Data Analyst

3 weeks ago


Lagos, Nigeria Wemy Industries Limited Full time

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.

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