Data Analyst 1, Nordstrom Media Network (Hybrid, Seattle)

Nordstrom•Seattle, WA

1d•Hybrid

About The Position

The Customer Insights & Analytics team strives to make Nordstrom the best data-driven fashion retailer among competitors, who wins by rigorous and thoughtful application of data to unlock value for the enterprise. We focus on three business outcomes: more customers, happier customers, and more engaged customers. The Data Analyst 1 role on the Nordstrom Media Network (NMN) Analytics team is responsible for collecting, analyzing, and presenting data to improve decision-making, specifically around media campaign performance recommendations. This individual should possess a high degree of curiosity about the business and the necessary analytical skills to discover actionable insights from data. They must be able to communicate those insights in a way that builds confidence and enables data-driven decisions that ultimately drive significant business value. The ideal candidate is an ultra-curious, creative self-starter with a background in media reporting and analytics, and a genuine passion for storytelling with data. This individual will be a proactive and analytical problem-solver who thinks strategically about business needs while consistently looking for new opportunities to solve business problems with data-driven tools. We welcome your curiosity about the business, your passion to unlock rich, nuanced insights from complicated data, and your desire to communicate those insights in a way that drives positive business outcomes. A day in the life… Collaborate with key stakeholders to define and address retail media performance problems using data analysis and following structured problem-solving frameworks. Mine and transform complex digital behavioral and media performance data into actionable information, identifying basic patterns and trends to summarize findings and key callouts. Apply analytical methods and data modeling (including basic statistical techniques) to answer strategic questions for the business. Develop and present clear solutions and insights to business stakeholders using data visualization tools like Looker or Looker Studio, ensuring documentation is clear and next steps are implementable. Provide exceptional service by working with stakeholders to build contextual understanding, demonstrating ownership, and proactively tracking and communicating project task status. Maintain high productivity through efficient use of time, double-checking work for accuracy, and a consistent commitment to delivering strong, timely results.

Requirements

A degree in a quantitative field such as mathematics, statistics, business analytics, economics, finance, or a similar quantitative analytics discipline.
1+ years of corporate data analysis experience in customer/strategy analytics (retail a plus).
A solid understanding of SQL scripting language for data manipulation and extraction.
A working understanding of data visualization tools such as Looker or Looker Studio.
Excellent verbal and written communication skills, with the ability to clearly convey complex analytical results to non-experts.

Nice To Haves

Familiarity with Python is a plus.

Responsibilities

Collaborate with key stakeholders to define and address retail media performance problems using data analysis and following structured problem-solving frameworks.
Mine and transform complex digital behavioral and media performance data into actionable information, identifying basic patterns and trends to summarize findings and key callouts.
Apply analytical methods and data modeling (including basic statistical techniques) to answer strategic questions for the business.
Develop and present clear solutions and insights to business stakeholders using data visualization tools like Looker or Looker Studio, ensuring documentation is clear and next steps are implementable.
Provide exceptional service by working with stakeholders to build contextual understanding, demonstrating ownership, and proactively tracking and communicating project task status.
Maintain high productivity through efficient use of time, double-checking work for accuracy, and a consistent commitment to delivering strong, timely results.