Data analytic Engineering

The Data Analytics Engineer is responsible for designing, developing, and maintaining interactive dashboards, reports, and data visualization solutions using Microsoft Power BI. This role works closely with business and cross-functional teams to collect, analyze, and transform data into meaningful insights that support operational and strategic decision-making.

Key Responsibilities

• Collect, clean, transform, and analyze large datasets from various sources.
• Design, develop, and maintain interactive dashboards and reports using Microsoft Power BI.
• Develop automated reports and data visualization solutions to improve reporting efficiency.
• Analyze data to identify trends, patterns, issues, and opportunities for improvement.
• Translate business requirements into effective dashboards, reports, and analytical solutions.
• Monitor data accuracy, consistency, and quality to ensure reliable reporting.
• Communicate analytical findings and key insights clearly to cross-functional teams and management.
• Work closely with different departments to understand business needs and provide data-driven solutions.
• Support continuous improvement through data analysis and reporting automation.
• Manage multiple projects and tasks while meeting agreed timelines and deadlines.

Qualifications

• Bachelor’s degree in Data Analytics, Data Science, Computer Science, Information Technology, Engineering, Statistics, Business Analytics, or a related field.
• Experience in Data Analytics, Business Intelligence, Power BI, or a related position.
• Proficient in Microsoft Power BI with experience in dashboard and report development.
• Knowledge of Power Query, DAX, data modeling, and data visualization.
• Strong ability to collect, clean, organize, and analyze large datasets.
• Strong analytical and problem-solving skills with the ability to identify trends, patterns, and opportunities for improvement.
• Good knowledge of Microsoft Excel and data analysis tools.
• Knowledge of SQL or database management is an advantage.
• Able to communicate analytical findings clearly to cross-functional teams.
• Good teamwork and communication skills.
• Able to manage multiple projects, prioritize tasks, and meet deadlines.
• Experience in a manufacturing or industrial environment is an advantage.
• Good command of English is an advantage.