About the position
Responsibilities
• Promote a data-driven culture by educating cross-functional HR partners and business leaders on the value and effective usage of people analytics.
• Conduct in-depth analyses using statistical methods, regressions/ML models, and other analytical techniques to uncover insights related to talent, engagement, KPI drivers, turnover, and productivity.
• Support salespeople across Nordstrom stores by analyzing engagement and employee experience trends, identifying characteristics of high-performing individuals and successful departments, and maintaining salesperson scorecard KPIs and goals to drive performance and employee growth.
• Design and manage interactive dashboards to encourage data-driven decision making and stakeholder self-service.
• Work with peers and stakeholders to analyze employee survey results and uncover valuable insights using various analytical methods.
• Develop and refine metrics tailored to unique sections of the employee lifecycle, including onboarding, internal career growth and mobility, development milestones, and turnover.
• Manage time effectively to tackle ad-hoc requests while maintaining larger projects and exploratory efforts.
• Identify new opportunities with pragmatic research, data science, and advanced analytics to translate into actionable recommendations that inform strategic business decisions.
Requirements
• Master's degree in industrial/organizational psychology, organizational behavior, social psychology, computer science, data science, data analytics, mathematics, statistics, or closely related field.
• 3+ years of corporate experience in data science and analytics using SQL in a variety of RDMS environment.
• Direct experience in human resources (HR)/people data analytics, employee surveys, and qualitative data analysis.
• Ability to apply quantitative analysis to HR data and synthesize it into compelling narratives to influence leadership decision-making.
• Strong data visualization skills with ability to build and maintain insightful dashboards.
• Experience with R and SQL for querying, data manipulation, and analyses.
• Experience gathering data from multiple sources (writing SQL queries, creating/editing/automating Workday reports, etc.) to triangulate for research and analysis with minimal support.
• Experience in statistical analysis methodologies such as decision trees, neural networks, LLMs, clustering, factor analysis, regressions, forecasting, survival analysis, etc.
• Strong consulting skills with experience in stakeholder management.
• Excellent verbal and written communication skills.
Benefits
• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources
• 401k
• PTO accruals
• Holidays
Apply Now
Apply Now