Operations & Production Analyst

at  Workforce Group

We are seeking to hire an Operations & Production analyst for our client, a leading smartcard manufacturing plant and the fastest-growing digital solution provider in Africa. 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.
Job Title: Operations & Production Analyst
Employment Type: Full Time
Salary: Attractive
Experience: 2 – 3 years working experience
Location: Lagos

Educational & Professional Requirements

• A bachelor’s degree in business or a technical field (Engineering, Computer Science

experience.

• Minimum of 2 – 3 years’ work experienc

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 playe

1. 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.
2. 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.
3. 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).
4. Use data to identify manufacturing problem areas, enhance production conditions, and
   save waste by monitoring yield.
5. Look at COGS to find ways to cut costs, improve production methods, and boost
   profitability.
6. Analysis variables including resource allocation, waste reduction, energy use, and process
   optimization to promote cost reduction initiatives.
7. 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.
8. 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.
9. Monitor WIP to spot production bottlenecks, reorganize processes and shorten cycle
   times and report on same.
10. Keep an eye on energy use to spot chances to boost energy efficiency, streamline
    manufacturing, and lessen the effect on the environment.
11. Monitor and report on indicators of adherence to regulatory and scheme compliance to
    spot problem areas, put right the wrong things, and reduce risks.
12. Evaluate lead-time to optimize production schedules, speed up order fulfillment, and
    improve customer satisfaction.
13. Check forecast and budget accuracy to improve production planning, control inventory
    levels and reduce supply chain interruptions.
14. Keep track of inventory turnover.
15. Generate reports that aid ROI analysis to prioritize investments, make data-driven choices
    to promote financial success.
16. Gather insightful information, identify areas for development, and promote operational
    excellence in the manufacturing process by using the listed KPIs and analytics.

Educational & Professional Requirements

• 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.

• Minimum of 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