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Data Analyst

JAL International Co. Ltd. · Jubail, Eastern, Saudi Arabia

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Job Title: Data AnalystJob SummaryWe are looking for a detail-oriented and analytical Data Analyst to collect, process, and interpret data to support business decision-making. The ideal candidate should have strong analytical skills, experience working with large datasets, and the ability to present actionable insights through reports and dashboards.Key ResponsibilitiesCollect, clean, and validate data from multiple sources.Analyze large datasets to identify trends, patterns, and business insights.Design, develop, and maintain dashboards and reports using BI tools.Prepare periodic reports and presentations for stakeholders.Write SQL queries to extract and manipulate data.Collaborate with business teams to understand reporting requirements.Monitor key performance indicators (KPIs) and recommend improvements.Perform ad hoc analysis to support business initiatives.Ensure data accuracy, consistency, and integrity.Document data definitions, processes, and analytical methodologies.Required SkillsStrong knowledge of SQL for data extraction and analysis.Proficiency in Microsoft Excel (Pivot Tables, Power Query, Advanced Formulas).Experience with visualization tools such as Power BI or Tableau.Knowledge of Python or R for data analysis is preferred.Understanding of statistics and data analysis techniques.Strong problem-solving and critical-thinking skills.Excellent communication and presentation skills.Attention to detail and ability to work with large datasets.QualificationsBachelor's degree in computer science, Information Technology, Statistics, Mathematics, Business Analytics, or a related field.2–6 years of experience as a Data Analyst or in a similar analytical role.Experience working with databases and data warehouses is preferred.Preferred QualificationsKnowledge of ETL processes and data modeling.Experience with cloud platforms such as AWS, Azure, or Google Cloud.Familiarity with machine learning concepts is an advantage.Relevant certifications in Power BI, Tableau, SQL, or Data Analytics are a plus.