Data Analyst 2 - Store Loyalty, Customer Insights and Analytics - Hybrid - Seattle

Job Description

Store Loyalty Analytics, Customer Insights and Analytics

Nordstrom is reinventing the retail industry through the power of data and artificial intelligence. The vision for Data Science & Analytics at Nordstrom is to be the best data-driven fashion retailer in the world, and we win by rigorous and thoughtful application data science to solve strategic business challenges. Nordstrom’s centralized Customer Analytics team focuses on supporting executive management with robust decision support data science. We build data science products and provide analytics consulting in support of strategic business decisions, including customer segmentation, marketing, company strategy, and digital experience. We work as the quantitative right-hand for the executive team with a passion for supporting data-driven decision making, a devotion to advanced techniques, along with a creative team spirit!

We are looking for a creative, curious, and passionate Data Analyst 2 to join our Loyalty Analytics team. One core function of this role will include partnering with our loyalty store teams to set rigorous store goals in key business areas, build accurate reporting and ideate on new ways to engage our employees as well as our dedicated shoppers. The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data-driven tools.  In this hands-on role, you will deliver end-to-end analyses that transform data into actionable insights that directly inform store strategy. This individual should have a high degree of curiosity about the business and the skills to discover impactful insights from data and communicate those insights in a way that builds confidence and enables decisions that drive business value. This position will join a team of data analysts, reporting into the Sr. Manager of Data Science & Analytics, Loyalty Analytics.

A day in the life…

• Complete a wide variety of sophisticated ad hoc analyses that are designed to use raw data to provide key insights to the business, drive tactical performance, and generate results.

• Maintain and build user facing dashboards in Tableau, allowing store teams to access overall performance, KPIs and quarterly goals

• Creation and measurement of key performance indicators and metrics.

• Use experimental design best practices; ensure that meaningful insights can be obtained from call center incentives at variance staffing levels.

• Lead A/B testing pipeline and establish analytics test priorities and requirements.

• Collaborate with other Card Services departments to advice management on materiality and timing of operational initiatives, agent level performance trends, and development of forecasted expectations.

• Design and prepare periodic and ad hoc reports, PowerPoint presentations, and exploratory analysis.

• Analyze, collect, and assemble information deemed necessary to represent a variety of different courses of business directions and provide recommendations to management.

Minimum qualifications include…

• 3+ years hands-on professional experience in Data Science and Analytics.

• 2-3 years of strong coding skills in at least one statistical or programming language (e.g. SQL, R, Python) to import, process, summarize, and analyze data.

• Experience with utilizing data visualization tools to tell compelling data stories (e.g. PowerBI, Tableau, Shiny, Plotly, GGPlot)

• Bachelor’s degree in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).

• Proficiency with statistical techniques and when best to apply given current situation.

• Experience managing large projects or workstreams as a Data Analyst / Data Scientist.

Our ideal candidate has…

• Strong critical thinking and storytelling skills.

• 3 years of experience analyzing complex data, drawing conclusions, and making recommendations.

• 2+ years of experience with advanced BI visualization (Tableau or Looker preferred).

• Ability to think strategically, seek to expand understanding of business domain, processes, data sources, and relevant key metrics.

• MS or PhD in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).

• Passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and statistical testing.

• Experience working in a highly collaborative environment (e.g. code sharing, using revision control, contributing to team discussions/workshops, and document sharing).

#LI-EB1

We’ve got you covered…

Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources

A few more important points...

The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.

Nordstrom will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. 

© 2022 Nordstrom, Inc  

Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.

Pay Range Details

The pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.

Washington: $77,969 - $145,500 Annually

This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_16.pdf