Job Title: Data Analyst Department: Commercial Reports To: Sales Operations Lead Direct Reports: None Indirect Reports: Sales Operations Supervisor Job Grade: Specialist Scope of Work: Commercial data analysis, sales performance reporting, CRM data interpretation, stock analytics, and management intelligence for the Commercial Department. The Data Analyst is an analytical function. Job Purpose: To transform commercial data into clear, accurate, and actionable insights that improve decision-making, revenue performance, and operational efficiency across the Commercial Department. The Data Analyst serves as the analytical engine of the sales team producing consistent, high-quality reports, identifying trends and risks early, and ensuring management always has reliable data to support strategic and operational choices. Main Duties and Responsibilities: Sales & Performance Analytics Produce accurate daily, weekly, and monthly sales performance reports disaggregated by product category, region, client segment, team member, and revenue versus target. Analyse sales trends to identify growth opportunities, performance gaps, and patterns in fast-moving, slow-moving, and non-moving stock that can inform commercial strategy. Provide variance analysis comparing actual performance against set targets, with clear commentary on drivers and management recommendations. Track and report on team and individual KPI achievement to support structured performance reviews with data-backed insights. CRM Analysis & Database Standardization Use the client database for analysis, reporting, and segmentation Clean and standardize CRM data for analytical purposes; removing duplicates, normalizing categories, correcting formatting inconsistencies to compile an accurate, analysis-ready master database from data provided by the Commercial team. Identify and formally flag data quality issues; incomplete records, missing contact fields, inactive accounts, or inconsistencies to the Sales Operations Lead for correction by the responsible Commercial team members. Conduct regular reconciliation of CRM entries to ensure the data used for reporting accurately reflects actual commercial activity. Data Segmentation & Client Intelligence Develop and maintain client segmentation models based on purchase frequency, revenue value, product category, geographic region, and account type to support targeted sales and marketing activities. Collaborate with the Digital Marketing Executive to provide management-approved client data segments for campaigns, events, and targeted outreach. Produce client portfolio analyses and buying behaviour insights that support the Customer Care and Business Development teams in account prioritization. Inventory & Stock Analysis Monitor and analyse stock movement data, identifying fast-moving, slow-moving, and non-moving inventory patterns and communicating actionable findings to the Sales Operations Lead. Prepare updated stock movement reports and demand forecasts by category to support import planning and prevent stockouts or over-stocking. Track and report on stock liquidation initiative performance, providing data that shows whether targets are being met and where gaps exist. Management Reporting & Business Intelligence Develop and maintain management dashboards that present commercial performance data in a clear, visual, and decision-ready format. Produce ad-hoc reports and analysis as requested by the Sales Operations Lead, Commercial Director, or senior management; acknowledged within 2 hours and delivered within 24 hours unless a longer timeline is agreed. Ensure all reports are consistent, clearly labelled, derived from verified data sources, and include brief commentary explaining key variances; not just raw numbers Role Specifications Minimum Qualifications & Experience Bachelor's Degree or Diploma in Data Analytics, Business, Statistics, Mathematics, IT, or a related field. 1–3 years of experience in data analysis, preferably in a sales or commercial environment. Proficiency in MS Excel (advanced), SQL, and at least one BI or reporting tool (e.g. Power BI, Tableau). Experience working with CRM systems and sales data is a strong advantage. Key Skills Strong analytical and data interpretation skills with high accuracy. Ability to present complex data in clear, accessible formats for non-technical stakeholders. Proficiency in data cleaning, standardization, and segmentation techniques. Excellent organizational and time management skills for managing multiple recurring reporting deadlines. Core Competencies Analytical Thinking and Attention to Detail. Communication of Insights — translating data into business language. Process Discipline and Reporting Consistency. Intellectual Curiosity and Proactive Problem Identification. Confidentiality and Professional Discretion. Collaboration with Commercial and Digital Marketing teams  

Job Title: Data Analyst Department: Commercial Reports To: Sales Operations Lead Direct Reports: None Indirect Reports: Sales Operations Supervisor Job Grade: Specialist Scope of Work: Commercial data analysis, sales performance reporting, CRM data interpretation, stock analytics, and management intelligence for the Commercial Department. The Data Analyst is an analytical function. Job Purpose: To transform commercial data into clear, accurate, and actionable insights that improve decision-making, revenue performance, and operational efficiency across the Commercial Department. The Data Analyst serves as the analytical engine of the sales team producing consistent, high-quality reports, identifying trends and risks early, and ensuring management always has reliable data to support strategic and operational choices. Main Duties and Responsibilities: Sales & Performance Analytics Produce accurate daily, weekly, and monthly sales performance reports disaggregated by product category, region, client segment, team member, and revenue versus target. Analyse sales trends to identify growth opportunities, performance gaps, and patterns in fast-moving, slow-moving, and non-moving stock that can inform commercial strategy. Provide variance analysis comparing actual performance against set targets, with clear commentary on drivers and management recommendations. Track and report on team and individual KPI achievement to support structured performance reviews with data-backed insights. CRM Analysis & Database Standardization Use the client database for analysis, reporting, and segmentation Clean and standardize CRM data for analytical purposes; removing duplicates, normalizing categories, correcting formatting inconsistencies to compile an accurate, analysis-ready master database from data provided by the Commercial team. Identify and formally flag data quality issues; incomplete records, missing contact fields, inactive accounts, or inconsistencies to the Sales Operations Lead for correction by the responsible Commercial team members. Conduct regular reconciliation of CRM entries to ensure the data used for reporting accurately reflects actual commercial activity. Data Segmentation & Client Intelligence Develop and maintain client segmentation models based on purchase frequency, revenue value, product category, geographic region, and account type to support targeted sales and marketing activities. Collaborate with the Digital Marketing Executive to provide management-approved client data segments for campaigns, events, and targeted outreach. Produce client portfolio analyses and buying behaviour insights that support the Customer Care and Business Development teams in account prioritization. Inventory & Stock Analysis Monitor and analyse stock movement data, identifying fast-moving, slow-moving, and non-moving inventory patterns and communicating actionable findings to the Sales Operations Lead. Prepare updated stock movement reports and demand forecasts by category to support import planning and prevent stockouts or over-stocking. Track and report on stock liquidation initiative performance, providing data that shows whether targets are being met and where gaps exist. Management Reporting & Business Intelligence Develop and maintain management dashboards that present commercial performance data in a clear, visual, and decision-ready format. Produce ad-hoc reports and analysis as requested by the Sales Operations Lead, Commercial Director, or senior management; acknowledged within 2 hours and delivered within 24 hours unless a longer timeline is agreed. Ensure all reports are consistent, clearly labelled, derived from verified data sources, and include brief commentary explaining key variances; not just raw numbers Role Specifications Minimum Qualifications & Experience Bachelor's Degree or Diploma in Data Analytics, Business, Statistics, Mathematics, IT, or a related field. 1–3 years of experience in data analysis, preferably in a sales or commercial environment. Proficiency in MS Excel (advanced), SQL, and at least one BI or reporting tool (e.g. Power BI, Tableau). Experience working with CRM systems and sales data is a strong advantage. Key Skills Strong analytical and data interpretation skills with high accuracy. Ability to present complex data in clear, accessible formats for non-technical stakeholders. Proficiency in data cleaning, standardization, and segmentation techniques. Excellent organizational and time management skills for managing multiple recurring reporting deadlines. Core Competencies Analytical Thinking and Attention to Detail. Communication of Insights — translating data into business language. Process Discipline and Reporting Consistency. Intellectual Curiosity and Proactive Problem Identification. Confidentiality and Professional Discretion. Collaboration with Commercial and Digital Marketing teams  

Job Title: Data Analyst Department: Commercial Reports To: Sales Operations Lead Direct Reports: None Indirect Reports: Sales Operations Supervisor Job Grade: Specialist Scope of Work: Commercial data analysis, sales performance reporting, CRM data interpretation, stock analytics, and management intelligence for the Commercial Department. The Data Analyst is an analytical function. Job Purpose: To transform commercial data into clear, accurate, and actionable insights that improve decision-making, revenue performance, and operational efficiency across the Commercial Department. The Data Analyst serves as the analytical engine of the sales team producing consistent, high-quality reports, identifying trends and risks early, and ensuring management always has reliable data to support strategic and operational choices. Main Duties and Responsibilities: Sales & Performance Analytics Produce accurate daily, weekly, and monthly sales performance reports disaggregated by product category, region, client segment, team member, and revenue versus target. Analyse sales trends to identify growth opportunities, performance gaps, and patterns in fast-moving, slow-moving, and non-moving stock that can inform commercial strategy. Provide variance analysis comparing actual performance against set targets, with clear commentary on drivers and management recommendations. Track and report on team and individual KPI achievement to support structured performance reviews with data-backed insights. CRM Analysis & Database Standardization Use the client database for analysis, reporting, and segmentation Clean and standardize CRM data for analytical purposes; removing duplicates, normalizing categories, correcting formatting inconsistencies to compile an accurate, analysis-ready master database from data provided by the Commercial team. Identify and formally flag data quality issues; incomplete records, missing contact fields, inactive accounts, or inconsistencies to the Sales Operations Lead for correction by the responsible Commercial team members. Conduct regular reconciliation of CRM entries to ensure the data used for reporting accurately reflects actual commercial activity. Data Segmentation & Client Intelligence Develop and maintain client segmentation models based on purchase frequency, revenue value, product category, geographic region, and account type to support targeted sales and marketing activities. Collaborate with the Digital Marketing Executive to provide management-approved client data segments for campaigns, events, and targeted outreach. Produce client portfolio analyses and buying behaviour insights that support the Customer Care and Business Development teams in account prioritization. Inventory & Stock Analysis Monitor and analyse stock movement data, identifying fast-moving, slow-moving, and non-moving inventory patterns and communicating actionable findings to the Sales Operations Lead. Prepare updated stock movement reports and demand forecasts by category to support import planning and prevent stockouts or over-stocking. Track and report on stock liquidation initiative performance, providing data that shows whether targets are being met and where gaps exist. Management Reporting & Business Intelligence Develop and maintain management dashboards that present commercial performance data in a clear, visual, and decision-ready format. Produce ad-hoc reports and analysis as requested by the Sales Operations Lead, Commercial Director, or senior management; acknowledged within 2 hours and delivered within 24 hours unless a longer timeline is agreed. Ensure all reports are consistent, clearly labelled, derived from verified data sources, and include brief commentary explaining key variances; not just raw numbers Role Specifications Minimum Qualifications & Experience Bachelor's Degree or Diploma in Data Analytics, Business, Statistics, Mathematics, IT, or a related field. 1–3 years of experience in data analysis, preferably in a sales or commercial environment. Proficiency in MS Excel (advanced), SQL, and at least one BI or reporting tool (e.g. Power BI, Tableau). Experience working with CRM systems and sales data is a strong advantage. Key Skills Strong analytical and data interpretation skills with high accuracy. Ability to present complex data in clear, accessible formats for non-technical stakeholders. Proficiency in data cleaning, standardization, and segmentation techniques. Excellent organizational and time management skills for managing multiple recurring reporting deadlines. Core Competencies Analytical Thinking and Attention to Detail. Communication of Insights — translating data into business language. Process Discipline and Reporting Consistency. Intellectual Curiosity and Proactive Problem Identification. Confidentiality and Professional Discretion. Collaboration with Commercial and Digital Marketing teams  

Job Title: Data Analyst Department: Commercial Reports To: Sales Operations Lead Direct Reports: None Indirect Reports: Sales Operations Supervisor Job Grade: Specialist Scope of Work: Commercial data analysis, sales performance reporting, CRM data interpretation, stock analytics, and management intelligence for the Commercial Department. The Data Analyst is an analytical function. Job Purpose: To transform commercial data into clear, accurate, and actionable insights that improve decision-making, revenue performance, and operational efficiency across the Commercial Department. The Data Analyst serves as the analytical engine of the sales team producing consistent, high-quality reports, identifying trends and risks early, and ensuring management always has reliable data to support strategic and operational choices. Main Duties and Responsibilities: Sales & Performance Analytics Produce accurate daily, weekly, and monthly sales performance reports disaggregated by product category, region, client segment, team member, and revenue versus target. Analyse sales trends to identify growth opportunities, performance gaps, and patterns in fast-moving, slow-moving, and non-moving stock that can inform commercial strategy. Provide variance analysis comparing actual performance against set targets, with clear commentary on drivers and management recommendations. Track and report on team and individual KPI achievement to support structured performance reviews with data-backed insights. CRM Analysis & Database Standardization Use the client database for analysis, reporting, and segmentation Clean and standardize CRM data for analytical purposes; removing duplicates, normalizing categories, correcting formatting inconsistencies to compile an accurate, analysis-ready master database from data provided by the Commercial team. Identify and formally flag data quality issues; incomplete records, missing contact fields, inactive accounts, or inconsistencies to the Sales Operations Lead for correction by the responsible Commercial team members. Conduct regular reconciliation of CRM entries to ensure the data used for reporting accurately reflects actual commercial activity. Data Segmentation & Client Intelligence Develop and maintain client segmentation models based on purchase frequency, revenue value, product category, geographic region, and account type to support targeted sales and marketing activities. Collaborate with the Digital Marketing Executive to provide management-approved client data segments for campaigns, events, and targeted outreach. Produce client portfolio analyses and buying behaviour insights that support the Customer Care and Business Development teams in account prioritization. Inventory & Stock Analysis Monitor and analyse stock movement data, identifying fast-moving, slow-moving, and non-moving inventory patterns and communicating actionable findings to the Sales Operations Lead. Prepare updated stock movement reports and demand forecasts by category to support import planning and prevent stockouts or over-stocking. Track and report on stock liquidation initiative performance, providing data that shows whether targets are being met and where gaps exist. Management Reporting & Business Intelligence Develop and maintain management dashboards that present commercial performance data in a clear, visual, and decision-ready format. Produce ad-hoc reports and analysis as requested by the Sales Operations Lead, Commercial Director, or senior management; acknowledged within 2 hours and delivered within 24 hours unless a longer timeline is agreed. Ensure all reports are consistent, clearly labelled, derived from verified data sources, and include brief commentary explaining key variances; not just raw numbers Role Specifications Minimum Qualifications & Experience Bachelor's Degree or Diploma in Data Analytics, Business, Statistics, Mathematics, IT, or a related field. 1–3 years of experience in data analysis, preferably in a sales or commercial environment. Proficiency in MS Excel (advanced), SQL, and at least one BI or reporting tool (e.g. Power BI, Tableau). Experience working with CRM systems and sales data is a strong advantage. Key Skills Strong analytical and data interpretation skills with high accuracy. Ability to present complex data in clear, accessible formats for non-technical stakeholders. Proficiency in data cleaning, standardization, and segmentation techniques. Excellent organizational and time management skills for managing multiple recurring reporting deadlines. Core Competencies Analytical Thinking and Attention to Detail. Communication of Insights — translating data into business language. Process Discipline and Reporting Consistency. Intellectual Curiosity and Proactive Problem Identification. Confidentiality and Professional Discretion. Collaboration with Commercial and Digital Marketing teams  

Job Title: Data Analyst Department: Commercial Reports To: Sales Operations Lead Direct Reports: None Indirect Reports: Sales Operations Supervisor Job Grade: Specialist Scope of Work: Commercial data analysis, sales performance reporting, CRM data interpretation, stock analytics, and management intelligence for the Commercial Department. The Data Analyst is an analytical function. Job Purpose: To transform commercial data into clear, accurate, and actionable insights that improve decision-making, revenue performance, and operational efficiency across the Commercial Department. The Data Analyst serves as the analytical engine of the sales team producing consistent, high-quality reports, identifying trends and risks early, and ensuring management always has reliable data to support strategic and operational choices. Main Duties and Responsibilities: Sales & Performance Analytics Produce accurate daily, weekly, and monthly sales performance reports disaggregated by product category, region, client segment, team member, and revenue versus target. Analyse sales trends to identify growth opportunities, performance gaps, and patterns in fast-moving, slow-moving, and non-moving stock that can inform commercial strategy. Provide variance analysis comparing actual performance against set targets, with clear commentary on drivers and management recommendations. Track and report on team and individual KPI achievement to support structured performance reviews with data-backed insights. CRM Analysis & Database Standardization Use the client database for analysis, reporting, and segmentation Clean and standardize CRM data for analytical purposes; removing duplicates, normalizing categories, correcting formatting inconsistencies to compile an accurate, analysis-ready master database from data provided by the Commercial team. Identify and formally flag data quality issues; incomplete records, missing contact fields, inactive accounts, or inconsistencies to the Sales Operations Lead for correction by the responsible Commercial team members. Conduct regular reconciliation of CRM entries to ensure the data used for reporting accurately reflects actual commercial activity. Data Segmentation & Client Intelligence Develop and maintain client segmentation models based on purchase frequency, revenue value, product category, geographic region, and account type to support targeted sales and marketing activities. Collaborate with the Digital Marketing Executive to provide management-approved client data segments for campaigns, events, and targeted outreach. Produce client portfolio analyses and buying behaviour insights that support the Customer Care and Business Development teams in account prioritization. Inventory & Stock Analysis Monitor and analyse stock movement data, identifying fast-moving, slow-moving, and non-moving inventory patterns and communicating actionable findings to the Sales Operations Lead. Prepare updated stock movement reports and demand forecasts by category to support import planning and prevent stockouts or over-stocking. Track and report on stock liquidation initiative performance, providing data that shows whether targets are being met and where gaps exist. Management Reporting & Business Intelligence Develop and maintain management dashboards that present commercial performance data in a clear, visual, and decision-ready format. Produce ad-hoc reports and analysis as requested by the Sales Operations Lead, Commercial Director, or senior management; acknowledged within 2 hours and delivered within 24 hours unless a longer timeline is agreed. Ensure all reports are consistent, clearly labelled, derived from verified data sources, and include brief commentary explaining key variances; not just raw numbers Role Specifications Minimum Qualifications & Experience Bachelor's Degree or Diploma in Data Analytics, Business, Statistics, Mathematics, IT, or a related field. 1–3 years of experience in data analysis, preferably in a sales or commercial environment. Proficiency in MS Excel (advanced), SQL, and at least one BI or reporting tool (e.g. Power BI, Tableau). Experience working with CRM systems and sales data is a strong advantage. Key Skills Strong analytical and data interpretation skills with high accuracy. Ability to present complex data in clear, accessible formats for non-technical stakeholders. Proficiency in data cleaning, standardization, and segmentation techniques. Excellent organizational and time management skills for managing multiple recurring reporting deadlines. Core Competencies Analytical Thinking and Attention to Detail. Communication of Insights — translating data into business language. Process Discipline and Reporting Consistency. Intellectual Curiosity and Proactive Problem Identification. Confidentiality and Professional Discretion. Collaboration with Commercial and Digital Marketing teams  

Job Title: Data Analyst Department: Commercial Reports To: Sales Operations Lead Direct Reports: None Indirect Reports: Sales Operations Supervisor Job Grade: Specialist Scope of Work: Commercial data analysis, sales performance reporting, CRM data interpretation, stock analytics, and management intelligence for the Commercial Department. The Data Analyst is an analytical function. Job Purpose: To transform commercial data into clear, accurate, and actionable insights that improve decision-making, revenue performance, and operational efficiency across the Commercial Department. The Data Analyst serves as the analytical engine of the sales team producing consistent, high-quality reports, identifying trends and risks early, and ensuring management always has reliable data to support strategic and operational choices. Main Duties and Responsibilities: Sales & Performance Analytics Produce accurate daily, weekly, and monthly sales performance reports disaggregated by product category, region, client segment, team member, and revenue versus target. Analyse sales trends to identify growth opportunities, performance gaps, and patterns in fast-moving, slow-moving, and non-moving stock that can inform commercial strategy. Provide variance analysis comparing actual performance against set targets, with clear commentary on drivers and management recommendations. Track and report on team and individual KPI achievement to support structured performance reviews with data-backed insights. CRM Analysis & Database Standardization Use the client database for analysis, reporting, and segmentation Clean and standardize CRM data for analytical purposes; removing duplicates, normalizing categories, correcting formatting inconsistencies to compile an accurate, analysis-ready master database from data provided by the Commercial team. Identify and formally flag data quality issues; incomplete records, missing contact fields, inactive accounts, or inconsistencies to the Sales Operations Lead for correction by the responsible Commercial team members. Conduct regular reconciliation of CRM entries to ensure the data used for reporting accurately reflects actual commercial activity. Data Segmentation & Client Intelligence Develop and maintain client segmentation models based on purchase frequency, revenue value, product category, geographic region, and account type to support targeted sales and marketing activities. Collaborate with the Digital Marketing Executive to provide management-approved client data segments for campaigns, events, and targeted outreach. Produce client portfolio analyses and buying behaviour insights that support the Customer Care and Business Development teams in account prioritization. Inventory & Stock Analysis Monitor and analyse stock movement data, identifying fast-moving, slow-moving, and non-moving inventory patterns and communicating actionable findings to the Sales Operations Lead. Prepare updated stock movement reports and demand forecasts by category to support import planning and prevent stockouts or over-stocking. Track and report on stock liquidation initiative performance, providing data that shows whether targets are being met and where gaps exist. Management Reporting & Business Intelligence Develop and maintain management dashboards that present commercial performance data in a clear, visual, and decision-ready format. Produce ad-hoc reports and analysis as requested by the Sales Operations Lead, Commercial Director, or senior management; acknowledged within 2 hours and delivered within 24 hours unless a longer timeline is agreed. Ensure all reports are consistent, clearly labelled, derived from verified data sources, and include brief commentary explaining key variances; not just raw numbers Role Specifications Minimum Qualifications & Experience Bachelor's Degree or Diploma in Data Analytics, Business, Statistics, Mathematics, IT, or a related field. 1–3 years of experience in data analysis, preferably in a sales or commercial environment. Proficiency in MS Excel (advanced), SQL, and at least one BI or reporting tool (e.g. Power BI, Tableau). Experience working with CRM systems and sales data is a strong advantage. Key Skills Strong analytical and data interpretation skills with high accuracy. Ability to present complex data in clear, accessible formats for non-technical stakeholders. Proficiency in data cleaning, standardization, and segmentation techniques. Excellent organizational and time management skills for managing multiple recurring reporting deadlines. Core Competencies Analytical Thinking and Attention to Detail. Communication of Insights — translating data into business language. Process Discipline and Reporting Consistency. Intellectual Curiosity and Proactive Problem Identification. Confidentiality and Professional Discretion. Collaboration with Commercial and Digital Marketing teams  

Role purpose To Supervise the final cutting of dried fruit into specified sizes, meeting output targets while protecting product quality, maximising saleable recovery and controlling cutting losses. Key Roles & Responsibilities. Cutting Plan and Target Delivery. Daily cutting requirements confirmed against Production instructions and customer specifications. Labour, equipment, tools and approved dried-fruit batches prepared before start-up. Hourly output monitored, with bottlenecks addressed and risks to downstream packing schedules escalated. Cut Size and Product Consistency. Approved cut dimensions, tolerances and product form communicated to operators. Set-up and first-off pieces checked before full production; samples checked regularly during the shift. Out-of-size product segregated and adjustments made promptly, with disposition agreed by QA. Saleable Recovery and Loss Control. Dried-fruit input, acceptable cut output, offcuts, fines, rejects and work in progress recorded and reconciled by batch. Excessive fragmentation, sticking and cutting losses investigated. Offcuts and nonconforming product kept separate; rework or alternative use follows QA-approved instructions. Equipment and Cutting Tool Readiness. Cutters, blades, guards and workstations checked before use. Correct settings and authorised adjustments maintained for the product. Damaged or worn blades reported and controlled; equipment faults escalated to Maintenance. Cleaning, clearing jams and blade changes follow safe isolation procedures. Team Supervision and Productivity. Operators assigned clear output and quality targets. Staffing, workflow, breaks and handovers coordinated to maintain steady throughput. Operators trained in safe cutting, product handling and defect recognition. Performance reviewed using saleable output alongside quality and loss levels. Hygiene and Foreign Material Control. QA-approved hygiene and handling controls maintained for exposed dried fruit. Blades, tools and components accounted for, with damaged or missing items escalated immediately and affected product isolated. Product protected from contamination and unnecessary exposure before transfer to packing. Traceability and Downstream Handover. Batch identity maintained from dried-fruit receipt to cut-product handover. Containers correctly labelled and different lots controlled to prevent unintended mixing. Daily output, size defects, losses and downtime reported. Accepted product handed over to the next stage under agreed QA and Production controls. Other Special Requirements Hands-on supervision of the final cutting stage, with close coordination with QA, Maintenance and packing. Key measures saleable cut output, dimensional conformity, cutting recovery, fines and offcut losses, downtime, labour productivity and batch reconciliation. Key Job Requirements Certificate or diploma in Food Science, Food Technology, Production Management or a related discipline. At least two years in food processing or production, with team supervision experience; dried-fruit handling or cutting experience is an advantage. Ability to follow size specifications, supervise cutting equipment and calculate recovery. Disciplined hygiene and blade control Strong attention to detail. Practical leadership and timely escalation.

Role purpose Lead the peeling and slicing section to meet production targets while achieving high usable-fruit recovery, low avoidable wastage and consistent preparation quality. Key Roles & Responsibilities Section Planning and Target Delivery. Daily production plan translated into hourly peeling and slicing targets and manpower requirements. Workstations, tools and fruit supply prepared before start-up. Actual output tracked against plan; bottlenecks addressed and likely shortfalls escalated promptly. Peeling Quality and Fruit Recovery. Peeling methods demonstrated and monitored to remove skin and defects without unnecessary loss of usable flesh. Fruit handling and trimming practices checked regularly. Excessive peeling and flesh left on stones investigated; operators coached to improve recovery without compromising quality. Slicing Consistency and Product Flow. Fruit cut to approved thickness, size and presentation requirements. Slicing consistency checked throughout the shift and incorrect methods corrected early. Prepared fruit transferred promptly to the next stage with lot identity preserved and unnecessary delays avoided. Yield and Waste Control. Section input, acceptable prepared-fruit output, waste and any work in progress weighed and recorded on a consistent basis. Recovery measured against agreed targets appropriate to fruit condition and variety. Waste reviewed for recoverable flesh; abnormal losses investigated and reported. Team Allocation and Productivity. Peelers, slicers and support staff deployed according to workload and skill. Individual and team productivity monitored fairly alongside quality and recovery. Attendance, breaks and handovers coordinated to sustain output. New staff trained and underperformance addressed through practical coaching. Food Safety and Safe Working. QA-approved hygiene, sanitation, knife handling and foreign-material controls enforced. Tools checked and accounted for; damaged tools removed from use. Fruit protected from contamination, and suspect product segregated and escalated to QA. Workstations and waste removal maintained to agreed standards. Reporting and Continuous Improvement. Hourly output and daily section recovery, waste, labour productivity and downtime reported. Supply interruptions, equipment faults and quality issues escalated promptly. Improvements to layout, work methods and training implemented with Production and QA to reduce loss and meet targets. Other Special Requirements Continuous factory-floor supervision and hands-on coaching are required. Key measures Acceptable prepared-fruit output, target achievement, usable-fruit recovery, avoidable waste, slicing consistency and labour productivity. Recovery targets must use an agreed section-specific calculation. Role Requirements Certificate or diploma in Food Science, Food Technology, Production Management or a related discipline. At least two years in food processing or fruit preparation, with experience supervising manual production teams. Practical peeling and slicing knowledge. Ability to calculate recovery and track hourly output Strong team leadership Attention to quality and confident reporting of shortfalls.

Role purpose To Supervise fruit receiving, weighing, sorting and ripening to provide Production with correctly identified, accepted fruit at the required ripeness and quantity. Key Roles & Responsibilities Receiving and Truck Unloading. Truck arrivals and unloading coordinated with Procurement, Production and QA. Fruit handled carefully to prevent bruising and contamination. Supplier, delivery and lot details checked; unloading teams organised to minimise delays and fruit exposure. Weighing and Intake Reconciliation. Gross, tare and net weights recorded accurately using verified scales and agreed procedures. Accepted, rejected and held quantities reconciled against each delivery. Weight discrepancies investigated and escalated before intake records are finalised. Incoming Fruit Sorting and Segregation. Sorting teams apply QA-approved acceptance criteria for maturity, damage, decay and foreign material. Accepted, rejected and held fruit clearly segregated and labelled. Suspect deliveries referred to QA; quality hold and release decisions remain with QA. Ripening Chamber Management: Chambers loaded by compatible fruit type, maturity and lot. Approved ripening procedures followed, including specified temperature, humidity, ventilation and treatment settings. Chamber conditions and fruit ripeness checked and recorded; deviations escalated promptly to Production, QA and Maintenance as appropriate. Team Supervision and Hygiene. Receiving, weighing, sorting and ripening teams assigned clear duties and targets. Attendance, handling practices, hygiene and housekeeping monitored. Safe stacking, clear access routes and chamber entry procedures enforced. Shift handovers identify stock status, holds and outstanding issues. Other Special Requirements Hands-on role covering receiving areas and ripening chambers. Key measures: weighing accuracy, stock reconciliation, traceability, ripening losses, receiving turnaround and timely supply of fruit at the required ripeness Job Requirement Certificate or diploma in Food Science, Food Technology, Agriculture, Horticulture, Production Management or a related discipline. At least two years in fresh produce receiving, packhouse operations, ripening or food processing, with experience leading a team. Knowledge of fruit maturity and handling; accurate weighing, stock records and basic calculations; clear communication, organisation and prompt escalation of problems.

1. Role Summary & Work Environment The role requires a strong factory-floor presence, practical troubleshooting ability, and complete ownership of equipment reliability. The officer must coordinate closely with Production and QA, respond to urgent breakdowns, and support agreed shift or on-call arrangements. Maintenance activities must be meticulously planned around production requirements while preserving essential servicing schedules and safety checks. 2. Major Tasks and Key Result Areas • Maintenance Planning and Equipment Readiness Develop and implement preventive maintenance schedules for processing lines, dryers, cold rooms, ETP, boiler, and associate electrical, mechanical, water, and steam systems. Complete daily inspections to identify defects early and prioritize corrective work. Coordinate maintenance shutdowns with Production to ensure equipment readiness and minimize operations disruption. Keep equipment registers, service histories, and maintenance records accurate and current. • Breakdown Response and Equipment Reliability Diagnose equipment faults promptly and complete repairs within the officer’s competence and authorization. Escalate breakdowns affecting production, food safety, or personnel safety immediately, giving clear updates on production impact and expected restoration time. Arrang for specialist support where specialized technical knowledge is required. Investigate root causes of significant or recurring failures and implement effective corrective actions. Test equipment and formally hand it back to Production after maintenance, obtaining QA clearance where required. • Processing Lines, Dryers and Cold Room Maintenance Maintain processing equipment, conveyors, motors, gearboxes, bearings, drives, and controls to support consistent production output. Service dryer heating, airflow, fans, and temperature controls to deliver reliable drying performance. Inspect and service cold room refrigeration systems, insulation, doors, seals, drainage, alarms, and temperature controls. Address deviations promptly in coordination with Production and QA to protect product quality and storage conditions. • Boiler, ETP and Utilities Management Supervise the Boiler Operator and monitor boiler operations, servicing, water treatment, steam distribution, condensate return, and safety devices. Maintain ETP pumps, blowers, dosing systems, and associate equipment to support effective treatment; escalate and resolve operating deviations with responsible personnel. Maintain water supply, treatment, recycling, and other vital factory utilities. Schedule required regulatory or compliance inspections and specialist servicing, close out findings, and retain clear records. • Maintenance Safety, Hygiene and Food Safety Controls Apply strict safe isolation, lockout or tagout (LOTO), and relevant permit-to-work procedures during all maintenance tasks. Keep machinery guards, interlocks, and emergency stops fully functional; isolate and escalate unsafe equipment immediately. Carry out maintenance activities in line with QA-approved hygiene and food safety procedures, including tool or component accountability, using food-grade lubricants, contamination prevention, and post-maintenance cleaning. Return equipment to service only after required safety and hygiene check-offs are complete. • Spare Parts, Contractors and Team Coordination Identify critical spare parts, maintained minimum stock levels, and raised procurement requests early to prevent avoidable downtime. Keep maintenance tools and workshop stores well-organized, safe, and controlled. Provide clear priorities and technical guidance to the Boiler Operator and assign maintenance personnel. Coordinate, supervise, and assess contractors and equipment suppliers for quality of work. Train operators in basic equipment care, routine checks, and early fault reporting mechanisms. Support new equipment installation and commissioning projects as required. • Maintenance Performance, Cost Control and Continuous Improvement Monitor and report on key performance indices including equipment uptime, breakdown frequency, downtime hours, repair turnaround, preventive maintenance completion, and maintenance costs. Investigate energy, fuel, and water losses, including steam leaks and inefficient equipment operation. Implement practical improvements to increase reliability, extend equipment life, and reduce overall operating costs. Communicate outstanding defects, critical risks, and overdue maintenance to management alongside clear action plans. 3. Key Performance Measures (KPIs) ·       Equipment availability and overall uptime ·       Unplanned downtime and repair turnaround time ·       Preventive maintenance completion rate versus schedule ·       Incidence of repeat breakdowns or recurring failures ·       Critical spare parts availability and stock-out minimization ·       Maintenance expenditure control against budget ·       Timely closure of safety-related defects and QA compliance findings 4. Job Specification & Qualifications Diploma or higher qualification in Mechanical Engineering, Electrical Engineering, Mechatronics, Plant Maintenance, or a related engineering discipline. At least three (3) years of relevant industrial maintenance experience, preferably within food processing or a similar structured manufacturing environment. Demonstrated experience maintaining production machinery and utilities, with working knowledge of dryers, refrigeration systems, boilers, pumps, motors, and effluent treatment plants (ETP) Proven ability to develop preventive maintenance schedules, diagnose technical faults, interpret manuals and engineering drawings, maintain accurate technical records, and manage critical spare parts stocks. Strong understanding of safe equipment isolation, lockout/tagout procedures, maintenance-related contamination risks, and hygienic working practices within a food factory environment. Ability to supervise the boiler operator and assigned technicians, effectively manage external contractors, and communicate technical equipment risks clearly to Production teams and senior management. Proactive, organized, dependable, and calm under operational pressure, with strong follow-through and a practical approach to resolving recurring equipment challenges