Data Analyst
3 weeks ago
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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