Hybrid Store Ops Analytics Lead – Continuous Improvement

Ross Stores; Dublin (CA); Hybrid; USD 97,000 - 146,000; Full time

Job summary

Ross Stores, a leading off-price retail chain with a nationwide presence, seeks a Continuous Improvement Analytics Lead to drive data-driven enhancements in Store Operations. You will analyze labor, payroll, and operational data, build dashboards, and optimize decision-making with Power BI, SQL, and predictive insights.

The role emphasizes cross-functional partnership with IT, Finance, Strategy, and Loss Prevention, delivering measurable improvements and ROI.

Qualifications

• Bachelor's degree required (preferably in Finance, Analytics, Engineering, or related field).
• 7-10 years post college experience, preferably with a top-tier consulting firm or retailer.
• Experience in retail, operations, business analysis, and continuous improvement strongly preferred.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication and presentation skills with the ability to influence cross-functional partners.
• Strong project management, organizational, and prioritization skills.
• Technical proficiency in data analysis, reporting, and business intelligence tools (Microsoft Power BI, Tableau, SQL, Python).
• Ability to drive process improvement, change management, and execution of initiatives.
• Experience with labor planning, labor standards, or payroll analytics preferred; MOST® labor standards experience strongly preferred.
• Experience with MasterCard Test & Learn preferred.

Responsibilities

• Lead the analysis, development, implementation, and measurement of operational improvement initiatives that enhance customer experience, associate experience, and business performance.
• Analyze complex operational, labor, payroll, and business data to identify trends, opportunities, and actionable insights that support decision-making.
• Develop and maintain reporting, dashboards, and visualizations using tools such as Power BI, Excel, Snowflake, and other analytics platforms.
• Serve as a subject matter expert on store labor and payroll models, supporting ongoing maintenance, optimization, and continuous improvement efforts.
• Partner with cross-functional teams, including Store Operations, Store Planning, Strategy, Finance, Loss Prevention, and IT, to identify opportunities and deliver scalable solutions.
• Collaborate with IT and business stakeholders to define requirements and support the development of reporting tools, systems, and user-facing solutions.
• Conduct financial and operational impact analyses, including ROI assessments, to evaluate opportunities and prioritize initiatives.
• Monitor industry trends, emerging technologies, and retail AI capabilities to identify opportunities for innovation and operational efficiencies.
• Develop decks, business cases, and written communications that effectively convey insights, recommendations, and project outcomes to leadership.
• Support change management and adoption efforts by developing training materials, process documentation, and job aids that promote consistent execution and sustainable results.

Skills

Analytical thinking

Communication

Problem solving

Project management

Critical thinking

Education

Bachelor's degree

Tools

Power BI

Tableau

SQL

Python

Excel

Snowflake

Job description

Ross Stores, a leading off-price retail chain with a nationwide presence, seeks a Continuous Improvement Analytics Lead to drive data-driven enhancements in Store Operations. You will analyze labor, payroll, and operational data, build dashboards, and optimize decision-making with Power BI, SQL, and predictive insights.

The role emphasizes cross-functional partnership with IT, Finance, Strategy, and Loss Prevention, delivering measurable improvements and ROI.