Fast Facts

We are seeking a Manager of Inventory Forecasting & Analytics to enhance our inventory systems, ensuring optimal stock levels and data-driven decision-making in our publishing team. This remote-friendly role focuses on collaboration and the development of innovative forecasting models to better serve authors and readers alike.

Responsibilities: Key responsibilities include building and maintaining inventory forecasting models, analyzing datasets for sales behavior, collaborating with teams for real-time demand adjustments, and implementing scalable reporting tools for inventory decisions.

Skills: Required skills include 3-5+ years in inventory or operations analytics, proficiency in SQL, familiarity with SAP systems, and experience with modern BI tools such as Power BI.

Qualifications: Preferred qualifications include publishing experience, exposure to machine learning or Python/R, and experience in building integrated dashboards across systems.

Location: This position is fully remote, available in specified US states or hybrid in Naperville, IL or New York, NY.

Compensation: $90000 - $110000 / Annually

We are looking for a Manager of Inventory Forecasting & Analytics to join our fast-paced publishing team. In this highly impactful role, you will lead the creation of smarter inventory forecasting models and tools that enable better, faster decisions across the organization. Your work will directly shape how we buy, hold, and manage inventory - and help ensure our books are always available for readers. You’ll work closely with teams across data, automation, and AI to drive scalable process improvements and enable data-driven operations planning for our authors and titles. If you’re analytically curious, systems-minded, and eager to see your work make a real difference - this is the role for you.

This position can function 100% remotely from the following states: Illinois, Arizona, Connecticut, Louisiana, Massachusetts, Maryland, Michigan, Minnesota, Nevada, New Jersey, New York, Oregon, Pennsylvania, Tennessee, Texas, Washington, and Wisconsin. The position also allows for a hybrid work schedule at our Naperville or New York, NY office if desired,

This is an exempt, salaried position with an annual salary between $90,000 - $110,000. We determine starting pay based on a thorough evaluation of job-related factors, including geographic location, market conditions, relevant experience, training, and education. This process ensures a fair and competitive salary that aligns with both the company and the candidate’s qualifications. 

What You'll Be Doing:

• Build and maintain inventory forecasting models and tools to optimize stock levels, reduce overstock, and minimize out-of-stock risk
• Analyze large, complex datasets to model sales behavior, recommend retailer set quantities, and guide reprint decisions
• Collaborate with sales, marketing, and operations teams to quickly adjust forecasts based on real-time demand signals
• Design, implement, and automate scalable reporting tools that support timely and accurate inventory decisions
• Identify and close process and reporting gaps, partnering with key stakeholders across the organization
• Monitor key performance indicators (e.g., inventory turn, forecast accuracy) and proactively address deviations
• Participate in operations planning for new title launches, taking ownership of forecasting strategy
• Lead initiatives to improve visibility, automation, and predictive capability across inventory processes
• Provide insights, documentation, and training to support adoption of new tools and ensure process consistency

What your bring:

• 3-5+ years of experience in inventory, operations, or supply chain analytics (publishing experience a strong plus)
• Familiarity with SAP Business One or SAP S4 Hana; experience integrating analytics and reporting with SAP systems is a strong plus
• Proficiency with SQL for querying ERP or warehouse systems
• Experience with Power BI, Power Query, or other modern business intelligence tools
• Exposure to or interest in using LLM/machine learning, Python or R for data analysis, automation, or statistical forecasting (even light exposure is valuable)
• Experience building dashboards or inventory tools that integrate across systems (e.g., ERP, CRM, and BI platforms)
• A strong analytical mindset with the ability to translate data into actionable recommendations
• Meticulous attention to detail and a passion for accuracy and integrity in data

Why Sourcebooks? 

As Newsweek’s #2 Most Loved Workplace in 2024 and a recognized leader in innovation by Fast Company (2024 Most Innovative Companies, 2023 Best Workplaces for Innovators), we use a mission-driven, data-centered approach to drive success for our authors and their books. We’re a thriving entrepreneurial company that creates books that transcend categories and defy odds, and we’ve been honored with hundreds of national bestsellers and awards. We are passionate book lovers dedicated to connecting books to readers in innovative ways. Story by story, book by book, we have changed more than 300 million lives. Join us as we change 300 million more! 

Ready to Apply:

Our culture is driven by energetic thinkers who possess leadership qualities and the desire for personal growth. If you possess these qualities, come grow with us! Please submit your resume, cover letter, and salary requirements. Resumes without a cover letter will not be considered.

Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care, Dependent Care, Flexible Spending Account, Health Savings Account 401(k), Short and Long-Term Disability Insurance, Life/AD&D Insurance, & generous paid time off. 

Sourcebooks values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.