• Application Deadline:
• Position: Data Analyst



• Job Type Full Time



• Qualification BA/BSc/HND



• Experience 2 - 5 years



• Location Ogun




• Job Field Data, Business Analysis and AI 
  
  

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.