The Data Analyst leverages advanced analytics, machine learning models, and AI-driven decision support systems to optimize production efficiency and manage historical databases and improve Production forecasting. This position involves managing and interpreting large datasets, designing predictive models, and implementing data-driven solutions including equipment failure prediction, anomaly detection, and real-time monitoring optimization.

*Streamline reporting, automate routine analysis, and support real-time data visualization, reducing manual efforts and human errors.*

Main responsibilities:

• Analytical Thinking: Ability to interpret complex production data and identify trends

• Analyze historical data / Day-to-Day data with machine learning with machine learning / AI applications

• Develop dashboards and reports using Power BI to visualize production data

• Maintain and update production databases, ensuring data accuracy and integrity

• Statistics & Analytics: Knowledge of trend analysis, forecasting, and statistical modelling.

• Communication: Ability to explain data insights to engineers and production team

• Team Collaboration: Ability to work effectively with operations, engineers, and field team

Qualifications / Experience /Special Conditions or Requirements

• Bachelor’s degree in Data Science, Applied Mathematics, Computer Science, IT, Finance,

Chemical Engineering, or a related field

• Recent graduate (0-3 years of experience)

• Knowledge of machine learning or AI applications

• Microsoft Excel: Strong skills in PivotTables, VLOOKUP, and big data automation (macros).

• Preferred: Certifications in Data Analytics (Google Data Analytics, Microsoft Certified: Data Analyst Associate, etc.)

• Knowledge in Power BI