Engineer, Industrial

Ross Stores; Carlisle (Cumberland County); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Ross Stores seeks a Productivity Engineer to develop and implement engineered production standards and best-method practices in a high-volume distribution environment.

The role collaborates with Operations Managers to standardize conditions, analyze data using SQL and MS Access, and support labor forecasting and incentive reporting. Occasional travel and a mix of in-office/remote work are required.

Qualifications

• Knowledge of SQL or MS Access databases.
• Strong mathematical and analytical capabilities.
• Time study, work measurement, and warehouse data collection experience preferred.
• Operations knowledge of distribution and related processes preferred.
• Bi-lingual English/Spanish preferred.
• Availability to work varying schedules across shifts; travel up to 50%.

Responsibilities

• Develops engineered labor standards and best-method practices for multi-variable production operations.
• Identifies improvements in methods, procedures, and workflow to increase productivity and reduce costs.
• Coordinates implementation of engineered methods, standards, and reporting systems with associates, supervisors, and directors.
• Maintains production reporting applications and interfaces with timekeeping, WMS and labor systems.
• Executes queries and reports for data used in engineering analysis; maintains SQL/MS Access based apps.

Skills

SQL

MS Access

Mathematical analysis

Data collection

Education

B.S. degree in STEM/Industrial Engineering

Job description

GENERAL PURPOSE

The Productivity Engineer is responsible for the development, implementation, documentation, and support of the engineered production standards as well as the development and implementation of best-method practices in a high volume distribution and logistics operation. Additional responsibilities include maintaining the SQL based Production Recording and the Labor Management System, along with developing and executing queries used in engineering analysis. The Productivity Engineer works directly with Operations Managers and Supervisors during the development and implementation of best methods, standard conditions and the engineered labor standards. The Productivity Engineer collaborates with counter parts across the network to ensure methods and standards are consistent.

ESSENTIAL FUNCTIONS

• Develops best methods, standard conditions and engineered labor standards for multi-variable production operations.
• Identifies and evaluates improvements in methods, procedures, and workflow that increase productivity, and decrease operating cost.
• Coordinates the implementation of engineered methods, standards, and reporting systems - including conducting standards introduction meetings and analysis presentations with associates, supervisors, managers and directors.
• Maintains the configuration and assists in the development of the production reporting applications and related interfaces with timekeeping, warehouse management and labor productivity systems.
• Executes queries and reports for the collection of data used in engineering analysis. Maintains the existing data collection applications along with other SQL and MS Access based applications used in conjunction with the standards program.
• Collects and summarizes time study and work sampling data to support development of engineered labor standards.
• Maintains knowledge of production and incentive pay reporting applications. Assists with trouble-shooting data entry, reporting, and data collection problems.
• Assists in the development of processes and mechanisms for labor forecasting, staffing, modeling, incentive performance/bonus reporting and tracking and other reporting as required to support management of engineering projects.
• AdviseS and assists management with labor analysis and economic justification studies. Assists operating management with implementation of changes to established methods.

ESSENTIAL FUNCTIONS (cont.)

COMPETENCIES

• Technical / Functional Competence
• Commitment
• Adaptability
• Communication
• Planning & Organizing
• Analysis & Judgment

QUALIFICATIONS & SPECIAL SKILLS REQUIRED

• Knowledge of SQL or MS Access databases
• Strong Mathematical and analytical capabilities
• Time study, work measurement, and warehouse floor data collection experience preferred
• Operations knowledge of distribution and related processes preferred
• Ability to effectively communicate and interact with non-exempt associates, operational supervisors, and upper level management. Bi-lingual English/Spanish preferred
• Available to work varying schedules across 1st, 2nd and 3rd shifts as needed
• The ability to think in terms of process flow and identify operational component operations and interrelationships
• Detail-oriented with strong organizational and technical writing skills
• Experience in using PCs in a professional setting - developing and using standard applications such as spreadsheets, and word processors as typical tools to execute

EDUCATION / CERTIFICATIONS

B.S. degree in STEM with Industrial/Systems Engineering preferred equivalent field or proven experience in engineering field.

PHYSICAL REQUIREMENTS

• Consistent timeliness and regular attendance
• Job requires ability to work in an office environment, primarily on a computer
• The job also requires sitting, standing, walking, talking on the telephone, attending in-person meetings, typing, and working with paper/files, etc
• Job occasionally requires standing, walking, reaching, talking, hearing, and lifting up to 10 pounds
• This role requires full-time in-office presence, including to engage in in-person team interaction, meetings and collaboration, client support, mentoring, coaching, and/or feedback
• However, this role can perform duties effectively using a combination of in-office and remote work
• Up to 50% travel. Will require frequent driving and/or traveling overnight for business functions or site visits. Contingent on project and site support related requirements

SUPERVISORY RESPONSIBILITIES

None