Data Analyst 3 - Marketing (Hybrid - Seattle)

$89,000 - $170,500/Yr

Nordstrom - Seattle, WA

Full-time - Mid Level

Hybrid - Seattle, WA

Clothing, Clothing Accessories, Shoe, and Jewelry Retailers

About the position

The Data Analyst 3 role at Nordstrom focuses on marketing optimization and analytics, responsible for collecting, analyzing, and presenting data to enhance decision-making processes. This position aims to improve marketing performance through data-driven insights, causal inference methods, and experimental design, ultimately contributing to the company's vision of being the best data-driven fashion retailer in the world.

Responsibilities

• Partner with key stakeholders to define success and develop measurement frameworks.
• Analyze complex business problems and provide insights on marketing channel performance through hypothesis testing, causal inference, and experimentation.
• Deliver a suite of analytical products including analyses, dashboards, insights, and recommendations.
• Present results to stakeholders up to the executive level and guide them in utilizing analytics effectively.
• Define and implement new metrics for marketing performance.
• Collaborate with marketing partners like Google, Meta, and TikTok to set up experiments measuring incrementality of marketing channels.
• Identify opportunities to leverage data for new strategies and improved marketing performance.
• Provide high-quality solutions and recommendations independently and collaboratively with team members and business partners.
• Communicate data insights through storytelling to audiences with varying technical expertise.
• Manage divergent demands from multiple stakeholders in a fast-paced environment.
• Mentor junior team members on analytics, storytelling, and communication best practices.
• Utilize advanced analytical and statistical practices to generate actionable insights.
• Collaborate to apply learnings across channels, campaigns, products, and business units.

Requirements

• Bachelor's degree in a 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).
• 3+ years of experience in extracting and manipulating large data sets from relational databases using SQL (Amazon Redshift, Oracle, Teradata preferred).
• Previous marketing analytics experience is essential.
• Experience with causal inference, causal measurement, and experimental design is required.
• Familiarity with statistical and machine learning algorithms for business analysis (e.g., regression, classification, clustering).
• Proficiency with advanced graphics/visualization software/packages (e.g., R-Shiny, ggplot, plotly, matplotlib, Tableau, Looker Studio).
• Clear and effective written and verbal communication skills, along with strong interpersonal skills.
• Ability to develop strong relationships with various teams and personnel.
• Strong problem-solving skills, including the ability to manage ambiguous projects independently.

Benefits

• 401(k)
• Dental insurance
• Disability insurance
• Employee assistance program
• Health insurance
• Life insurance
• Paid time off