Data Analytics Manager - Supply Chain

Ross Stores, Inc.; Fort Mill (SC); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Ross Stores, Inc. is seeking a Manager of Data & Analytics to elevate analytics capabilities within the Ross Supply Chain and lead advanced analyses for strategic initiatives.

You will partner with Engineering and cross-functional teams to drive data-driven decision making and adopt new methodologies and tools. The role emphasizes building analytics roadmaps, delivering actionable insights, and presenting results clearly to senior leadership.

Qualifications

• Strong analytic skills with recent work experience writing MS SQL or Oracle SQL queries.
• Proficient in Excel and PowerPoint, and have experience in Power BI or Tableau.
• Outstanding analytical ability: data-driven approach to solving problems with strong quantitative skills.
• Minimum 5 years post college experience in analytical roles; retail/Supply Chain preferred.
• Project Management: ability to set priorities across multiple projects and deadlines; keep leadership updated.
• Detail-oriented with close attention to accuracy and quality of work.

Responsibilities

• Perform practical, action oriented, data analysis to diagnose business problems, optimize approaches and measure impact.
• Lead analytics for cross-functional initiatives with Marketing, Planning, Store Ops, DCs and others.
• Serve as Subject Matter Expert for analytics on projects.
• Support diverse analyses: large data sets, models, statistical analysis; leverage off-price/Ross knowledge to drive insights.
• Independently summarize and communicate insights and recommendations to business partners.
• Develop and communicate data-driven roadmaps for advanced analytics; adopt new techniques.
• Keep abreast of new analytic methodologies; provide training as needed.
• Build compelling materials to present results to stakeholders.

Skills

SQL queries

Excel

PowerPoint

Power BI

Tableau

Analytical thinking

Project management

Quantitative skills

Education

MBA or Master’s degree in a quantitative field

Tools

MS SQL

Oracle SQL

Job description

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

Bring your talents to Ross, our leading off-price retail chain with over 2,200 stores, and a strong track record of success and growth. Our focus has always been bringing our customers a constant stream of high-quality brands and on-trend merchandise at extraordinary savings. All while providing a fun and exciting treasure hunt experience.

As Part Of Our Team, You Will Experience

• Success. Our winning team pursues excellence while learning and evolving
• Career growth. We develop industry leading talent because Ross grows when our people grow
• Teamwork. We work together to solve the hard problems and find the right solution
• Our commitment to Diversity, Equality & Inclusion, and our community. We celebrate the backgrounds, identities, and ideas of those who work and shop with us because our differences make us stronger. We strive to be a positive force in our community.

Our Corporate headquarters are in Dublin, CA, we have 3 buying offices in key markets in New York City, Los Angeles, and Boston, and 8 distribution centers nationwide. With 2023 revenues of $20.4 billion, we are a Fortune 500 company who is committed to providing an inclusive work environment with continuous learning opportunities and development for our teams.

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 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.

COMPETENCIES

• Problem Solving
• Technical/Functional Skills
• Business Acumen
• Technical Learning
• Intellectual Horsepower
• Peer Relationships/Collaboration
• Learning on the Fly
• Drives Results

Qualifications & Special Skills Required

• Strong analytic skills with recent work experience writing MS SQL or Oracle SQL queries
• Must be proficient in Excel and PowerPoint, and have experience in Power BI or Tableau
• 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.
• Minimum 5 years post college experience, with work experience in analytical positions. Relevant retail/Supply Chain experience preferred.
• 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.

EDUCATION / CERTIFICATIONS

• MBA or Master's degree in a quantitative field

Physical Requirements

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

Supervisory Responsibilities

None

DISCLAIMER

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.