WHAT’S NEEDED – BASIC QUALIFICATIONS

• 5+ years of relevant analytics experience, ideally within Revenue Management, Pricing Analytics, or related fields.
• Hands-on experience with Alteryx or similar tools for data wrangling, automation, and workflow design.
• Proficiency with SQL and 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

• Advanced Alteryx Designer Certification.
• Experience with modern cloud data warehouses, with Snowflake experience strongly preferred.
• Strong ability to balance technical rigor with business context, ensuring analytics solutions create measurable financial and operational impact.
• 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

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability

• Develop and maintain scalable, high-quality analytics solutions, reports, and visually compelling dashboards that meet business requirements.
• Leverage SQL, Alteryx, ETL processes, and data visualization platforms (Tableau, Power BI) to manage, analyze, and transform data into actionable insights.
• Collaborate with cross-functional partners (Finance, Sales, Revenue Management, and Merchandising) to identify data needs and deliver analytics solutions that support business strategies and operational goals.
• Conduct deep-dive analysis on business trends, performance, and customer behaviors to inform decision-making.
• Build and maintain predictive models to support forecasting, 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.