Demand Planning Analyst

Fullscript
Boston, MA
About Fullscript

We’re an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.

That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.

We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.

This is your invitation.

Bring your ideas, your grit, and your care for people.

Join us and shape the future of care.

ABOUT THE ROLE:

The Demand Planning Analyst plays a critical role in executing Fullscript’s demand planning process, supporting the development and maintenance of accurate SKU-level forecasts that drive business performance.

This position partners cross-functionally with commercial, marketing, finance, category management, and supply chain teams to ensure alignment between forecast, inventory, and business objectives.

This role is also responsible for key demand planning data and system management, and reporting on core KPIs for various stakeholders.

Working under the guidance of the Demand Planning Manager, the Analyst leverages data-driven insights and forecasting tools to improve visibility, accuracy, and efficiency across demand plans — enabling optimized inventory health, strong supplier performance, and exceptional in-stock rates.

What You'll Do:

  • Demand Forecasting:
  • Develop and maintain reliable and accurate short-term and long-term demand forecasts (up to 12+ months) based on historical sales data, promotions, seasonality, and market intelligence, integrated with robust statistical analysis and business intelligence aligned with best practices defined by the Demand Planning Manager
  • Leverage best demand planning practices and strategic forecasting methodologies within the planning and replenishment system to continuously prove forecast accuracy
  • Collaborate with commercial, marketing, finance, and supply chain teams to gather essential input, and incorporate feedback into the demand forecast to drive consensus and alignment across the organization
  • Utilize advanced forecasting tools and techniques to improve forecast accuracy and reliability across various time intervals, including identifying patterns, trends, and anomalies in historical data
  • Monitoring and adjust SKU forecasts to reflect changes in market conditions, product lifecycle stages, and evolving business priorities
  • Conduct weekly and monthly forecast accuracy analysis and exception reviews to proactively identify adjustments, highlight key variances, and maintain the integrity of the demand plan
  • Functional Activities:
  • Track and report on forecast accuracy and bias at the SKU, category, and brand level, monitoring demand patterns and highlighting exceptions requiring cross-functional review
  • Collaborate closely with supply chain and procurement teams to ensure timely replenishment and inventory alignment with forecasted demand, highlighting sales risk.
  • Participate in brand and category business reviews, bringing visibility into the demand plan forward looking projections
  • Execute new product introduction forecasting and discontinuation (product lifecycle) processes within the planning and replenishment tool
  • Data Analysis and Reporting:
  • Analyze demand patterns, market trends, and customer behaviors to identify potential risks and opportunities
  • Track and report on demand planning KPIs, such as forecast accuracy and bias
  • Maintain and update relevant demand planning master data within the planning and replenishment system of record
  • Use data-driven insights to recommend actions and strategies to improve demand planning processes and drive category and brand strategy, and execute these actions within planning and replenishment tools
  • Process Improvement:
  • Serve as a business user Subject Matter Expert (SME) for demand planning systems and tools
  • Identify opportunities to improve forecasting models, automate reporting, and enhance process efficiency
  • Contribute to process standardization and best-practice sharing within the demand planning function
  • Collaboration and Communication:
  • Collaborate with sales, marketing, and finance teams to gather inputs, validate assumptions, and align forecasts with business strategies
  • Partner with category and brand managers as well as suppliers to understand promotional activities, new product launches, and supply constraints
  • Support the Sales, Inventory, and Operations Planning (SIOP) process by participating in regular meetings with key stakeholders to review demand forecasts, inventory status, market dynamics, and providing accurate data and scenario analyses

What You Bring:

  • Bachelor’s degree in Supply Chain Management, Business Administration, Economics, Statistics, or a relevant quantitative field
  • Master’s degree or professional certifications such as APICS CPIM, CSCP, or IBF CPF preferred
  • 2–5 years of experience in demand planning, forecasting, or supply chain analysis (retail, CPG, or distribution preferred, with S&OP experience preferred)
  • Knowledge of statistical forecasting methodologies and the ability to use complex statistical models
  • Strong execution skills, ability to work both strategically and tactically
  • Proven experience in demand forecasting, inventory management, and data / forecasting KPI analysis
  • Experience with replenishment/demand planning software and tools (e.g., SAP, Oracle, JDA, Blue Ridge)
  • Ability to identify and escalate structural issues in forecasting processes, propose data-driven solutions, and support implementation efforts across the business
  • Detail-oriented with a focus on accuracy and continuous improvement
  • Ability to thrive in a fast-paced and dynamic environment with high adaptability to change and a bias for action

Why You'll Love Fullscript:

  • Market competitive compensation package including equity
  • RRSP matching (within CAD)//401K matching (within US)
  • Flexible PTO policy
  • Flexible benefits package and additional perks
  • Employee discount on Fullscript catalog of products for family & friends
  • Ability to *Work Wherever You Work Well*

Why Fullscript

Great work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door.

What To Know Before You Apply

We’re grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page. We’re not able to respond to individual messages about open roles on email or social channels.

Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at [email protected].

All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.

We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.

Learn More

@fullscriptHQ on instagram

Let’s make healthcare whole

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
Posted 2025-12-20

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