Data Analyst 3, Nordstrom Analytical Platform (Hybrid - Seattle, WA)

Job Description

We are part of one of the NAP (Nordstrom Analytical Platform) teams, Fulfilment & Returns & Store Operations Analytics team with the focus on supporting the Supply Chain, Inventory, Customer fulfillment, Returns, and Store Operations data supporting various business/executive decisions unlocking business KPIs. We build dashboards, products and provide analytics consulting in support of strategic business decisions. We work with a passion for supporting data-driven decision making, a devotion to advanced techniques, along with a creative team spirit! 

The Data Analyst 3 role on the Fulfilment & Returns & Store Operations Analytics team is responsible for collecting, analyzing, and presenting data to improve decision making to unlock Enterprise Insights. This individual should have a high degree of curiosity about the business and the skills to discover impactful insights from data. They should be able to communicate those insights in a way that builds confidence and enables decisions that drive business value. 

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. We welcome your curiosity about the business, your passion to unlock rich, nuanced insights from complicated data and the desire to communicate those insights in a way that drives positive business outcomes. 

Read this first: We encourage you to apply even if you do not meet all the qualifications but feel you would be a good fit for the position. Nordstrom is an equal-opportunity employer.  We are building a diverse, inclusive workforce and hope you will join us!

A day in the life… 

• Partner with key stakeholders to define success and develop measurement frameworks. 
• Dive deep into complex business problems and provide insights on business vertical performance through hypothesis testing. 
• Responsible for delivering a suite of analytical products include analyses, dashboards, insights, and recommendations. 
• Present the results to the stakeholders up to executive level and guide them to make the best use of analytics in their domain. 
• Own the definition and implementation of new metrics. 
• Find opportunities to use data to develop new strategies and improve overall performance. 
• 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. 
• Collaborate and partner with Data Engineers in the team, Business, Product Management to achieve the desired results
• Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise. 
• Reconcile divergent demands from multiple stakeholders in a fast-paced work environment. 
• Mentor more junior team members on analytics, storytelling and communication best practices. 
• Use advanced analytical and statistical practices to create thorough and actionable insights. 
• Collect data to analyze, execute and measure the customer analysis, marketing campaigns, merchandise and digital experience analysis. 
• Actively collaborate to apply learning to other channels/campaigns/products/business units. 

You own this if you have… 

• Bachelor’s degree in quantitative field; advanced quantitative degree preferred. 
• 5+ years of professional experience analyzing data, drawing conclusions and making recommendations
• Strong coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data
• 3+ years of experience in extracting & manipulating large data sets from various relational databases using SQL (Amazon Redshift, Oracle, Teradata preferred)
• Experience with statistical and machine learning algorithms to address a business question from analysis through insights delivery (e.g. regression, classification and/or clustering) 
• Strong proficiency with advanced graphics/visualization software/packages (e.g. R-Shiny, ggplot, plotly, matplotlib, Tableau, Data Studio)
• View creation joining multiple tables across domains and improve performance of views
• Clear and effective written/verbal communication and strong interpersonal skills
• Ability to develop strong, synergistic relationships with a multitude of teams and personnel 
• Strong problem-solving skills
• Can complete ambiguous projects independently 
• Plan out the priority order of tasks  
• Find the right resources to complete the tasks  
• Make smart decisions regarding trade-offs 

We’ve got you covered…

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