Data Analyst 2, Stores

1 week ago

Seattle, United States Nordstrom Full time

We are looking for a creative, curious, and passionate Data Analyst 2 to join our Stores Analytics team. The core function of this role will include partnering with our new store openings and Real Estate teams to identify the ideal locations for our new store locations, optimize overall store experience and leverage digital signals to provide an omni-channel experience for our customers. This person will also work broadly with our Store partners across leadership, technology, strategy, and finance on high-impact projects. 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 stores optimization and informing strategy that allows our customers to ‘Feel Good and Look Their Best.’ 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 scientists and analysts, reporting into the Sr. Manager of Data Science & Analytics, Store Analytics.**Minimum qualifications include…** Bachelor’s degree in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience). 2+ years hands-on professional experience in Data Science and Analytics.2+ years of strong coding skills in at least one statistical or programming language (e.g., R, Python) to import, process, summarize, and analyze data.Experience with utilizing data visualization tools to tell compelling data stories (e.g., Power BI, Tableau, Shiny, Plotly, GGPlot)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.3+ years of experience developing and deploying production-level SQL queries.3+ 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). 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).
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