ETIC, BI Engineer, Manager

Cairo - Eticmid

OtherEngineer Manager

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Quick Summary

Key Responsibilities

Extract, transform, and load data from various sources, and design data models to support comprehensive and user-friendly reports.

Requirements Summary

Integrate Power BI solutions with other data sources and systems within the organization to provide a cohesive view of business metrics.

Technical Tools

OtherEngineer Manager

Advisory

Technology

Advisory - Other

Manager

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.

Job Description

We are seeking a skilled and motivated Power BI Engineer with a solid background in computer science or engineering to join our dynamic team. As a Power BI Engineer, you will be responsible for designing, developing, and maintaining business intelligence solutions that transform data into actionable insights.

Responsibilities

~2 min read

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Data Analysis and Reporting: Extract, transform, and load data from various sources, and design data models to support comprehensive and user-friendly reports.
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Dashboard Development: Create interactive and visually appealing dashboards using Power BI to help stakeholders make informed decisions.
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Performance Optimization: Ensure the efficiency and performance of Power BI reports and dashboards by optimizing queries and data models.
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Collaboration: Work closely with cross-functional teams, including data analysts, software developers, and business stakeholders, to understand their requirements and deliver tailored BI solutions.
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Data Integration: Integrate Power BI solutions with other data sources and systems within the organization to provide a cohesive view of business metrics.
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Documentation: Maintain comprehensive documentation of BI projects, data models, and processes for reference and knowledge sharing.
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Training and Support: Provide training and support to end-users on Power BI functionalities and best practices.

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Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
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7+ years of experience in BI development
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Power BI, data analytics, Azure Data Lake, SQL, data visualization.
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Financial Services background preferable.
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Experience with data quality and reporting in a regulated environment.
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Hands on experience with other BI tools and technologies
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Experience: Proven experience in Power BI development and data analysis, with a strong understanding of the Microsoft BI stack (Power BI, SSRS, SSAS, SSIS).
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Technical Skills: Proficiency in DAX, M language, SQL, and data modeling. Knowledge of data warehousing concepts and ETL processes.
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Analytical Skills: Strong problem-solving abilities and attention to detail. Ability to analyze complex data sets and translate them into meaningful insights.
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Communication Skills: Excellent verbal and written communication skills. Ability to present technical information to non-technical stakeholders clearly and concisely.
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Team Player: Ability to work effectively in a collaborative team environment and manage multiple priorities.
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Knowledge of data governance and data security best practices.
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Certifications in Power BI or related technologies.

Nice to Have

~1 min read

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 44 more}