Demand Planner

Riviana Foods•Houston, TX

1d•Onsite

About The Position

Riviana Foods Inc. is seeking an analytical and technology-driven Demand Planner with 3–5 years of experience in forecasting and supply chain planning. This role partners closely with Sales, Marketing, Supply Chain, Operations, and Finance teams to develop data-driven demand plans, optimize inventory, and support business growth.

Requirements

B.S/B.A. Industrial Engineering, Business or Supply Chain/Operations Management preferred
3–5 years of experience in demand planning, forecasting, or supply chain planning.
Strong hands-on experience with SAP APO and/or SAP IBP.
Knowledge of statistical forecasting models and demand planning methodologies.
Advanced Microsoft Excel skills.

Nice To Haves

APICS certifications is a plus.
Oliver W. certifications is a plus.
Excellent verbal and written communication skills, with the ability to effectively collaborate across multiple departments and levels within the organization.
Strong analytical abilities, including advanced proficiency with software tools and systems to support data analysis and decision-making.
Ability to perform effectively in a team-oriented, fast-paced, and high-pressure environment.
Demonstrated problem-solving skills with a proactive and detail-oriented approach.
Proven ability to work cross-functionally and build strong working relationships across teams.
Collaborative team player with a continuous improvement mindset and a commitment to operational excellence.

Responsibilities

Develop and maintain accurate demand forecasts using historical sales data, statistical models, market trends, and business inputs.
Utilize SAP APO and SAP IBP (once implemented) for demand planning, forecasting, scenario analysis, and supply planning collaboration.
Analyze forecast accuracy, bias, and key demand drivers to continuously improve planning performance.
Support S&OP / IBP processes through cross-functional collaboration with internal stakeholders.
Apply statistical forecasting methods and predictive analytics techniques to improve forecast reliability.
Explore and support AI-enabled forecasting and automation opportunities within planning processes.
Monitor inventory levels, product availability, and supply risks to recommend corrective actions.
Evaluate promotions, seasonality, new product launches, and market trends to adjust forecasts proactively.
Create dashboards, KPIs, and planning reports for leadership and operational teams.
Identify process improvement opportunities and support digital transformation initiatives in supply chain planning.