• Application Deadline:
• Position: Data Analyst


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience 2 - 4 years


• Location Lagos


• Job Field Data, Business Analysis and AI 
  

Job Brief:

• The Data Analyst will be responsible for analyzing and interpreting data related to the company's production processes.


• This role is crucial for identifying inefficiencies, optimizing production, improving operational performance, and supporting decision-making.

Job Responsibilities:

• Gather data from production lines, machines, and related software systems (ERP, MES).


• Analyze production output, quality metrics, downtime, and other key performance indicators (KPIs).


• Identify bottlenecks and inefficiencies in the production process.


• Propose solutions for process improvement to enhance productivity, reduce waste, or lower costs.


• Create detailed reports and visualizations (using tools like Power BI, Tableau, or Excel) to present data insights to stakeholders such as production managers and senior leadership.


• Use statistical models to forecast production needs, inventory requirements, and staffing.


• Assist in capacity planning and scheduling to optimize resource allocation.


• Work closely with production teams, quality control, supply chain, and operations to ensure seamless data flow and process alignment.


• Help ensure data-driven decision-making across different departments.


• Ensure that production data is accurate and consistent.


• Troubleshoot data discrepancies and work with IT teams to resolve data-related issues.

Job Requirement: 

• Bachelor’s degree in Data Science, Mathematics, Statistics, Economics, Computer Science, or a related field.


• Proven experience (2-4+ years) working as a Data Analyst or in a related role.


• Experience with statistical software packages (e.g., R, Python, SAS).


• Proficiency in SQL for querying databases.


• Data Analysis Tools: Expertise in Excel, SQL, Python (Pandas, NumPy), and data visualization tools like Power BI or Tableau.


• Production Knowledge: Understanding of production systems, manufacturing processes, or supply chain operations.


• Statistics and Forecasting: Proficiency in statistical analysis, predictive modeling, and trend analysis.


• ERP/MES Systems: Familiarity with enterprise resource planning (ERP) or manufacturing execution systems (MES) to pull data for analysis.


• Problem-solving: Ability to analyze data to diagnose problems and recommend improvements.