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Data Analyst needs to understand and use statistical and analytical methods plus AI tools to automate specific processes and develop smart solutions to business challenges. The analyst should be able to interpret data and analyze big data and present the results in a clear and interesting way over dashboards and automated reports and should be able to analyze trends

· Provide advice to Operator based on the trend analysis.

· Researching the root causes of incidents

· Performing analysis to asset quality and dealing with different events.

· Filter Data by reviewing reports and performance indicators to identify and correct problems.

• Carrying out preprocessing of structured and unstructured data
• Enhancing data collection procedures to include all relevant information for developing analytic systems.
• Processing, cleansing, and validating the integrity of data to be used for analysis.

· Preparing final analysis reports for the stakeholders to understand the data-analysis results, enabling them to take important decisions based on various facts and trends.

· Define and maintain the needed data and coordinate with stakeholder departments to ensure data requirements are covered and properly presented and reported within the Smart Center.