Data Analyst 3, Merchandising Customer Insights (Hybrid, Seattle)

Nordstrom•Seattle, WA

3d•$102,500 - $170,500•Hybrid

About The Position

The Customer Insights & Analytics team works to make Nordstrom a data-driven fashion retailer by applying data science to support enterprise value and the outcomes of more customers, happier customers, and more engaged customers. The Data Analyst 3 – Merchandising Customer Insights contributes to a team of analysts harmonizing customer insights through the lens of Nordstrom’s product offer and supporting operational decisions by category and division merchandising leaders. The role helps grow a new insights domain focused on competitive pricing and promotions, category and brand insights, and category planning. Success requires partnering effectively with merchandising leaders, communicating insights for internal decisions and to brand partners, and connecting Nordstrom Merchandising Group (including Nordstrom Product Group), Digital Merchandising, and Marketing. The position supports leaders across Nordstrom Stores, Nordstrom.com, Rack Stores, and NordstromRack.com. The analyst develops measurement frameworks, investigates complex business problems, delivers analyses, dashboards, insights, and recommendations, and presents findings to stakeholders up to the executive level. The role also defines and implements metrics, identifies data-driven strategies to improve performance, mentors junior team members, and supports analytics standards and best practices.

Requirements

Bachelor’s degree in a quantitative field or equivalent experience.
At least 5 years of professional experience analyzing complex data, drawing conclusions, and making recommendations.
At least 3 years of experience extracting and manipulating large datasets from relational databases using SQL.
Strong problem-solving skills, including independently completing ambiguous projects, prioritizing tasks, identifying resources, and making trade-off decisions.
Strong coding skills in at least one statistical or programming language to import, summarize, and analyze data.
Experience with statistical and machine-learning algorithms, such as regression, classification, or clustering.
Proficiency with graphics or visualization software.
Ability to work flexibly in a fast-paced, dynamic organization.
Clear written and verbal communication skills and strong interpersonal skills.

Nice To Haves

Experience with BigQuery, preferred.
Experience with R or Python, preferred.
Experience with Shiny, ggplot, matplotlib, or Tableau.

Responsibilities

Partner with stakeholders to define success and develop measurement frameworks.
Investigate complex business problems and provide insights on merchandising performance through hypothesis testing.
Deliver analytical products, including analyses, dashboards, insights, and recommendations.
Present results to stakeholders, including executive-level audiences, and guide them in using analytics in their domain.
Own the definition and implementation of new metrics.
Identify opportunities to use data to develop strategies and improve overall performance.
Deliver high-quality solutions and recommendations independently and in collaboration with team members and business partners.
Communicate insights through clear, meaningful data storytelling for audiences with varying levels of technical expertise.
Reconcile differing demands from multiple stakeholders in a fast-paced work environment.
Mentor junior team members on analytics, storytelling, and communication best practices.
Influence and support Center of Excellence standards and analytics best practices.
Use advanced analytical and statistical practices to create thorough, actionable insights.