Staples is business to business. You’re what binds us together.
Our talented finance team partners with every area of the business to drive results and provide financial expertise. We are passionate about analyzing and interpreting information to assess performance and provide guidance. Our team serves as a true partner and advisor to all our business leaders, working with them to accelerate the company’s profitability and growth.

WHAT’S NEEDED - BASIC QUALIFICATIONS:

• At least 5+ years of relevant analytics experience, ideally within Revenue Management or Pricing Analytics.
• Experience with data wrangling and transformation tools such as Alteryx.
• Proficiency with business intelligence platforms such as Tableau or Power BI.
• Familiarity with Python or similar scripting languages for advanced analytics is a plus.

WHAT’S NEEDED - PREFERRED QUALIFICATIONS:

• Working knowledge of big data technologies and analytics platforms, with Snowflake experience strongly preferred.
• Demonstrated ability to stay current with BI tools and emerging trends like AI-driven analytics and machine learning.

We Offer:

• Inclusive culture with associate-led Business Resource Groups
• Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays)
• Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more perks and benefits

• Develop and maintain scalable, high-quality analytics solutions, reports, and visually compelling dashboards that meet business requirements.
• Leverage SQL, ETL processes, and data visualization platforms such as Tableau or Power BI to manage, analyze, and transform data into actionable insights.
• Collaborate with cross-functional teams to identify data needs and deliver analytics solutions that support pricing strategies and operational goals.
• Conduct deep-dive analysis on business trends, pricing performance, and customer behaviors to inform decision-making.
• Build and maintain predictive models to support forecasting, pricing strategies, and business optimization.
• Continuously improve and automate data pipelines, workflows, and reporting capabilities to enhance analytics infrastructure.
• Troubleshoot and resolve data-related issues, providing technical solutions to ensure data accessibility and usability.
• Continuously seek opportunities to innovate, improving our reporting and analytics capabilities.
• Perform ad-hoc analyses as required to support business needs.