineering teams to improve data collection and processing pipelines. Position may allow working from home within a commuting distance of worksite location. POSITION REQUIREMENTS
Requires a Master's degree (or foreign equivalent) in Statistics, Computer Science, Data Science, or a related field plus 2 years of experience as a Data Scientist, Advisor•Data Analytics or related. Will accept a Bachelor's degree (or foreign equivalent) in Statistics, Computer Science, Data Science, or a related field plus 5 years of progressive post-baccalaureate experience as a Data Scientist, Advisor•Data Analytics or related in lieu of a Master's degree plus 2 years of experience. Must possess 2 years of experience with Master's or 5 years of experience with Bachelor's with: (a) conducting statistical analysis-based scripting with R, Python, SQL; (b) applying DAX for advanced data modeling, KPI development, and reporting; (c) performing data transformation, cleansing and manipulation using Python libraries (Pandas, NumPy, Matplotlib, Seaborn), R libraries (dplyr, tidyr, ggplot2, plotly), and AWS S3 and Glue for Scalable data processing; (d) conducting descriptive analysis to summarize historical data; (e) using predictive models to forecast future trends (f) applying prescriptive analytics to recommend optimal actions and strategies using supervised and unsupervised machine learning algorithms, such as K-Nearest Neighbors, K-Means Clustering, Deep Learning, Time Series Analysis, and Self-Organizing Maps; (g) managing databases with Microsoft SQL Server, including writing and optimizing SQL queries for data retrieval, manipulation, and reporting; (h) automating reporting processes and improving efficiency using ETL and data warehousing methodologies; (i) preparing data with Power Query, creating visualizations and dashboards in Power BI; (j) scaling data storage and processing using data lake architectures; and (k) project Management using Jira, Confluence, Microsoft Planner and Azure Devops. Position may allow working from home within a commuting distance of worksite location. RATE OF PAY
$100,360•$132,000. Benefits:
health, dental & vision insurance, life insurance, disability insurance, 401K, bonus eligible, paid parental leave, paid vacation & sick time, employee stock purchase program, employee discount on merchandise. Interested applicants should send cover letter + resume to: Sarah Beckman Zumiez Inc. 4001 204th St. SW Lynnwood, WA 98036 Phone:
(425) 551-1500 : sarahbeckman@zumiez.com Job Summary
Company Details
Company
Zumiez, Inc.
Industry
Corporate, Subsidiary, and Regional Managing Offices
Contact method
Contact Info
Phone:
425-551-1500 Mailing Address
Zumiez, Inc.
Sarah Beckman
4001 204th St. SW
Lynnwood, WA 98036
Job Information
Location
Lynnwood, WA 98036
Website
https://www.zumiez.com
Job Type
Full Time Employee
Experience
1+ to 2 Years
Education Level
Master's degree
Job Position
1 Position(s) Open
Duration
Over 150 Days
Additional Information
Federal Contractor
No
Affirmative Action Plan
No
