Senior BI Developer

Cairo - Egypt

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

A subsidiary of Al Ahly Capital Al Ahly Momkn is a fast-evolving Fin-tech company committed to promoting secure convenient & seamless payment solutions and financial services for business owners service providers and consumers across Egypt.

At Al Ahly Momkn we foster a culture of innovation collaboration and personal growth.
We believe in empowering our employees to unleash their full potential and make a real impact in their roles. As part of our team youll have the opportunity to work on exciting projects learn from industry experts and be part of a supportive and inclusive community.

Understand business requirements within the BI context and translate them into scalable data models and data marts that convert raw data into meaningful insights.
Design develop and deploy dashboards and interactive visual reports using Power BI and Metabase.
Identify and define KPIs with clear objectives and consistently monitor their performance.
Analyze large datasets and present findings through accurate reports to support data-driven decision-making.
Convert business needs into detailed technical specifications estimate timelines and ensure timely delivery.
Develop and optimize Power BI/Metabase scripts ensuring efficient and detailed analytical outputs.
Write and maintain complex DAX queries and functions in Power BI.
Create charts visualizations and documentation explaining algorithms parameters models and data relationships.
Participate in Oracle Data Warehouse development and enhancement activities.
Execute advanced SQL querying to deliver high-quality analytical results.
Build dynamic filters graphs and visuals to improve data interpretation and usability.
Analyze existing ETL processes and contribute to defining and designing new systems for improved performance.
Perform technical enhancements troubleshooting and optimization of existing BI systems to ensure reliability and efficiency.

Requirements

Bachelors degree in computer science or a related field.

Strong knowledge of Fintech e-payment systems and business functions.

Proven experience working with Linux and Windows Server operating systems.

Hands-on experience with Oracle MySQL and MS-SQL database environments.

Strong proficiency in Python for data processing and analytics.

Solid understanding of Data Warehouse (DWH) concepts.

Proven experience using ETL tools such as Apache Spark Airflow Impala Hive and Doris.

Ability to work within ambitious timelines in a dynamic high-growth environment.

Strong understanding of ODS DDS and data marts structures.

Excellent communication skills with the ability to interact effectively with both technical and business stakeholders.

Benefits

Embark on an exciting journey with the Fin-Tech Experts.
Join a workplace that actively encourages and supports all talents.
A support system where you have a safe place to voice your opinion share feedback and be your true authentic self.
Join us in our mission to accelerate financial inclusion and make financial freedom accessible to all.

Understand business requirements within the BI context and translate them into scalable data models and data marts that convert raw data into meaningful insights.
Design develop and deploy dashboards and interactive visual reports using Power BI and Metabase.
Identify and define KPIs with clear objectives and consistently monitor their performance.
Analyze large datasets and present findings through accurate reports to support data-driven decision-making.
Convert business needs into detailed technical specifications estimate timelines and ensure timely delivery.
Develop and optimize Power BI/Metabase scripts ensuring efficient and detailed analytical outputs.
Write and maintain complex DAX queries and functions in Power BI.
Create charts visualizations and documentation explaining algorithms parameters models and data relationships.
Participate in Oracle Data Warehouse development and enhancement activities.
Execute advanced SQL querying to deliver high-quality analytical results.
Build dynamic filters graphs and visuals to improve data interpretation and usability.
Analyze existing ETL processes and contribute to defining and designing new systems for improved performance.
Perform technical enhancements troubleshooting and optimization of existing BI systems to ensure reliability and efficiency.