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Urgent! Data Analytics & BI Engineer Job Opening In Cairo – Now Hiring AXA

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Data Analytics & BI Engineer

Data Analytics & BI Engineer



Job description

Job Description

Key Responsibilities:

As a Data Analytics & BI Engineer, you will be a crucial player in our data-driven decision-making process.

Your role will involve developing, optimizing, and maintaining our business analytics solutions, enabling stakeholders to access and utilize data for informed decision-making.

  • Data Collaboration: Collaborate with business units to understand their data needs and provide solutions that drive insights.
  • Data Acquisition: Oversee data acquisition processes, ensuring the seamless flow of data from various sources into our data ecosystem.
  • Data Acquisition and Integration: Collaborate with cross-functional teams to integrate and centralize data from various sources into our business intelligence platform.
  • Data Transformation: Implement ETL processes to transform raw data into usable formats for reporting and analysis.
  • Data Quality Assurance: Identify and implement strategies to improve data reliability, efficiency, and quality.
  • Data Modeling: Develop and maintain data models to support efficient data storage and enhance retrieval for reporting and analytics.
  • Dashboard Development: Design, develop, and maintain interactive dashboards and reports using tools like Power BI.
  • Report Development & Automation: Design and create interactive and visually appealing reports, dashboards, and data visualizations using tools like Power BI, Alteryx, or similar.
  • Performance Monitoring Optimization: Continuously monitor and optimize the performance of business intelligence solutions.
  • Ad Hoc Analysis: Perform ad hoc data analysis to answer specific business questions and uncover actionable insights.
  • Data Governance: Ensure data governance best practices are followed in reporting and analytics initiatives.
  • Predictive and Descriptive Modeling: development and implementation of predictive and descriptive modeling to support strategic decision-making and enhance business insights.
  • Programming and Tool Utilization: Utilize programming languages and tools to create efficient and scalable data analytics solutions.

    • Skills

    Business Knowledge/Technical Skills:

  • Bachelor's degree in a related field (, Business, Data Analytics, Computer Science).
  • Minimum of 2 years of experience in business intelligence, data analysis, or a related role.
  • Proficiency in SQL and experience working with relational databases.
  • Excellent data visualization and storytelling skills
  • Experience in Business intelligence reporting tools (, Power BI, etc..)
  • Experience in data modelling and report development.
  • Strong analytical and problem-solving and analytical abilities.
  • Excellent communication skills to convey complex data insights.
  • Effective communication and collaboration skills.
  • Ability to work collaboratively in a dynamic, cross-functional environment.
  • Familiarity with data management best practices, data governance and data quality concepts.
  • Experience in the insurance/financial industry is a plus.
  • Experience with ETL and data pipeline tools (, Informatics, Alteryx, SSIS) is a plus.
  • Familiarity with cloud services (, Azure, AWS) and big data technologies is a bonus.
  • Experience in object-oriented/object function scripting languages like Python.
  • Strong understanding for Statistics concepts

    • For experience Data engineer with 4+ years:

  • Working knowledge of message queuing, stream processing, and scalable 'big data' data stores.
  • Experience building and optimizing 'big data' data pipelines, architectures, and datasets.
  • Proficiency in big data tools such as Hadoop, Spark, and Kafka.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Familiarity with data pipeline and workflow management tools (, Apache Nifi, Luigi, Airflow, Databricks etc..).
  • Expertise in object-oriented/object function scripting languages like Python, Java, C++, Scala.


    • Required Skill Profession

    Mathematical Science Occupations



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      Unlock Your Data Analytics Potential: Insight & Career Growth Guide


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    • Interview Tips for Data Analytics & BI Engineer Job Success
      AXA interview tips for Data Analytics & BI Engineer

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        • Other Openings
      • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
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