Nordstrom - Seattle, WA

posted 2 months ago

Full-time - Mid Level
Hybrid - Seattle, WA
10,001+ employees
Clothing, Clothing Accessories, Shoe, and Jewelry Retailers

About the position

The Data Analyst 3 role at Nordstrom is a pivotal position within the Supply Chain Technology team, focusing on modernizing warehouse operations through the Nordstrom Warehouse Management Platform. This platform is designed to enhance communication between Warehouse and Inventory systems, processing over 100 million events daily. The primary objective of this role is to collect, analyze, and present data that supports and improves decision-making processes for the Supply Chain Operations teams. The ideal candidate will possess a strong curiosity about the business and the analytical skills necessary to extract meaningful insights from data. They will be responsible for communicating these insights effectively to build confidence and facilitate decisions that drive business value. In this role, the Data Analyst will partner with key stakeholders to address data collection and analysis challenges. They will apply statistical methods, data modeling, and predictive analysis to answer strategic questions, providing actionable insights that aid senior management in their decision-making processes. The analyst will collect data to analyze operational behavior, support business intelligence reporting, and conduct ad hoc analyses. They will also dive deep into complex business problems, providing insights into acquisition and demand patterns through hypothesis testing. Proficiency in SQL, Python, R, or other relevant statistical tools is essential for data mining and predictive analytics, as well as maintaining Airflow pipelines that ETL data to various sources such as S3 and MySQL. The role requires the ability to reconcile the divergent demands of multiple stakeholders in a fast-paced work environment, making strong interpersonal skills and effective communication crucial for success.

Responsibilities

  • Collect, analyze, and present data to support decision-making for Supply Chain Operations teams.
  • Partner with key stakeholders on data collection and analysis problems.
  • Apply statistical methods, data modeling, and predictive analysis to answer strategic questions.
  • Provide actionable insights through data analytics and synthesize results into presentations for senior management.
  • Collect data to analyze, execute, and measure operational behavior.
  • Support BI reporting, database production, and ad hoc analysis.
  • Dive deep into complex business problems and provide insights into acquisition and demand patterns through hypothesis testing.
  • Utilize SQL/Python/R or other relevant statistical tools for data mining and predictive analytics.
  • Maintain Airflow pipelines that ETL data to various sources (S3, MySQL, etc.).
  • Reconcile divergent demands of multiple stakeholders in a fast work environment.

Requirements

  • Bachelor's or master's degree in statistics, math, economics, or related quantitative discipline, or equivalent industry experience.
  • 3+ years of experience using Python/SQL/R (or equivalent) programming languages required.
  • 3+ years of experience with databases, SQL, data modeling, data mining, and automated engineering solutions.
  • Familiarity with GCP Big Query and Presto is a plus.
  • Proficiency with advanced graphics/visualization software (e.g., Microstrategy, Tableau, Looker).
  • Experience with cloud environments such as AWS and/or GCP.
  • Experience in developing near real-time distributed data processing solutions using Kafka, Flink, Spark, Kubernetes, Airflow.
  • Ability to demonstrate analytical and problem-solving skills.
  • Clear and effective written and verbal communication and strong interpersonal skills.
  • Ability to develop strong relationships with a multitude of teams and stakeholders.

Nice-to-haves

  • Familiarity with GCP Big Query and Presto is a plus.
  • Experience with cloud environments such as AWS and/or GCP.

Benefits

  • 401(k)
  • Dental insurance
  • Disability insurance
  • Employee assistance program
  • Health insurance
  • Life insurance
  • Paid time off
  • Merchandise discount
  • EAP resources
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