Analyst - Data Engineering

Summary

About The Role

• Ensure the quality and accuracy of master data across Enterprise Resource Planning software, and in house planning software master data.
• Design, maintain, and update Power BI dashboards for continuous data quality monitoring.
• Coordinate data migration activities, including the preparation of datasets aligned with defined requirements.
• Ensure data consistency across systems and resolve discrepancies when identified.
• Support data analysis, cleansing, correction, and transformation to enhance usability and reliability.
• Document master data across systems in a structured manner to ensure traceability and clarity.
  

Essential Requirements

• Python: for process automation, data transformation, and advanced analytics.
• Power BI: for building interactive dashboards and monitoring data quality.
• Alteryx: for no-code ETL workflows and data preparation.
• SQL: for querying, extracting, and validating data from structured databases.
• Excel: for exploratory analysis, quick validations, and data documentation.
• Miro: for visual collaboration, process mapping, and activity planning.
  

Technical Competencies

• Data Engineering: Ability to design, build, and maintain efficient and scalable data pipelines.
• ETL Processes: Proficiency in extracting, transforming, and loading data from multiple sources.
• Data Analysis: Skill in interpreting data, identifying patterns, and generating insights to support decision-making.
• Reporting: Competence in creating clear, visual, and results-oriented reports.
• Analytical Thinking: Structured approach to solving complex problems through data analysis.
• Artificial Intelligence Application: Experience using AI for building intelligent agents and performing advanced data analysis.
  

Soft Skills

• Effective Communication: Ability to clearly convey ideas and adapt messaging to both technical and non-technical audiences.
• Team Collaboration: Willingness to work cross-functionally with various teams and departments.
• Proactivity: Initiative to identify improvement opportunities and act independently.
• Time Management: Strong organizational skills to prioritize tasks and meet tight deadlines.
• Results Orientation: Focus on delivering high-impact solutions aligned with business goals.
  

Desirable Requirements

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