6 Monitoring Analyst jobs in Egypt
Data Analyst Trainer
Top Business Human Resources
Posted today
Job Viewed
Job Description
**Job Description**:
- The main role is to conduct training for both Microsoft Power BI and Microsoft Excel
- Assist with ongoing as a consultant for projects as requested
- Ability to connect and build relationships with Trainees and colleagues from varied ethnicities, ages, backgrounds, learning styles, and abilities
- Utilizing a variety of training methodologies, techniques, concepts, learning tools, and practices to ensure maximum effectiveness of training programs.
Qualifications:
- B.A Degree in Computer science or Information technology.
- Experience 7+ at least in Power Bi and Advanced Excel.
- Experience in Data Visualization & Data Analysis.
- Excellent Command of English isA Must.
- The main role is to conduct training for both Microsoft Power BI and Microsoft Excel
- Assist with ongoing as a consultant for projects as requested
- Ability to connect and build relationships with Trainees and colleagues from varied ethnicities, ages, backgrounds, learning styles, and abilities
- Utilizing a variety of training methodologies, techniques, concepts, learning tools, and practices to ensure maximum effectiveness of training programs.
Qualifications:
- B.A Degree in Computer science or Information technology.
- Experience 7+ at least in Power Bi and Advanced Excel.
- Experience in Data Visualization & Data Analysis.
- Excellent Command of English isA Must.
This advertiser has chosen not to accept applicants from your region.
0
Senior Data Analyst
Cairo, Al Qahirah
Giza Systems
Posted 3 days ago
Job Viewed
Job Description
The Role
Job Description
We are seeking an experienced and results-driven senior data analyst to join our dynamic analytics team. As a senior data analyst, you will be responsible for analyzing complex data, providing actionable insights, and supporting data-driven decision-making across various business functions. You will play a key role in interpreting large datasets, identifying trends, and helping the company develop data strategies to drive business performance.
Data Modeling & Visualization:
- Design and develop data models to support business decision-making processes.
- Create and maintain visualizations and dashboards using tools such as Power BI, Incorta, and Informatica.
- Implement and enhance data models for predictive and prescriptive analytics.
Advanced Statistical & Predictive Analysis:
- Apply statistical techniques (regression, clustering, hypothesis testing) and predictive modeling to solve business problems.
- Use machine learning algorithms and other advanced analytics techniques to forecast trends and outcomes.
Collaboration with Business Units:
- Work closely with other departments (marketing, finance, operations, etc.) to understand their data needs and provide actionable solutions.
- Assist in the creation of business reports, performance metrics, and KPIs for leadership.
Data Governance & Quality Assurance:
- Ensure the integrity, accuracy, and consistency of the data used across the organization.
- Help maintain data quality standards and troubleshoot any data discrepancies.
- Ensure compliance with relevant data privacy regulations and internal policies.
Mentorship & Leadership:
- Provide guidance and mentorship to junior data analysts, assisting in their professional growth.
- Lead and manage analytics projects, ensuring timely and efficient completion.
- Work with the analytics section head directly to achieve our goals.
Personal Skills:
- Ability to work in a rapidly changing environment.
- Ability to multi-task and context-switch effectively between different activities and teams.
- Strong problem-solving skills and attention to detail.
- Excellent communication and presentation skills.
- Very good command of English.
- Time management skills.
Technical Skills:
- Advanced proficiency in SQL, Excel, and other data analysis tools.
- Strong experience with data visualization tools (Power BI, Informatica, Incorta, etc.).
- Experience with statistical analysis tools (e.g., R, Python, SAS).
- Expertise in data modeling, predictive analytics, and statistical techniques.
- Solid understanding of data warehousing, ETL processes, and data integration.
- Knowledge of machine learning algorithms and frameworks.
- Experience with Synapse Analytics.
- Proven ability to analyze large datasets and present complex findings to non-technical stakeholders.
- ERP reporting knowledge such as Oracle Fusion, Dynamic CRM 365, etc.
- Experience using Microsoft Power Platform (Microsoft Fabric, PowerApps, Power Automate, etc.).
This advertiser has chosen not to accept applicants from your region.
1
CS Data Analyst, Customer Service
Cairo, Al Qahirah
Amazon
Posted 11 days ago
Job Viewed
Job Description
Description
The CS Data Analyst will support the rapid growth of Customer Service Org by developing business metrics, mining data to uncover consumer insights and business opportunity, and also partnering with internal stakeholders to drive the business. This role requires an individual with excellent understanding of SQL and query development, good business acumen and the ability to work with multiple teams and stakeholders. Successful candidate will be a self-starter comfortable with ambiguity, will have strong attention to detail, and will be comfortable working in fast-paced and dynamic environment.
Additional locations include: Amman-Jordan
Key job responsibilities
- Understanding data and using automated, tools to extract data from databases.
- Designing of queries and generation of reports, dashboards and maintenance of data integrity.
- Plan and execute multiple projects, collaborating cross functionally/geographically.
- Complete ad hoc data retrieval and analysis using relational databases, Excel and other data management systems to fetch raw data and analyze it to prepare insightful reports.
- Deep dive into the data to capture defects and surface improvement opportunities using visualization, charts and graphs.
- Support CS Operations during large scale feature, product and business launches.
- Data collection and entry as needed. Data mining and problem solving.
- Timely communication with team and Stakeholders on progress updates.
About the team
Amazon's mission is to be Earth's most customer-centric company. We work towards a single goal: which is to ensure the best experience for our customers. To achieve this, Amazon Middle East Customer Service (CS) is looking for a Data Analyst who analyzes Customer Service (CS) operational data to identify trends and deliver actionable insights. This role creates performance reports, identifies customer pain points through data analysis, and recommends solutions to improve customer experience. The analyst works closely with CS teams to implement data-driven improvements.
Basic Qualifications
- Strong mathematical skills to help collect, measure, organize and analyze data.
- Strong Analytical and logical thinking to decode issues with data.
- Experience defining requirements and using data and metrics to generate business insights.
- Technical skills - Advanced proficiency in SQL/ETL, Microsoft Excel, and statistical analysis tools and techniques.-Experience with data visualization using QuickSight, Tableau, or similar tools.
- Strong Analytical skills - has ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusion relevant to the business problem.
- Ability to present information professionally & concisely with supporting data.
- Ability to work effectively & independently in a fast-paced environment with tight deadlines.
- Excellent verbal and written communications skills are a must, as well as the ability to work effectively with multiple teams and stakeholders.
Preferred Qualifications
- Bachelor's degree in Engineering, Mathematics, Statistics or similar quantitative discipline
- 2-3 years in relevant experience as Business Analyst or equivalent
- Background in e-commerce, retail, telecommunications, customer operations
- Awareness and experience of automating workflows and mechanisms
- SQL and analytical tools and techniques
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The CS Data Analyst will support the rapid growth of Customer Service Org by developing business metrics, mining data to uncover consumer insights and business opportunity, and also partnering with internal stakeholders to drive the business. This role requires an individual with excellent understanding of SQL and query development, good business acumen and the ability to work with multiple teams and stakeholders. Successful candidate will be a self-starter comfortable with ambiguity, will have strong attention to detail, and will be comfortable working in fast-paced and dynamic environment.
Additional locations include: Amman-Jordan
Key job responsibilities
- Understanding data and using automated, tools to extract data from databases.
- Designing of queries and generation of reports, dashboards and maintenance of data integrity.
- Plan and execute multiple projects, collaborating cross functionally/geographically.
- Complete ad hoc data retrieval and analysis using relational databases, Excel and other data management systems to fetch raw data and analyze it to prepare insightful reports.
- Deep dive into the data to capture defects and surface improvement opportunities using visualization, charts and graphs.
- Support CS Operations during large scale feature, product and business launches.
- Data collection and entry as needed. Data mining and problem solving.
- Timely communication with team and Stakeholders on progress updates.
About the team
Amazon's mission is to be Earth's most customer-centric company. We work towards a single goal: which is to ensure the best experience for our customers. To achieve this, Amazon Middle East Customer Service (CS) is looking for a Data Analyst who analyzes Customer Service (CS) operational data to identify trends and deliver actionable insights. This role creates performance reports, identifies customer pain points through data analysis, and recommends solutions to improve customer experience. The analyst works closely with CS teams to implement data-driven improvements.
Basic Qualifications
- Strong mathematical skills to help collect, measure, organize and analyze data.
- Strong Analytical and logical thinking to decode issues with data.
- Experience defining requirements and using data and metrics to generate business insights.
- Technical skills - Advanced proficiency in SQL/ETL, Microsoft Excel, and statistical analysis tools and techniques.-Experience with data visualization using QuickSight, Tableau, or similar tools.
- Strong Analytical skills - has ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusion relevant to the business problem.
- Ability to present information professionally & concisely with supporting data.
- Ability to work effectively & independently in a fast-paced environment with tight deadlines.
- Excellent verbal and written communications skills are a must, as well as the ability to work effectively with multiple teams and stakeholders.
Preferred Qualifications
- Bachelor's degree in Engineering, Mathematics, Statistics or similar quantitative discipline
- 2-3 years in relevant experience as Business Analyst or equivalent
- Background in e-commerce, retail, telecommunications, customer operations
- Awareness and experience of automating workflows and mechanisms
- SQL and analytical tools and techniques
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
2
Data Analytics - Data Analyst - Cairo
Infomineo
Posted today
Job Viewed
Job Description
**About us**
Infomineo is a fast-growing business insights provider, bringing Brainshoring to global clients across a range of services: Business research, Content Services, Graphic Design, and Data Analytics. Our clients include leading Consultancies, Fortune 500 companies, Governments, and NGOs. Infomineo counts 350+ employees spread across 5 offices covering EMEA and the Americas (Casablanca, Cairo, Dubai, Barcelona and Mexico City).
**About this role**
This role will give you the opportunity to deliver high added value data & analytics projects and build high quality and innovative solutions for our clients within a growing service company.
**What will you do?**
Assist businesses in the decision-making process for Data Driven projects using the following steps:
- Contribute to the design of the technical solution chosen to collect, analyze data, and display the results obtained.
- Propose solutions and strategies to tackle business challenges.
- Present results in a clear manner
**ACQUISITION & PREPARATION**
- Clean and prepare the data with the Data Scientists.
- Collect and transform data from the various sources available in big data environments.
**ANALYSIS**
- Provide data visualization to inform business decisions.
- Analyze and interpret data to extract complex relationships and trends.
- Optimize data exploration using Machine Learning techniques.
**DEPLOYMENT**
- Adapt and integrate analytics models into the client's IS environment.
- Assist the IT teams in all phases of the production, maintenance and updating of the models developed.
**Requirements**:
**Who are you?**
**EDUCATION & PROFESSIONAL EXPERIENCE**
- Master's degree in a relevant field such as Computer Science, Machine Learning, Data Science, Statistics, Applied Mathematics, Data Engineering
- Full proficiency in English + 1 Additional language (French, German, Arabic, Spanish, Italian, Portuguese.)
- 0 to 4 years of technical experience in advanced analytics and business intelligence
**TECHNICAL SKILLS**
**ACQUISITION & PREPARATION**
- Exposure to Big Data environments and languages such as Hadoop, Hortonworks, Cloudera, Spark, Scala, PySpark etc. &Big Data querying tools, such as Pig, Hive, and Impala
- Exposure to large data sets both structured and unstructured data: Snowflake, SQL and relational databases, data warehouse, data lake
- Exposure to Python programming language coupled with an additional languages experience if possible (e.g. SAS, R, Javascript)
**ANALYSIS**
- Good skills in Analytical concepts such as data correlation, pareto, market-basket analysis, forecasting, creating complex visuals like sunburst, multi-layered maps, etc.
- Experience in BI/Data visualization platforms such as Power BI, Tableau, Looker, QlikView
**DEPLOYMENT**
- Exposure to versioning software: Git, Github, Gitlab
- Exposure to API integration using Python for extracting data from different sources
**INTERPERSONAL SKILLS**
- Ability to step back, analyze problems, find solutions and the drive to implement these.
- Ability to work & collaborate with variety of stakeholders & clients throughout data project life-cycle
- Strong interpersonal skills and organisational skills, high motivation, an attention to detail, flexibility, and ability to cope under stress, a focus on identifying the solutions to problems.
- Good communication skills & ability to translate complex solutions into business implications and at the same time being able to explain mathematical concepts when required
**Benefits**
**What we offer**
- A competitive salary
- A great working environment
- A steep learning curve with interesting and diverse topics to work on
- A healthy work-life balance
- Health insurance Benefits
**Equal opportunity employer**
Infomineo is an equal opportunity employer, we prohibit any sort of discrimination (based on color, race, sex, sexual orientation, religion, national origin or any other attributes) in all aspects of employment (recruiting, hiring, wages and salary, promotions, benefits, training and job termination).
If you believe you match our requirements and values, we would be happy to hear from you. Visit our website to know more about us, our services and company culture.
Infomineo is a fast-growing business insights provider, bringing Brainshoring to global clients across a range of services: Business research, Content Services, Graphic Design, and Data Analytics. Our clients include leading Consultancies, Fortune 500 companies, Governments, and NGOs. Infomineo counts 350+ employees spread across 5 offices covering EMEA and the Americas (Casablanca, Cairo, Dubai, Barcelona and Mexico City).
**About this role**
This role will give you the opportunity to deliver high added value data & analytics projects and build high quality and innovative solutions for our clients within a growing service company.
**What will you do?**
Assist businesses in the decision-making process for Data Driven projects using the following steps:
- Contribute to the design of the technical solution chosen to collect, analyze data, and display the results obtained.
- Propose solutions and strategies to tackle business challenges.
- Present results in a clear manner
**ACQUISITION & PREPARATION**
- Clean and prepare the data with the Data Scientists.
- Collect and transform data from the various sources available in big data environments.
**ANALYSIS**
- Provide data visualization to inform business decisions.
- Analyze and interpret data to extract complex relationships and trends.
- Optimize data exploration using Machine Learning techniques.
**DEPLOYMENT**
- Adapt and integrate analytics models into the client's IS environment.
- Assist the IT teams in all phases of the production, maintenance and updating of the models developed.
**Requirements**:
**Who are you?**
**EDUCATION & PROFESSIONAL EXPERIENCE**
- Master's degree in a relevant field such as Computer Science, Machine Learning, Data Science, Statistics, Applied Mathematics, Data Engineering
- Full proficiency in English + 1 Additional language (French, German, Arabic, Spanish, Italian, Portuguese.)
- 0 to 4 years of technical experience in advanced analytics and business intelligence
**TECHNICAL SKILLS**
**ACQUISITION & PREPARATION**
- Exposure to Big Data environments and languages such as Hadoop, Hortonworks, Cloudera, Spark, Scala, PySpark etc. &Big Data querying tools, such as Pig, Hive, and Impala
- Exposure to large data sets both structured and unstructured data: Snowflake, SQL and relational databases, data warehouse, data lake
- Exposure to Python programming language coupled with an additional languages experience if possible (e.g. SAS, R, Javascript)
**ANALYSIS**
- Good skills in Analytical concepts such as data correlation, pareto, market-basket analysis, forecasting, creating complex visuals like sunburst, multi-layered maps, etc.
- Experience in BI/Data visualization platforms such as Power BI, Tableau, Looker, QlikView
**DEPLOYMENT**
- Exposure to versioning software: Git, Github, Gitlab
- Exposure to API integration using Python for extracting data from different sources
**INTERPERSONAL SKILLS**
- Ability to step back, analyze problems, find solutions and the drive to implement these.
- Ability to work & collaborate with variety of stakeholders & clients throughout data project life-cycle
- Strong interpersonal skills and organisational skills, high motivation, an attention to detail, flexibility, and ability to cope under stress, a focus on identifying the solutions to problems.
- Good communication skills & ability to translate complex solutions into business implications and at the same time being able to explain mathematical concepts when required
**Benefits**
**What we offer**
- A competitive salary
- A great working environment
- A steep learning curve with interesting and diverse topics to work on
- A healthy work-life balance
- Health insurance Benefits
**Equal opportunity employer**
Infomineo is an equal opportunity employer, we prohibit any sort of discrimination (based on color, race, sex, sexual orientation, religion, national origin or any other attributes) in all aspects of employment (recruiting, hiring, wages and salary, promotions, benefits, training and job termination).
If you believe you match our requirements and values, we would be happy to hear from you. Visit our website to know more about us, our services and company culture.
This advertiser has chosen not to accept applicants from your region.
3
Credit/market Risk Senior System Analyst
Sarmad
Posted today
Job Viewed
Job Description
We are looking for a system analyst to implement and improve our IT systems. You will analyze system requirements and address any relevant problems. You will also perform standard testings and provide solutions to ensure high levels of performance and security. As a system analyst, you will be joining a team of engineers and developers who are passionate about new IT systems, software development and different programming languages. If you are also interested in discovering and implementing new features, we would like to meet you. Ultimately, you should be able to translate our internal and external clients’ needs into new high quality IT systems.
**Skills**
- Experience as a Murex Credit / Market Risk Developer / Consultant.
- A strong level understanding of financial products and related risks
- A very good knowledge of MLC computation process (Feeding of the Data, MLC risks calculations based on implemented formulas and Limits monitor screens used for the display and analysis of the results)
- Strong knowledge of simulation views and layouts, especially risk outputs settings
- Strong understanding of MLC risk configuration, mainly adjusting existing risks to a specific requirement
- A strong knowledge on LRB configuration to guide reporting team
- A strong knowledge on Murex collateral.
- A working knowledge of specific Credit and market risk measures in Murex:
PFE/CVA: calibration and computation
- Regulatory risk measures:
Understands MRB configuration and MRA display views (Enterprise Market Risk Monitor)
- Basic knowledge of the regulatory requirement
- A basic understanding of pricing models and calibration process
- List of needed Risk measures:
- FRTB
- Basic CVA
- SIMM
- SA-CCR
- VaR
- Experience of 5 to 10 years
**Requirements**:
- Experience in banking business is mandatory
- Valid passport
- Ability to travel based on business needs
**Benefits**
- Attractive salaries
- Healthy working environment
- Medical Insurance
- Social Insurance
**Skills**
- Experience as a Murex Credit / Market Risk Developer / Consultant.
- A strong level understanding of financial products and related risks
- A very good knowledge of MLC computation process (Feeding of the Data, MLC risks calculations based on implemented formulas and Limits monitor screens used for the display and analysis of the results)
- Strong knowledge of simulation views and layouts, especially risk outputs settings
- Strong understanding of MLC risk configuration, mainly adjusting existing risks to a specific requirement
- A strong knowledge on LRB configuration to guide reporting team
- A strong knowledge on Murex collateral.
- A working knowledge of specific Credit and market risk measures in Murex:
PFE/CVA: calibration and computation
- Regulatory risk measures:
Understands MRB configuration and MRA display views (Enterprise Market Risk Monitor)
- Basic knowledge of the regulatory requirement
- A basic understanding of pricing models and calibration process
- List of needed Risk measures:
- FRTB
- Basic CVA
- SIMM
- SA-CCR
- VaR
- Experience of 5 to 10 years
**Requirements**:
- Experience in banking business is mandatory
- Valid passport
- Ability to travel based on business needs
**Benefits**
- Attractive salaries
- Healthy working environment
- Medical Insurance
- Social Insurance
This advertiser has chosen not to accept applicants from your region.
4
System/business Senior Analyst
Si-Ware Systems
Posted today
Job Viewed
Job Description
Actively works with product manager and management to understand strategic business objectives, and analyze and document customer business needs and system requirements. Works on the product road map and systems back log.
- Define and document the system functional requirements, analyses dependencies, and communicates with development teams and different stakeholders.
- Support development and testing engineers by clarifying requirements or business concerns raised anytime within the development lifecycle.
- Plan and work flexibly with multiple project teams to ensure deliverables are consistent across different platforms, and meet the acceptance criteria
- Bachelor’s degree in Computer Science, or any related discipline.
- A minimum of 3 years of relevant experience in Software projects.
- Excellent analytical skills.
- Professional in writing BRD use cases
- Good understanding of Software Development Life Cycle
- Excellent communication and Presentation skills
- Fluent in English.
- Define and document the system functional requirements, analyses dependencies, and communicates with development teams and different stakeholders.
- Support development and testing engineers by clarifying requirements or business concerns raised anytime within the development lifecycle.
- Plan and work flexibly with multiple project teams to ensure deliverables are consistent across different platforms, and meet the acceptance criteria
- Bachelor’s degree in Computer Science, or any related discipline.
- A minimum of 3 years of relevant experience in Software projects.
- Excellent analytical skills.
- Professional in writing BRD use cases
- Good understanding of Software Development Life Cycle
- Excellent communication and Presentation skills
- Fluent in English.
This advertiser has chosen not to accept applicants from your region.
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