Alfred & Victoria Associates is one of Nigeria’s leading ICT solution based company. Our company offers a wide range of services which are in high demand of today’s emerging market.Job Brief
Focused on data-driven projects, they collect, analyze, and interpret data to provide insights and support decision making
Responsibilities
Identify trends, root causes of equipment failures, and predict maintenance needs.
Analyse data to identify bottlenecks and inefficiencies in engineering processes.
Work with engineers to design and implement systems for capturing relevant data.
Analyse material usage and production times to identify cost-saving opportunities.
Prepare reports for regulatory bodies based on collected data.
Translate data insights into actionable recommendations for engineering teams.
Create clear and concise dashboards and reports to communicate findings.
Track key metrics like dimensional tolerances and sterility to ensure product quality in cooperation with QC department.
Analyse data from the e-beam process (dose, dwell time, etc.) to optimize settings for sterilization effectiveness and material compatibility.
Analyse data from dosimeters used to measure e-beam dose to ensure consistent and uniform sterilization across syringes.
Identify trends in production output, scrap rates, and downtime to optimize production processes. Identify potential problems and taking proactive measures to avoid breakdowns.
Analyse data to understand yield at each stage of production and identify areas for improvement.
Analyse sensor data to predict potential equipment failures and schedule preventive maintenance.
Analyse historical data and production forecasts to optimize inventory levels of raw materials and finished goods.
Analyse data on defective syringes to identify root causes and implement corrective actions.
Analyse production data and demand forecasts to ensure sufficient production capacity.
Utilize data to optimize production scheduling and resource allocation.
Analyse data to identify areas for cost reduction in production processes.
Utilize data analysis to support lean manufacturing and continuous improvement efforts.
Academic Qualification
Bachelor Degree or higher in Mathematic, Statistics, Computer Science, Quantitative Sciences, Engineering or other related field.
Experience:
2-5 years’ experience in a similar role in a project for a reputable organization.
Key Skills & Competencies:
Experience in trend analysis, multivariate statistics, bias reduction, data aggregation techniques and automation.
Domain expert in area such as Demography, Sampling, Statistical modeling, audience measurement and weighting.
