ETIC, BI Engineer, Senior Associate

Cairo - Eticsenior

Other

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Quick Summary

Key Responsibilities

Design, develop, and deploy interactive dashboards and reports using Power BI. Translate business needs into technical specifications and maintain robust BI solutions.

Requirements Summary

Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field. 3-6 years of experience in a BI Engineer, Data

Technical Tools

Other

Advisory

Technology

Advisory - Other

Senior Associate

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Responsibilities

~1 min read

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Design, develop, and deploy interactive dashboards and reports using Power BI.
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Translate business needs into technical specifications and maintain robust BI solutions.
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Integrate data from multiple sources (e.g., SQL databases, APIs, Excel, cloud platforms).
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Develop and optimize DAX queries and data models for performance and usability.
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Collaborate with business stakeholders to understand reporting requirements.
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Implement and maintain data security and governance standards within Power BI.
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Monitor BI tools performance and troubleshoot technical issues as needed.
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Work closely with data engineers, analysts, and product teams to ensure data quality and integrity.
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Provide training and documentation for end-users and stakeholders on Power BI usage.

Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field.
3-6 years of experience in a BI Engineer, Data Analyst, or similar role.
Strong proficiency in Power BI, including DAX, Power Query (M), and data modeling.
Hands-on experience with SQL and relational databases, and Python or R for data analysis.
Familiarity with ETL processes and data warehousing concepts.
Excellent problem-solving skills and attention to detail.
Strong communication skills to present insights to both technical and non-technical audiences.

Nice to Have

~1 min read

Experience with Azure Data Services (e.g., Azure SQL, Data Factory).
Exposure to other BI tools (e.g., Tableau, Looker) is a plus.
Microsoft certifications (e.g., PL-300: Power BI Data Analyst) are a bonus.

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}