Senior Data Analyst - Real Estate (Hybrid - Seattle or LA)
Job Description
Senior Data Analyst
Stores & Finance, Customer Insights and Analytics
Nordstrom is reinventing the retail industry through the power of data and artificial intelligence. The vision for Data Science & Analytics at Nordstrom is to be the best data-driven fashion retailer in the world, and we win by rigorous and thoughtful application of data science to solve strategic business challenges. Nordstrom’s centralized Customer Analytics team focuses on supporting executive management with robust decision support data science. We build data science products and provide analytics consulting in support of strategic business decisions, including customer segmentation, marketing, company strategy, and digital experience. We work as the quantitative right-hand for the executive team with a passion for supporting data-driven decision making, a devotion to advanced techniques, along with a creative team spirit!
We are looking for a creative, curious, and passionate Sr Data Analyst to join our Stores and Finance Analytics team. One core function of the role will include the opportunity to partner with our New Store Openings (NSO) and Real Estate teams to identify the ideal locations for our new store locations! 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 strategy that allows our customers to ‘Feel Good and Look Their Best’. 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 and Finance.
A day in the life…
- Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise.
- Collaborate with other analysts to review code and learn from each other to maximize impact within the broader team.
- Manage and balance projects across competing priorities to focus on the most impactful work to maximize the value of your work to the business.
- Partner with key stakeholders to define success and develop measurement frameworks.
- Present the results to the stakeholders and guide them to make the best use of the insights for their purposes and use-cases.
- Use advanced analytical and statistical practices to create thorough and actionable insights.
- Deliver high-quality solutions and recommendations to a variety of problems both independently and through collaboration with team members and business partners to drive outcomes.
- Mentor junior team members on analytics, storytelling, and communication best practices.
Minimum qualifications include…
- 5+ years hands-on professional experience in Data Science and Analytics.
- 3-5 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., PowerBI, Tableau, Shiny, Plotly, GGPlot).
- Bachelor’s degree in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).
- A solid grasp of the scientific method and its application to Data Science.
- Fluency with descriptive and inferential statistical techniques, including experimental design (DOE) concepts and their application.
- Proficiency with statistical techniques and when best to apply given the current situation.
- Proficient in extracting large data sets from various relational databases using SQL (Amazon Redshift, Oracle, Teradata preferred).
- Experience managing large projects or workstreams as a Data Analyst / Data Scientist.
Our ideal candidate has…
- Strong critical thinking and storytelling skills.
- 5-8 years of experience analyzing complex data, drawing conclusions, and making recommendations.
- 5+ years of experience developing and deploying production-level SQL queries.
- 5+ years of experience with advanced BI visualization (Tableau or Looker preferred).
- Professional experience using R or Python in an analytics capacity.
- Ability to think strategically, seek to expand understanding of business domain, processes, data sources, and relevant key metrics.
- Direct experience working with Real Estate, GIS analytics, Store Selection, etc. within the retail industry is strongly preferred!
- MS or PhD in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).
- Passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and statistical testing.
- Experience working in a highly collaborative environment (e.g., code sharing, using revision control, contributing to team discussions/workshops, and document sharing).
We’ve got you covered…
Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
- Medical/Vision, Dental, Retirement and Paid Time Away
- Life Insurance and Disability
- Merchandise Discount and EAP Resources
A few more important points...
The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.
Nordstrom will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location.
Pay Range Details
The pay range(s) below are provided in compliance with state-specific laws. Pay ranges may be different in other locations. California: $105,000 - $206,500 Annually, Washington: $105,000 - $199,000 Annually. This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment.
About Us
We’re a fast-moving fashion company that started as a shoe store in 1901. This heritage of service is the foundation we’re building on as we provide convenience and true connection for our customers. We empower our people to be innovative, creative and focused on providing the best service to our customers. Through it all, we remain committed to leaving the world better than we found it.
Whether you’re a genius engineer, a phenomenal salesperson or a supply chain pro, we invite you to bring your unique talents and join our team. We reward great work, promote from within and celebrate diversity.
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