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Data Analyst at Wemy Industries Limited

Wemy Industries LimitedLagos, Nigeria Data and Artificial Intelligence
Full Time
Founded with the main objective of manufacturing superior quality hygiene products, Wemy Industries Limited is the foremost indigenous and pioneer manufacturer of baby diaper in Nigeria. Incorporated as a Private Liability Company on October 25, 1978 under the Companies Decree 1968, Wemy Industries Limited is situated at Alapere-Ketu, Lagos where it owns an ultra-modern manufacturing complex. Our brands are Dr Browns and Nightingale which comprises Baby care, Feminine care and Adult care. We have grown from a mono product company to a company that manufactures and trades over 15 product lines with coverage in the entire federation of Nigeria. With over 35 years of existence, we are a diverse team of committed professionals from many backgrounds with a shared desire to satisfy our consumers. We are a people positioned to provide the necessities for a better life, by putting hygiene alongside convenience and making sure that good health comes to you naturally. Wemy currently have over 60 distributors Nationwide along with 10 depots.

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.

Method of Application

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