Senior Data Intelligence Engineer

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Role Overview:

The Senior Data Intelligence Engineer will be a key contributor to the Data Intelligence team, responsible for leading the analysis, visualization, and interpretation of complex data to provide actionable insights that drive strategic decision-making across AGSCS. This role requires a strong understanding of data warehousing principles, advanced proficiency in Power BI, and proven experience in transforming data into impactful business intelligence solutions. The ideal candidate will be a proactive problem-solver with excellent communication skills and the ability to work independently and collaboratively.

Responsibilities:

• Data Modeling and Warehousing:
  • Apply a strong understanding of data warehousing concepts (e.g., ETL/ELT, dimensional modeling, schema design) to optimize data structures for reporting and analysis.
  • Collaborate with data engineers to ensure data quality, integrity, and accessibility within the data warehouse environment.
  • Design and implement data models in Power BI that are efficient, scalable, and aligned with business needs.
• Advanced Data Analysis and Reporting:
  • Conduct in-depth statistical analysis, identify key trends, and develop predictive insights from complex datasets.
  • Design, develop, and maintain sophisticated interactive dashboards and reports in Power BI to visualize data and communicate findings effectively to various stakeholders.
  • Utilize DAX (Data Analysis Expressions) in Power BI to create complex calculations, measures, and KPIs.
  • Perform data validation and quality checks to ensure the accuracy and reliability of reports and analyses.
• Business Intelligence Solutions and Strategy:
  • Collaborate with business stakeholders to understand their analytical requirements and translate them into effective BI solutions.
  • Proactively identify opportunities to leverage data to improve business processes and performance.
  • Contribute to the development and implementation of the data intelligence strategy and best practices.
• Mentorship and Collaboration:
  • Mentor and provide guidance to junior data analysts on data analysis techniques, Power BI best practices, and data warehousing concepts.
  • Collaborate effectively with cross-functional teams, including IT, business units, and leadership.
  • Present findings and recommendations to both technical and non-technical audiences.

Qualifications:

• Bachelors degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Business Analytics, or a related discipline.
• Minimum of 4 years of proven experience in a data analysis or business intelligence role.
• Expert proficiency in Microsoft Power BI, including data modeling, report and dashboard development, and advanced DAX calculations.
• Solid understanding of data warehousing concepts, methodologies (e.g., Kimball, Inmon), and best practices.
• Solid understanding of database concepts and strong SQL skills for data extraction and manipulation.
• Excellent analytical and problem-solving skills with the ability to work with large and complex datasets.
• Strong data visualization skills and the ability to present complex information clearly and concisely.
• Excellent communication (written and verbal) and interpersonal skills, with the ability to effectively communicate with both technical and non-technical stakeholders.
• Ability to work independently, manage multiple tasks, and prioritize effectively in a fast-paced environment.

Information :

• Company : Arrow Electronics, Inc.
• Position : Senior Data Intelligence Engineer
• Location : Cairo
• Country : EG

How to Submit an Application:

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