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Data Analyst Engineer

Basco Engineering &Tradi...
Heliopolis, Cairo
Basco Engineering &Trading logo

Data Analyst Engineer

Heliopolis, Cairoposted 59 minutes ago
18Applicants for1 open position
  • 0Viewed
  • 0In Consideration
  • 0Not Selected

Job Details

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Job Description

  • Collect, process, and analyze large datasets from various engineering and operational sources to support business decision-making.
  • Develop and maintain data pipelines and ETL processes to ensure data integrity and accessibility.
  • Collaborate with cross-functional teams, including engineering, operations, and IT, to identify data requirements and deliver actionable insights.
  • Design and implement dashboards, reports, and visualizations to communicate key metrics and trends to stakeholders.
  • Perform statistical analysis and predictive modeling to identify patterns, anomalies, and opportunities for process improvement.
  • Support the integration of data analytics into engineering workflows to enhance product quality and operational efficiency.
  • Ensure data security, privacy, and compliance with relevant regulations and company policies.
  • Document data analysis processes, methodologies, and findings for future reference and knowledge sharing.
  • Assist in the evaluation and adoption of new data analytics tools and technologies.
  • Provide training and support to team members on data analytics best practices and tools.

Job Requirements

  • Bachelor’s degree in Engineering, Computer Science, Data Science, or a related field.
  • 2 to 6 years of experience in data analysis, data engineering, or a similar role.
  • Proficiency in data analysis tools such as Python, R, or SQL.
  • Experience with data visualization platforms like Power BI, Tableau, or similar.
  • Strong understanding of database management systems and ETL processes.
  • Excellent analytical and problem-solving skills with attention to detail.
  • Ability to work effectively in a fast-paced, team-oriented environment.
  • Strong communication skills to present complex data findings to non-technical stakeholders.
  • Familiarity with statistical analysis and predictive modeling techniques.
  • Experience in the engineering or manufacturing sector is a plus.

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