Data Analytics Manager - Supply Chain

Ross Stores; Fort Mill (SC); On-site; USD 80,000 - 120,000; Full time

Job summary

Ross Stores is seeking a Manager of Data & Analytics to enhance analytical capabilities within the supply chain. This role is critical for supporting strategic projects through advanced data analysis and decision-making. The ideal candidate will have strong analytical and project management skills, with experience in SQL, Power BI, and statistical programming.

Responsibilities include coordinating analytics across initiatives, summarizing insights for business partners, and identifying data access opportunities, all while staying current with new methodologies and technologies.

Qualifications

• Minimum 5 years post-college experience in analytical positions, preferably in retail/Supply Chain.
• Outstanding analytical ability with strong quantitative skills.
• Experience with statistical analysis, regression modeling, and machine learning.

Responsibilities

• Elevate analytical capabilities within the Ross Supply Chain.
• Lead analytics for cross-functional initiatives.
• Independently summarize and communicate insights.

Skills

Analytical ability

Data-driven problem solving

Project management

Business acumen

Detail oriented

Communication

Education

Top-tier college degree

MBA or Master’s degree in a quantitative field

Tools

SQL

Power BI

Tableau

Excel

Python

R

Job description

Our values start with our people, join a team that values you!

General Purpose

The Manager of Data & 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.

Essential Functions

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 such as 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.
• Become the point person/subject matter expert for ad‑hoc questions from cross‑functional business partners.

Competencies

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

Qualifications and Special Skills Required

• 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: data‑driven approach to solving problems with strong quantitative skills and a good sense of how to structure problems.
• Project Management: ability to set priorities between multiple projects and deadlines, and keep senior team updated frequently.
• Detail‑oriented approach: close attention to details and the drive to get things right.
• Strong fundamental business skills (especially analytic): experience 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: ability to build effective working relationships across the organization; ability to listen, understand, and communicate with executives at all levels and translate data analyses into recommendations in a clear, understandable way.
• Experience with statistical analysis, regression modeling, data mining, and machine learning.

Physical Requirements/ADA

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 role requires regular in‑office presence, including to engage in in‑person team interaction, meetings and collaboration, client support, mentoring, coaching, and/or feedback. However, this role can perform duties effectively using a combination of in‑office and remote work.

Disclaimer

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.

Equal Employment Opportunity Statement

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.