Manager, Data Science & Analytics - Supply Chain

Welcome to Ross Stores, Inc., where our differences make us stronger… At Ross and dd’s, inclusion is a way of life. We care about our Associates and the communities we serve and we value their differences. We are committed to building diverse teams and an inclusive culture. We respect and celebrate the diversity of backgrounds, identities, and ideas of those who work and shop with us. Come join us as we continue our diversity, equality and inclusion journey!

The Manager of Data Science & Analytics will be responsible for elevating the analytical capabilities within the Ross Supply Chain and leading sophisticated analysis in support of strategic projects and senior executives. Drives analytic excellence by identifying and adopting new analytical methodologies and increasing business access to data. An integral part of the business, helping to drive decision making, execution and assessment through rigorous analysis. Expected to focus on project-based (and ad hoc) work supporting key strategic priorities for the business. Works in close partnership with the Engineering team and other cross-functional partners. Will keep current with the latest academic research in data science and identify new business opportunities that can be solved using machine learning.

  • Perform practical, action oriented, & comprehensive data analysis to diagnose business problems, optimize business approaches and measure impact - supporting multiple functions.
  • Lead analytics for select cross-functional initiatives (e.g. region split, new format improvement, roll-out strategy for new business opportunities). This will require working closely with areas like Marketing, Planning, Store Operations, DCs and others.
  • Play the role of "Subject Matter Expert" for analytics on these projects.
  • Flexibly support different types of analysis (e.g. manipulating large data sets, building models, statistical analysis), leveraging understanding of the off-price business/Ross/dd's to drive insights and recommendations.
  • Independently summarize and communicate insights and recommendations with business partners.
  • Drive analytic excellence
  • Independently identify opportunities for better data access, build roadmap for advanced analytics at Ross, understand the requirements, and get leadership support.
  • Keep abreast of new analytical /statistical methodologies or capabilities, e.g. through annual conversations with vendors, or ad hoc investigation when new analysis requires new techniques.
  • Recommend upgrades or external trainings as needed.
  • Adopt new technologies and/or methodologies and train others on them.
  • Lead the build out of advanced data capabilities at Ross, while effectively communicating and partnering with the appropriate parties.
  • Communicate analytics and recommendations in an easy-to-understand way (written and verbal)
  • Develop compelling materials to communicate results of analysis and key insights.
  • Ad hoc support
  • Become the point person / subject matter expert for ad hoc questions from cross-functional business partners.

  • Problem Solving
  • Technical/Functional Skills
  • Business Acumen
  • Technical Learning
  • Intellectual Horsepower
  • Peer Relationships/Collaboration
  • Learning on the Fly
  • Drive for results

  • Top-tier college degree, plus MBA or Master's degree in a quantitative field.
  • Minimum 5 years post college experience, with experience in analytical positions. Relevant retail/Supply Chain experience preferred.
  • Outstanding analytical ability: Must have a data driven approach to solving problems. Requires very strong quantitative skills and a good sense of how to structure problems.
  • Project Management: Must be able to set priorities between multiple projects and deadlines, and keep senior team updated frequently.
  • Detail-oriented approach: Must have very close attention to details and the drive to get things right.
  • Strong fundamental business skills (especially analytic): must be experienced in SQL, Power BI and/or Tableau, Excel and PowerPoint, plus at least one large data mining tool or statistical programming language (e.g. SPSS, Python, R).
  • Clear understanding of basic financial, statistical and economic concepts
  • Advanced financial and statistical modeling skills and database analysis preferred.
  • Teamwork/Communication: Needs to be able to build effective working relationships across the organization. Must be able to listen, understand, and communicate with executives at all levels of the company. Must be able to translate data analyses into recommendations in a clear, understandable way.
  • Experience with statistical analysis, regression modeling, data mining, and machine learning

Job requires ability to work in an office environment, primarily on a computer.
Requires sitting, standing, walking, hearing, talking on the telephone, attending in-person meetings, typing, and working with paper/files, etc.
Consistent timeliness and regular attendance.
Vision requirements: Ability to see information in print and/or electronically.


This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at management's discretion.

Ross is an equal employment opportunity employer. We consider individuals for employment or promotion according to their skills, abilities and experience. We believe that it is an essential part of the Company's overall commitment to attract, hire and develop a strong, talented and diverse workforce. Ross is committed to complying with all applicable laws prohibiting discrimination based on race, color, religious creed, age, national origin, ancestry, physical, mental or developmental disability, sex (which includes pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), veteran status, military status, marital or registered domestic partnership status, medical condition (including cancer or genetic characteristics), genetic information, gender, gender identity, gender expression, sexual orientation, as well as any other category protected by federal, state or local laws.