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Demand Analytics Planner

Atrium

Secaucus, NJ

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JOB DETAILS
SALARY
$35–$40 Per Hour
SKILLS
Analysis Skills, Artificial Intelligence (AI), Automation, Business Analysis, Business Intelligence, Communication Skills, Consumer Packaged Goods, Continuous Improvement, Cross-Functional, Data Analysis, Data Science, Data Sets, Data Visualization, Data Visualization Tools, Demand Forecasting/Planning, Detail Oriented, Food and Beverage Industry, Forecasting, Genetics, Industrial Engineering, Interviewing Skills, Machine Learning, Manufacturing, Microsoft Excel, Multitasking, Performance Analysis, Performance Management, Personal Care, Power BI, Predictive Modeling, Problem Solving Skills, Process Improvement, Python Programming/Scripting Language, Quality Monitoring, Reporting Dashboards, Risk, Root Cause Analysis, SQL (Structured Query Language), Sales & Operations Process (S&OP), Short Messaging Service (SMS), Statistics, Supply Chain, Supply Chain Management, Testing, Trend Analysis
LOCATION
Secaucus, NJ
POSTED
6 days ago
Client Overview:
Our client is a leading consumer goods company focused on producing and distributing a diverse range of food, home, and personal care products globally. They are now looking for a Demand Analytics Planner.

Salary/Hourly Rate:
$35/hr - $40/hr

Position Overview:
The Demand Analytics Planner is a great opportunity for a data-forward planning professional who is comfortable working with large datasets, building dashboards, evaluating forecasting outputs, and partnering with cross-functional teams to improve forecast performance. This role will help strengthen forecast accuracy, improve planning models, and translate complex data into actionable insights for supply chain, planning, and commercial teams. The ideal candidate has a strong understanding of how analytics can support supply chain planning, forecasting, inventory, and business performance.

Responsibilities of the Demand Analytics Planner:
  • Support the development and refinement of baseline forecasts used within the monthly S&OP planning cycle.
  • Analyze forecast performance across item, category, and site levels to identify trends, gaps, and opportunities for improvement.
  • Evaluate forecasting models through input testing, model diagnostics, root cause analysis, and performance monitoring.
  • Partner with planning, analytics, and business teams to improve machine learning forecast interpretability and overall model quality.
  • Build and maintain reporting tools and dashboards, including Power BI visualizations using data from multiple sources.
  • Monitor forecast quality and proactively flag areas of degradation, risk, or recurring error.
  • Support continuous improvement initiatives focused on reducing forecast error and improving planning accuracy.
  • Leverage AI tools, automation, and analytics techniques to streamline reporting and strengthen decision-making.
  • Translate data findings into clear business recommendations for supply chain and cross-functional stakeholders.
  • Collaborate with internal teams to improve planning routines across daily, weekly, and monthly demand analytics processes.
Required Experience/Skills for the Demand Analytics Planner:
  • 2-4+ years of experience in demand planning analytics, supply chain analytics, data analytics, business intelligence, or a related analytical role.
  • Hands-on experience building dashboards, reports, or data visualization tools, preferably in Power BI.
  • Strong analytical background with experience working with large datasets from multiple sources.
  • Comfortable performing root cause analysis, identifying patterns, and turning data into actionable insights.
  • Strong Excel skills; experience with SQL, Python, Power Query, DAX, or similar tools is a plus.
  • Ability to communicate technical findings to non-technical business stakeholders.
  • Strong problem-solving skills, attention to detail, and ability to manage multiple priorities in a fast-paced environment.
  • Experience in CPG, food & beverage, manufacturing, or supply chain environments is a plus.
Preferred Experience/Skills for the Demand Analytics Planner:
  • Exposure to forecasting, machine learning models, AI-driven analytics, or predictive planning tools is strongly preferred.
  • Experience in CPG, food & beverage, manufacturing, or supply chain environments is a plus.
Education Requirements:
  • Bachelor's degree in Supply Chain, Data Engineering, Business Analytics, Data Science, Statistics, Industrial Engineering, or a related field.
Benefits:
  • Atrium offers Medical, Dental, Vision, 401K, PTOs, and many more!
About Atrium:What you do matters. Guided by our Applicant-Centric™ approach, we foster an environment of collaboration, high performance, and innovation where your talents are valued, and your achievements are celebrated. Join us and become part of an inclusive team committed to your growth and success.
By applying to this job, you agree to receive calls, AI-generated calls, text messages, and/or emails from Atrium and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to opt out on any message you receive. For more details, please review our Terms of Use and Privacy Policy .

As a woman-owned firm, we value diversity. We are an equal opportunity and affirmative action employer and will consider all applications without regard to race, sex (including gender, pregnancy, sexual orientation and gender identity), age, color, religion or creed, national origin or ancestry, veteran status, disability (physical or mental), genetic information, citizenship or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Candidates who apply for roles through the Atrium website will be added to our candidate pool and may be considered for additional roles of a similar title. Please contact us to request an accommodation.
EOE/M/F/D/V/SO

Position ID: 394075

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