Data Analyst at Wemy Industries Limited

Wemy Industries is one of the foremost indigenous and oldest established manufacturers in Lagos, Nigeria. We specialize in producing baby diapers, feminine sanitary napkins/pads, panty liners, adult diapers, maternity pads, under pads and baby wipes under the umbrella brand names of ‘Dr. Browns’ and ‘Nightingale’

We are recruiting to fill the position below:

Job Title: Data Analyst

Location: Abuja
Employment Type: 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 Requirements

• 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.

Application Closing Date
Not Specified.