Job Summary
Are you driven by a commitment to manufacturing excellence, data analytics, and ongoing improvement efforts? We seek a proactive and analytically minded Graduate Intern to contribute to factory operational excellence initiatives in a dynamic manufacturing setting.
This position presents a dynamic opportunity to acquire practical experience in the following areas:
Manufacturing Excellence (Manx) seeks a highly skilled professional to drive operational efficiency and quality standards across our production facilities. The ideal candidate will possess a minimum of five years of experience in manufacturing environments, with a strong background in process optimization and lean methodologies. Responsibilities include overseeing production lines, implementing continuous improvement initiatives, and ensuring adherence to rigorous quality control protocols. Proficiency in data analysis and problem-solving is essential, along with the ability to mentor cross-functional teams and foster a culture of accountability. A bachelor’s degree in engineering or a related field is required, and certifications such as Six Sigma or PMP are highly desirable. This role demands exceptional leadership, strategic planning capabilities, and a commitment to sustaining manufacturing excellence through innovation and best practices.
Continuous Improvement (CI) professionals drive operational excellence by systematically enhancing processes, products, and services. They identify inefficiencies, analyze performance metrics, and implement data-driven solutions to streamline workflows. Key responsibilities include fostering a culture of innovation, collaborating with cross-functional teams, and ensuring adherence to industry best practices. Strong problem-solving skills, proficiency in Lean and Six Sigma methodologies, and a commitment to quality are essential. Additionally, CI practitioners track progress through KPIs, lead training initiatives, and champion sustainable improvements to achieve long-term growth and customer satisfaction.
The organization seeks to lead a comprehensive overhaul of its manufacturing operations by implementing advanced digital technologies across all stages of production. This initiative aims to enhance efficiency, reduce downtime, and optimize resource utilization through the integration of automation, data analytics, and AI-driven decision-making tools. Candidates must possess expertise in industrial IoT, cloud computing, and cybersecurity, along with a proven track record in driving large-scale digital transformation projects. Responsibilities include designing and deploying smart factory solutions, overseeing the integration of legacy systems with modern platforms, and ensuring seamless connectivity between operational technology (OT) and information technology (IT) environments. Additionally, the role requires collaboration with cross-functional teams to align digital strategies with business objectives while maintaining compliance with industry standards and regulatory requirements.
We are seeking a professional skilled in lean manufacturing methodologies and Kaiden principles to enhance operational efficiency and drive continuous improvement initiatives. This role requires a deep understanding of waste reduction techniques, process optimization, and systematic problem-solving to foster a culture of ongoing enhancement. The ideal candidate will lead cross-functional teams in identifying inefficiencies, implementing sustainable solutions, and measuring performance outcomes to ensure long-term success. Proficiency in methodologies such as Six Sigma, 5S, and value stream mapping is essential, along with the ability to train and mentor employees at all levels. Strong analytical skills and a results-driven mindset are critical to achieving measurable improvements in productivity, quality, and cost reduction.
Data analytics and operational reporting involve collecting, processing, and analyzing large datasets to derive meaningful insights that support business decision-making. Professionals in this role are responsible for designing and maintaining reporting systems, ensuring data accuracy, and identifying trends or anomalies that could impact operational efficiency. Proficiency in data visualization tools, statistical analysis, and database management is essential, along with strong analytical thinking and problem-solving skills. Experience with tools such as SQL, Excel, or business intelligence platforms like Tableau or Power BI is typically required. Additionally, candidates should demonstrate the ability to translate complex data into clear, actionable recommendations for stakeholders.
The ideal candidate will collaborate extensively with cross-functional factory teams to advance process optimization, eliminate losses, enhance operational efficiency, and lead digital transformation efforts.
Responsibilities
Provide assistance in executing Manufacturing Excellence (Manx) initiatives throughout factory operations.
Support the advancement of Continuous Improvement (CI) initiatives and Kaiden methodologies to enhance operational efficiency and effectiveness.
Conduct a thorough examination of production and operational data to pinpoint inefficiencies and potential areas for enhancement.
Develop and maintain dynamic reports and interactive dashboards utilizing Power BI and Microsoft’s suite of tools to deliver data-driven insights efficiently.
Conduct collaborative problem-solving sessions and lead improvement workshops to drive innovative solutions and operational enhancements.
Facilitate the organization’s digital transformation within the manufacturing environment by spearheading the introduction, implementation, and optimization of advanced digital factory systems and applications.
Collaborate effectively with Engineering, Operations, Safety, and other cross-functional teams to achieve shared objectives and enhance operational synergy.
Collaborate with the operations team to monitor factory performance metrics and operational key performance indicators.
Drive innovation in waste minimization, streamline processes, and enhance operational productivity through proven best practices.
Attend daily, weekly, and operational review meetings to ensure alignment with departmental objectives and facilitate timely decision-making.
Requirements
Bachelor’s degree is required in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Manufacturing Engineering, or a closely related technical discipline.
Possesses exceptional analytical capabilities and a proven ability to resolve complex issues efficiently. Demonstrates a methodical approach to identifying challenges and implementing effective solutions with precision and thoroughness.
Proven expertise in utilizing Microsoft Office applications, with a particular emphasis on advanced Excel skills, is essential for success in this role.
Proficiency in Power BI or other data visualization software is essential for this role.
Accomplished professionals must exhibit exceptional proficiency in both verbal and written communication, as well as the ability to foster meaningful interpersonal connections. These skills are essential for effectively engaging with colleagues, clients, and stakeholders across diverse professional settings.
Demonstrates a strong sense of self-direction and proactively pursues goals without external prompting.
Proven adaptability in a fast-paced manufacturing setting is required.
The position requires familiarity with manufacturing environments specific to the Fast-Moving Consumer Goods (FMCG) sector. Candidates should possess prior experience or knowledge of operational dynamics within such facilities. Understanding the fast-paced nature and quality standards of FMCG production processes is essential.
Proficiency in Lean Manufacturing, Kaiden, or Continuous Improvement methodologies is required.
Demonstrates a solid grasp of supply chain management principles or hands-on experience in manufacturing and production environments.
Possesses hands-on experience in leading or contributing to digital transformation and automation projects, demonstrating proficiency in leveraging technology to drive operational efficiency and process optimization.
Submit your revised curriculum vitae to talentsourcing@sheerlogicltd.com on or before May 13, 2026, ensuring the job title is prominently specified.
Qualifications
BA/BSc/HND
