SIOP Data Analyst

Overview

Analyzes and interprets data related to sales, inventory, and operations planning to support effective decision-making. Ensures the integration of data from multiple sources to improve forecasting accuracy, optimize inventory levels, and enhance overall supply chain efficiency.

Responsibilities

Job Responsibilities

Collects, analyzes, and interprets data related to sales, inventory, demand forecasts, and production schedules to support SIOP processes.

Assists in developing accurate demand forecasts by analyzing historical data, market trends, and sales patterns. Identifies discrepancies between actual and forecasted demand and recommends adjustments.

Monitors inventory levels and analyzes inventory turnover rates to ensure optimal stock levels. Identifies opportunities to reduce excess inventory while preventing stockouts.

Generates regular reports and dashboards on key performance metrics, such as forecast accuracy, inventory levels, and service levels. Provides insights and recommendations to improve supply chain performance.

Works closely with cross-functional teams, including sales, production, and supply chain, to ensure alignment on demand and supply plans.

Identifies areas for improvement in the SIOP process and implements best practices to enhance data accuracy, forecasting, and overall supply chain efficiency.

Ensures the accurate integration of data from various sources, including ERP and supply chain management systems, to support decision-making.

Performs other duties as assigned.

Job Skills Requirements

• Strong analytical skills and the ability to work with large data sets.
• Proficiency in data analysis tools such as Excel, SQL, or data visualization software (e.g., Power BI, Tableau).
• Experience with ERP systems and familiarity with SIOP processes.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to present data insights to stakeholders.
• Knowledge of lean manufacturing and supply chain optimization practices.
• Experience with statistical forecasting and inventory management techniques.

Educational Requirements

• Bachelor's degree in supply chain management, data analytics, business administration, or a related field, or equivalent experience required.

Experience Requirements

• Three years of experience in data analysis, demand planning, or supply chain management, preferably in a manufacturing or distribution environment.

Qualifications

 

Why Work for MEC?

We don’t want to brag, but we are honored to be the largest fabricator in the nation for 10 years in a row. In fact, you can find MEC on the New York Stock Exchange (NYSE: MEC). This would not be possible without the hard work and dedication from our 2,500 plus team members. MEC is employee-owned company meaning that what YOU do on an everyday basis impacts our success as a company.  We’re also proud to be a company that is highly involved and actively supports the communities in which our facilities are located. 

 

Founded in 1945, MEC is a manufacturer that provides a broad range of Prototyping, Metal Fabrication, Tube Bending, Machining, Welding, Coating, and Value-Added Assembly services to a variety of markets including Commercial Vehicle, Power Sports & Recreational Vehicles, Agriculture, Construction & Forestry, Military, Mining, Automotive, and Power Generation companies. We continue to have an aggressive growth plan, operating 19 manufacturing facilities that are strategically located near its customers in eight states.

 

What Does It Take to Be a Fit for This Role?

 

EDUCATION and/or EXPERIENCE

Excellent data analysis skills, ideally including background knowledge of statistical forecasting software with a desire to understand the data to drive solutions.

 

COMMUNICATION/LANGUAGE SKILLS

Strong written and oral communication skills; required to communicate effectively with various levels of staff and departments.

 

MATHEMATICAL/ANALYTICAL SKILLS

Advanced math skills to perform calculations; Analytics to process data and factor all relevant demand details; Statistical data experience preferred.  Highly detail oriented.

 

COMPUTER SKILLS

Strong computer acumen requires ability to work in multiple ERP systems.

 

WORK ENVIRONMENT

High energy and able to prioritize and multitask in fast paced and rapidly changing environment; resourcefulness and advanced problem-solving abilities required.