Amazon Associate Jobs in Provo, UT (NOW HIRING)

• Analyze and update short-term demand forecasts and place weekly orders for assigned brands
• Build and maintain 3, 6, and 9 month ordering plans with support from senior managers
• Prepare monthly demand, sales, and receipt forecasts and review them internally before sharing externally
• Align with brand management on agreed-upon ordering strategies and execution
• Identify forecast deviations and recommend corrective actions with guidance
• Participate in brand calls and independently lead portions of discussions as confidence grows

• Bachelor’s degree
• 0–2 years of supply/demand planning, buying, or analytical experience
• Strong working knowledge of Microsoft Excel, including pivot tables
• Exposure to ERP systems and inventory workflows
• Strong organizational skills and ability to manage recurring forecasting cycles
• Understanding of basic retail KPIs
• Developing interpersonal and communication skills

• You give 100% to all tasks and projects you are given
• You actively comment and participate in group collaborations
• You will take full ownership of your projects and follow through to completion
• You follow through with all assignments in a timely manner
• You are flexible and can prioritize and pivot based on the business needs

• This role builds the technical and analytical foundation needed to advance into an Inventory Manager role. You will deepen your forecasting skills, brand relationship management, and operational decision-making while receiving regular feedback and mentorship.

• This team is collaborative and execution-focused. Associate Inventory Managers work closely with Inventory Managers and senior team members on shared goals and improvement initiatives. You will report into an Associate Director of Inventory Management, with increasing autonomy over time.

• Game Changers: A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.
• Data Fanatics: A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
• Partner Obsessed: An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
• Team of Doers: Someone who is a part of team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.

• Initial phone interview with Pattern’s talent acquisition team
• Video interview with a hiring manager
• Onsite/video interview with another member of the team
• Professional reference checks
• Executive review
• Offer

• Be prepared to talk about educational and professional accomplishments with specific data to quantify examples
• Be ready to talk about how you can add value and be the best addition to the team
• Focus on mentioning how you would make a difference at Pattern
• Be prepared to talk about any side projects related to data and analytics

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.