Data Analyst 3 - Loyalty Analytics, Customer Inights - Hybrid - Seattle

Job Description

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 III to join our Loyalty Analytics team. One core function of this role will include partnering across business functions to identify loyalty program opportunities for our dedicated cardmembers and members, driving further engagement with Nordstrom. 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 loyalty program strategy. The role has an opportunity to tackle challenges from ideation to insights delivery, with visibility across the leadership organization.  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…

• Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise.

• Collaborate with other analysts to review code and learn from each other to constantly grow and learn to maximize impact within the broader team.

• Manage and balance projects across competing priorities to focus on the most impactful work to maximize the value of your work to the business.

• Partner with key stakeholders to define success and develop measurement frameworks.

• Present the results to the stakeholders and guide them to make the best use of the insights for their purposes and use-cases.

• Use advanced analytical and statistical practices to create thorough and actionable insights.

• Deliver high quality solutions and recommendations to a variety of problems both independently and through the collaboration with team members and business partners to drive outcomes.

• Mentor junior team members on analytics, storytelling, and communication best practices.

Minimum qualifications include…

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

• 3-5 years of strong coding skills in at least one statistical or programming language (e.g. R, SQL, 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).

• A solid grasp of the scientific method and its application to Data Science.

• Fluency with descriptive and inferential statistical techniques, including experimental design (DOE) concepts and their application.

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

• Proficient in extracting large data sets from various relational databases using SQL (Amazon Redshift, Oracle, Teradata preferred).

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

Our ideal candidate has…

• Strong critical thinking and storytelling skills.

• 5-8 years of experience analyzing complex data, drawing conclusions, and making recommendations.

• 5+ years of experience developing and deploying production-level SQL queries.

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

• Professional experience using R or Python in analytics capacity.

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

• Direct experience working with Real Estate, GIS analytics, Store Selection, etc. within the retail industry is strongly preferred!

• 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).

• Familiarity with e-commerce analytics topics (e.g., digital tactics, targeting and customer segmentation, lifetime value forecasting, and incremental response modeling, to name a few).

#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: $89,000 - $170,500 Annually