Operations & Production Analyst

• A Bachelor's Degree in Business or a technical field (Engineering, Computer Science, Information Technology, or related field) with relevant professional and business analyst experience.
• 2 - 3 years work experience

Competencies & Skills:

• Strong analytical and organizational skills, with thorough attention to detail.
• Proficiency with database management systems
• Good working knowledge of Java, Linux, Unix, SQL
• Proficient with Microsoft Office Suite, especially Excel (Advanced knowledge)
• Strong time management, multi-tasking and problem solving skills
• Presentation, listening skills with verbal and written communication skills
• Incidence management skills
• Customer Service and interpersonal skills
• Team player.

• A Bachelor's Degree in Business or a technical field (Engineering, Computer Science, Information Technology, or related field) with relevant professional and business analyst experience.
• 2 - 3 years work experience

Competencies & Skills:

• Strong analytical and organizational skills, with thorough attention to detail.
• Proficiency with database management systems
• Good working knowledge of Java, Linux, Unix, SQL
• Proficient with Microsoft Office Suite, especially Excel (Advanced knowledge)
• Strong time management, multi-tasking and problem solving skills
• Presentation, listening skills with verbal and written communication skills
• Incidence management skills
• Customer Service and interpersonal skills
• Team player.

• The ideal candidate must Document and study existing production processes, identify points of inefficiency or potential disruptions, and recommend solutions that can streamline operations and improve efficiency.

Duties

• Analyze and report OEE (Overall Equipment Effectiveness) to assess both the effectiveness of the production process and the performance of industrial equipment.
• Evaluate equipment uptime/availability by calculating the proportion of time it is accessible for production. This may be impacted by repairs, malfunctions, or transitions.
• Monitor and report on equipment performance to evaluate the speed at which equipment functions in relation to its optimum capacity, assessing variables such as cycle duration, output rate, and equipment dependability.
• Keeps track of the proportion of goods that fulfill quality requirements to analyze the rate of production from the manufacturing equipment, that is free of defects.
• Monitor and report on machine downtime to determine the reasons for equipment failures, their frequency, and the need for maintenance and replacements to aid enhancement of machine dependability and reduction of unscheduled downtime using MTBF (Mean Time Between Failures) analysis to aid the understanding of the performance and dependability of equipment, identifying trouble spots, and enhancing maintenance plans.
• Evaluate the manufacturing line's productivity and capacity using cycle time and throughput parameters (the volume of output a manufacturing facility generates in a certain length of time).
• Use data to identify manufacturing problem areas, enhance production conditions, and save waste by monitoring yield.
• Look at COGS to find ways to cut costs, improve production methods, and boost profitability.
• Analysis variables including resource allocation, waste reduction, energy use, and process optimization to promote cost reduction initiatives.
• Provide reports of employee productivity to gauge how effectively labor is used throughout the production process to aid the enhancement of worker distribution and boost overall labor productivity. Identify overstaffing or understaffing issues, improve shift scheduling, and guarantee effective resource allocation by looking at labor usage.
• Identify opportunities to enhance product quality, streamline workflow, and save waste using scrap and rework rates data. Determine the FPY (First Pass Yield ratio -proportion of items that make it through the production process without needing any rework or repairs) that confirms efficient and effective manufacturing operations.
• Monitor WIP to spot production bottlenecks, reorganize processes and shorten cycle times and report on same.
• Keep an eye on energy use to spot chances to boost energy efficiency, streamline manufacturing, and lessen the effect on the environment.
• Monitor and report on indicators of adherence to regulatory and scheme compliance to spot problem areas, put right the wrong things, and reduce risks.
• Evaluate lead-time to optimize production schedules, speed up order fulfillment, and improve customer satisfaction.
• Check forecast and budget accuracy to improve production planning, control inventory levels and reduce supply chain interruptions.
• Keep track of inventory turnover.
• Generate reports that aid ROI analysis to prioritize investments, make data-driven choices to promote financial success.
• Gather insightful information, identify areas for development, and promote operational excellence in the manufacturing process by using the listed KPIs and analytics.