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Full-timeWhite Collar

Data Analyst

EgyptOperationsOn-site
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Job Description

We are seeking a detail-oriented and analytical Data Analyst to join our team at a leading construction company. This role is essential for transforming complex datasets into actionable insights that drive strategic decision-making and enhance operational efficiency within our projects and processes.

Responsibilities

  • Collect, clean, and analyze large datasets from various sources to support project management and operational needs.
  • Develop and maintain reports and dashboards to track key performance indicators (KPIs) and project metrics.
  • Collaborate with cross-functional teams to understand their data needs and provide insights that help guide business objectives.
  • Perform statistical analyses to identify trends, patterns, and anomalies in data.
  • Assist in the development of data models and predictive analytics to forecast project outcomes and resource allocation.
  • Ensure data integrity by implementing data governance practices and conducting regular data quality assessments.
  • Present findings and insights to stakeholders in a clear and actionable manner.
  • Provide training and support to team members on data tools and best practices.

Requirements

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • Proven experience as a Data Analyst or in a similar analytical role, preferably in the construction or engineering industry.
  • Strong proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI).
  • Excellent knowledge of statistical analysis methods and tools.
  • Strong critical thinking and problem-solving skills, with the ability to interpret complex data.
  • Experience with programming languages such as Python or R for data analysis is a plus.
  • Effective communication skills, with the ability to present technical information to non-technical audiences.
  • Strong attention to detail and ability to work independently as well as part of a team.
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