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.
Method of Application
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