Nordstrom is looking to solve the problem of identifying ideal locations for new store locations, optimizing overall store experience, and leveraging digital signals to provide an omni-channel experience for customers through data-driven tools and analytics.
Requirements
- 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).
- Experience with utilizing data visualization tools to tell compelling data stories (e.g., Power BI, Tableau, Shiny, Plotly, GGPlot).
- 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.
- Proficient in extracting large data sets from various relational databases using SQL (Amazon Redshift, Oracle, GCP preferred).
- Experience managing large projects or workstreams as a Data Analyst / Data Scientist.
Responsibilities
- Use storytelling to present data in a clear and engaging manner, making it accessible and meaningful to audiences with varying degrees of technical expertise.
- Provide high-quality data visualizations to support analyses, presented through automated dashboards and ad-hoc reports.
- Manage analyses 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.
- Extract large data sets from various relational databases using SQL
Other
- Bachelor’s degree in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).
- Strong critical thinking and storytelling skills.
- 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).
- Passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and statistical testing.
