Sr. Demand Planner (Remote)

Balco, Inc.•,

1d•Remote

About The Position

The Sr. Demand Planner will be responsible for creating, maintaining, and continuously improving a rolling 12-month forecast for all items. In this role, they will combine historical demand, customer forecasts, sales input, product activity, and other available information to develop an actionable demand plan. They will coordinate the Sales and Operations Planning meeting and work closely with Sales, Marketing, Supply Chain, and other groups to develop the forecast. The role requires the ability to work effectively with varied and incomplete data sets from both internal systems and customers. RectorSeal is part of the Industrial Products division of CSWI, a publicly traded U.S. company. RectorSeal has an 80+ year track record of growth and success providing unique products to HVAC, Plumbing, and Electrical contractors as well as the commercial construction industry across North America. RectorSeal currently operates from five manufacturing locations in the United States and maintains strong third-party manufacturing and distribution relationships across the world. The ideal candidate will possess strong quantitative and analytical skills, experience developing item-level forecasts, and the judgment to make sound recommendations when data is incomplete or inconsistent. They will be comfortable coordinating cross-functional discussions, challenging assumptions constructively, and engaging tactically in data preparation, forecast maintenance, and process improvement activities.

Requirements

Minimum of five years of experience in demand planning, forecasting, supply chain analytics, business analytics, or a similar role.
Bachelor’s degree in Mathematics, Statistics, Data Science, Economics, Operations Research, Supply Chain, or a related field.
High-level Excel skills and proficiency with relevant business systems and Microsoft applications.
Strong quantitative, analytical, and problem-solving skills, including the ability to form defensible conclusions from incomplete or imperfect data.
Ability to combine, clean, validate, and interpret data from multiple internal and customer sources.
Ability to work independently and as a member of a team.
Excellent interpersonal, presentation, and communication skills.

Nice To Haves

Experience with demand planning, ERP, business intelligence, or statistical forecasting systems.
Working knowledge of time-series forecasting, seasonality, trend analysis, forecast value added, segmentation, and exception-based planning.
Experience using customer-provided forecasts, point-of-sale data, order history, or other external demand signals.
Familiarity with inventory management, supply planning, service-level tradeoffs, and Sales and Operations Planning or integrated business planning processes.
Experience in a manufacturing or distribution environment.

Responsibilities

Create and maintain a rolling 12-month item-level forecast for the full product portfolio, including new, mature, seasonal, promotional, and discontinued items.
Analyze historical sales, orders, customer forecasts, market inputs, promotions, pricing activity, product lifecycle changes, and other demand drivers.
Combine, clean, validate, and reconcile incomplete, inconsistent, or differently structured data sets from internal systems and customers; document assumptions and identify material gaps.
Monitor forecast accuracy and bias, investigate variances, identify root causes, and implement corrective actions with commercial and operational partners.
Prepare for and coordinate the Sales and Operations Planning meeting, including, data preparation, presentation materials, decision tracking, and follow-up.
Maintain forecasting parameters, product hierarchies, customer mappings, and forecast inputs while improving data quality, and planning processes.
Support inventory and supply planning decisions by providing timely, accurate, and clearly documented demand assumptions.
Have a general understand of the products, markets, and customers to be able to make more informed decisions regarding the forecast.
Present forecast changes, assumptions, performance metrics, risks, and recommended actions.
Maintain effective communication with key internal stakeholders.
Identify process problems and data-quality concerns and implement improvements and solutions.