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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 science to unlock value for the enterprise. We focus on three business outcomes: more customers, happier customers, and more engaged customers The Data Analyst 2 – Merchandising Customer Insights will be a key contributor on a squad of highly skilled data analysts focused on harmonizing customer insights through the lens of our product offer, supporting operational decision-making by category and division merchandising leaders. This individual will help grow and scale a new insights domain with focus areas that include competitive pricing and promotions, category and brand insights, and supporting category planning. Success in this role comes from being an effective partner to merch leaders, storytelling for internal decision-making and to Nordstrom's brand partners, and the ability to create connective tissue between the Nordstrom Merchandising Group (including Nordstrom Product Group), Digital Merchandising, and Marketing. They must have a high degree of curiosity about the business, the skills to discover impactful insights from data, and the ability to communicate those insights in a way that builds confidence and drives business value. This individual should have working knowledge of the business and ability to partner with operational leadership in helping customers feel good and look their best across our four boxes: Nordstrom Stores, Nordstrom.com, Rack Stores, and NordstromRack.com.
Responsibilities
Partner with key stakeholders to define success and develop measurement frameworks
Dive deep into complex business problems and provide insights on merch 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 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.
Influence and support the Center of Excellence standards and best practices of analytics.
Use advanced analytical and statistical practices to create thorough and actionable insights.
Requirements
Bachelor's Degree in a quantitative field (or equivalent experience)
3+ years of professional experience analyzing complex data, drawing conclusions, and making recommendations.
3+ years of experience in extracting & manipulating large data sets from various relational databases using SQL (BigQuery preferred).
Strong problem solving skills - Is able to complete ambiguous projects independently & plan out the priority order of tasks; find the right resources to complete the tasks and make smart decisions regarding trade-offs.
Strong coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data.
Experience with statistical and machine learning algorithms (e.g. regression, classification and/or clustering).
Proficiency with graphics/visualization software (e.g. Shiny, ggplot, matplotlib, Tableau).
Ability to be flexible and work in a fast-paced and dynamic organization
Clear and effective written and verbal communication and strong interpersonal skills
Benefits
Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more.
