6 Web Data jobs in Egypt
Head of Data Science & Analytics
Mondia Group
Posted today
Job Viewed
Job Description
**ABOUT US**:
**WHAT WE DO** | Mondia Pay is a rapidly growing FinTech company, disrupting the payment business across 60+ countries globally, with a strong focus on Africa & emerging markets. Our talented teams create tech that connects brands to people via meaningful content that impacts their lives in positive ways.
**WHY WE’RE DIFFERENT |** What makes us a leader in our industry, and different from other international digital tech companies, is our ability to tailor or custom create our offering to solve business challenges.
**WHERE YOU FIT IN |** We aim to build an inspiring organisation with an engaged and high-performing culture. We believe in possibilities. We connect to the future. Think unlimited digital potential, global reach, limitless content, unreal experiences, real connections now imagine the direct impact you could have in this landscape. If you are eager to work in an inspiring, dynamic environment and collaborate with like-minded people, we want to hear from you!
**ABOUT THE ROLE**
Mondia is seeking a Head of Data & Analytics to lead a talented data team to deliver transformational customer insights that drive marketing, content and product strategy. As the Head of Data & Analytics at Mondia, you will have the opportunity to work with a huge and rapidly growing data set generated by digital products and services with a charter to uncover insights that produce step-function growth in the Mondia Subscription base. You will develop people, form strong working partnerships with business and technology leaders, plan and execute analytical roadmaps, formulate analytical strategies for solving business problems, and develop strategies to scale the impact of data through development of self-service analytical programs.
**Responsibilities**:
- Leadership and management of a global Data Science/Analytics team of up to 10 members.
- Study and help maximize the company’s current data requirements, quality and maturity level.
- Partner with senior business and technology leaders to develop data-driven business strategies and forecast commercial performance, product mix expectations, and promotional program impact using industry leading methodologies.
- Deliver insights to help shape strategy across a wide spectrum of business and technology of different Mondia verticals like MondiaPay, Entertainment, Health and Lifestyle.
- Lead research and development of foundational business enablers, including acquisition and lifecycle stage propensity
models, customer segmentation models, experimentation metrics, marketing attribution models, and forecast and lift models.
- Oversee planning and execution of self-service analytics data infrastructure roadmap.
- Establish a data warehouse strategy to provide consistent, clean, and integrated data to enable user-generated reporting and self-help.
- Lead our Data Engineering team to build requirements for data infrastructure necessary to facilitate efficient advance analysis and reporting.
- Provide guidance and thought leadership on analytical best practices to team members and business partners.
- Translate analytic insights into concrete, actionable recommendations for business or product improvement.
- Effectively establishing and ensuring adherence to an enterprise data governance framework for Mondia data policies, standards, and practices, both at the department and functional areas level, to achieve the required level of consistency, quality and protection.
- Work with various department analyst teams to build and maintain business performance dashboards and reports to improve decisions, optimize processes and plans, and work proactively.
**Requirements**:
Other qualifications include:
- MS degree in Business, Economics, Statistics, Data Science, Data Mining, or other quantitative fields.
- 10+ years of experience in Analytics, Data Science Business Intelligence or other quantitative disciplines and a degree in statistics, economics, mathematics, or similar quantitative discipline
- 5+ years of analytical people management experience
- Deep experience developing successful analytics-based solutions to business problems
- Proven track record of solving ambiguous and highly complex data problems
- Proficiency using SQL to query large relational databases and ability to build and maintain processes to extract & integrate data from various sources
- Experience working with AWS, Hadoop/MapReduce, Spark or other Big Data technologies
- Experience with statistical analytics tools such as R, Python, SAS, or STATA
- Exceptional critical thinking, attention to detail and obsessed with data quality and integrity
- Strong interpersonal and communication skills. Must be able to explain technical concepts and analysis implications clearly to a wide and senior audience, and be able to translate business objectives into actionable analysis
**Benefits**
Family Medical and Health insurance
Annual Bonus
Paid time off
Flat hierarchies and short decision-making
**WHAT WE DO** | Mondia Pay is a rapidly growing FinTech company, disrupting the payment business across 60+ countries globally, with a strong focus on Africa & emerging markets. Our talented teams create tech that connects brands to people via meaningful content that impacts their lives in positive ways.
**WHY WE’RE DIFFERENT |** What makes us a leader in our industry, and different from other international digital tech companies, is our ability to tailor or custom create our offering to solve business challenges.
**WHERE YOU FIT IN |** We aim to build an inspiring organisation with an engaged and high-performing culture. We believe in possibilities. We connect to the future. Think unlimited digital potential, global reach, limitless content, unreal experiences, real connections now imagine the direct impact you could have in this landscape. If you are eager to work in an inspiring, dynamic environment and collaborate with like-minded people, we want to hear from you!
**ABOUT THE ROLE**
Mondia is seeking a Head of Data & Analytics to lead a talented data team to deliver transformational customer insights that drive marketing, content and product strategy. As the Head of Data & Analytics at Mondia, you will have the opportunity to work with a huge and rapidly growing data set generated by digital products and services with a charter to uncover insights that produce step-function growth in the Mondia Subscription base. You will develop people, form strong working partnerships with business and technology leaders, plan and execute analytical roadmaps, formulate analytical strategies for solving business problems, and develop strategies to scale the impact of data through development of self-service analytical programs.
**Responsibilities**:
- Leadership and management of a global Data Science/Analytics team of up to 10 members.
- Study and help maximize the company’s current data requirements, quality and maturity level.
- Partner with senior business and technology leaders to develop data-driven business strategies and forecast commercial performance, product mix expectations, and promotional program impact using industry leading methodologies.
- Deliver insights to help shape strategy across a wide spectrum of business and technology of different Mondia verticals like MondiaPay, Entertainment, Health and Lifestyle.
- Lead research and development of foundational business enablers, including acquisition and lifecycle stage propensity
models, customer segmentation models, experimentation metrics, marketing attribution models, and forecast and lift models.
- Oversee planning and execution of self-service analytics data infrastructure roadmap.
- Establish a data warehouse strategy to provide consistent, clean, and integrated data to enable user-generated reporting and self-help.
- Lead our Data Engineering team to build requirements for data infrastructure necessary to facilitate efficient advance analysis and reporting.
- Provide guidance and thought leadership on analytical best practices to team members and business partners.
- Translate analytic insights into concrete, actionable recommendations for business or product improvement.
- Effectively establishing and ensuring adherence to an enterprise data governance framework for Mondia data policies, standards, and practices, both at the department and functional areas level, to achieve the required level of consistency, quality and protection.
- Work with various department analyst teams to build and maintain business performance dashboards and reports to improve decisions, optimize processes and plans, and work proactively.
**Requirements**:
Other qualifications include:
- MS degree in Business, Economics, Statistics, Data Science, Data Mining, or other quantitative fields.
- 10+ years of experience in Analytics, Data Science Business Intelligence or other quantitative disciplines and a degree in statistics, economics, mathematics, or similar quantitative discipline
- 5+ years of analytical people management experience
- Deep experience developing successful analytics-based solutions to business problems
- Proven track record of solving ambiguous and highly complex data problems
- Proficiency using SQL to query large relational databases and ability to build and maintain processes to extract & integrate data from various sources
- Experience working with AWS, Hadoop/MapReduce, Spark or other Big Data technologies
- Experience with statistical analytics tools such as R, Python, SAS, or STATA
- Exceptional critical thinking, attention to detail and obsessed with data quality and integrity
- Strong interpersonal and communication skills. Must be able to explain technical concepts and analysis implications clearly to a wide and senior audience, and be able to translate business objectives into actionable analysis
**Benefits**
Family Medical and Health insurance
Annual Bonus
Paid time off
Flat hierarchies and short decision-making
This advertiser has chosen not to accept applicants from your region.
0
Senior Data Science Associate Sc7, Regional Bureau
World Food Programme
Posted today
Job Viewed
Job Description
**.**:
**TERMS AND CONDITIONS**:
**JOB TITLE**:
**Senior Data Science Associate**
**TYPE & LEVEL OF CONTRACT**:
**Service Contract, SC7**
**UNIT/DIVISION**:
**Technology**
**DUTY STATION (City, Country)**:
**Regional Bureau in Cairo (RBC), Cairo, Egypt**
**REPORT TO**:
**Regional Data Coordinator**
**DURATION OF CONTRACT**:
**1 year**
**ABOUT WFP**:
The United Nations World Food Programme is the world's largest humanitarian agency fighting hunger worldwide. The mission of WFP is to help the world achieve Zero Hunger in our lifetimes. Every day, WFP works worldwide to ensure that no child goes to bed hungry and that the poorest and most vulnerable, particularly women and children, can access the nutritious food they need.
WFP’s Regional Bureau for the Middle East and Northern Africa (RBC), based in Cairo, Egypt, provides strategic guidance, policy/technical support and direction to WFP operations and activities in 16 countries including Algeria, Armenia, Egypt, Iran, Iraq, Jordan, Lebanon, Libya, Morocco, Palestine, Syria, Tunisia, Turkey, Ukraine, Yemen and Moldova. These country offices aim to assist roughly one-third of all of WFP’s beneficiaries (approx. 30 million) in some of the most critical humanitarian emergencies of our time. RBC is also active in the ‘Changing Lives’ side of WFP’s mandate, helping national governments and local communities improve nutrition, livelihoods, school feeding, social protection, climate and disaster risk reduction and other programmes that build resilience and support development.
**WHY WORK AT WFP?**:
**SAVING & CHANGING LIVES **:
- Make a difference, the world will notice._
We are driven by our mission to fight world hunger and feed people’s dreams of a brighter future.
**GLOBAL COMMUNITY**:
- Build bridges that unite people across the world._
Being part of a global, diverse and multicultural community like WFP, will continuously expose you to new ideas and perspectives.
How we deliver our mission in a deep respect for personal and cultural differences and close collaboration between every member of our global team, will certainly enrich your experience and knowledge on so many levels.
**UNLIMITED POSSIBILITIES**:
- Unlock possibilities you never thought you'd find._
WFP goes anywhere it is needed and does whatever it takes to get the job done.
**LIFE-CHANGING EXPERIENCE**:
- Reach beyond yourself and discover your true potential._
WFP offers the kind of life-changing experiences you’re unlikely to find in many other organizations.
**Join us to make a difference**
**Watch this video to know more about us!**
**JOB PURPOSE**:
WFP Technology Division (TEC) is the digital business engine of the World Food Programme, providing the business with multi-pronged and resilient technical capabilities able to respond with the agility required in humanitarian operations. Technology and connectivity are rapidly reaching some of the most vulnerable people and places affected by crisis, but they are also increasingly expanding to the services responding to those same crises. As one of the main humanitarian actors, WFP has the opportunity and the obligation to leverage data and technology to better know and serve those in need by digitally transforming the way it works.
The job holder will be based and working for WFP Regional Bureau for Middle East, Norther Africa and Eastern Europe (RBC) which is located in Cairo. RBC provides strategic direction, technical guidance, resource mobilization and management support to WFP operations and activities in different countries in the region.
The Purpose of this job is to support the delivery of professional, client-focused data services, The job holder will be part of Data Service Team, within RBC TEC Unit, contributing in the delivery and implementation of data integration, analysis and visualization projects across field operations within RBC region.
**KEY ACCOUNTABILITIES (not all-inclusive)**:
**Responsibilities**:
- Responds to requests for exploration, identification, and acquisition of data sources to determine their suitability for use in decision making and advancing the goals of the organization. Leads other team members to prepare input to address requests.
- Provides client training and develops products, tools and processes to extend the capabilities of WFP Country offices.
- Prepares customized visualization and presentation products to reveal the findings of analysis for clients utilizing WFP standard tools such as Tableau.
- Build and strengthen the capacity of data visualization in RBC by organizing and facilitating trainings.
- Ensure adherence to WFP policies regarding data, including data privacy, security, management, and code documentation.
- Participate in field missions as required.
- Performs other duties as assigned.
**Work implies frequent interaction with the following**:
- Staff at various levels throughout the Organization.
- Specialized agencies and national governments.
-
**TERMS AND CONDITIONS**:
**JOB TITLE**:
**Senior Data Science Associate**
**TYPE & LEVEL OF CONTRACT**:
**Service Contract, SC7**
**UNIT/DIVISION**:
**Technology**
**DUTY STATION (City, Country)**:
**Regional Bureau in Cairo (RBC), Cairo, Egypt**
**REPORT TO**:
**Regional Data Coordinator**
**DURATION OF CONTRACT**:
**1 year**
**ABOUT WFP**:
The United Nations World Food Programme is the world's largest humanitarian agency fighting hunger worldwide. The mission of WFP is to help the world achieve Zero Hunger in our lifetimes. Every day, WFP works worldwide to ensure that no child goes to bed hungry and that the poorest and most vulnerable, particularly women and children, can access the nutritious food they need.
WFP’s Regional Bureau for the Middle East and Northern Africa (RBC), based in Cairo, Egypt, provides strategic guidance, policy/technical support and direction to WFP operations and activities in 16 countries including Algeria, Armenia, Egypt, Iran, Iraq, Jordan, Lebanon, Libya, Morocco, Palestine, Syria, Tunisia, Turkey, Ukraine, Yemen and Moldova. These country offices aim to assist roughly one-third of all of WFP’s beneficiaries (approx. 30 million) in some of the most critical humanitarian emergencies of our time. RBC is also active in the ‘Changing Lives’ side of WFP’s mandate, helping national governments and local communities improve nutrition, livelihoods, school feeding, social protection, climate and disaster risk reduction and other programmes that build resilience and support development.
**WHY WORK AT WFP?**:
**SAVING & CHANGING LIVES **:
- Make a difference, the world will notice._
We are driven by our mission to fight world hunger and feed people’s dreams of a brighter future.
**GLOBAL COMMUNITY**:
- Build bridges that unite people across the world._
Being part of a global, diverse and multicultural community like WFP, will continuously expose you to new ideas and perspectives.
How we deliver our mission in a deep respect for personal and cultural differences and close collaboration between every member of our global team, will certainly enrich your experience and knowledge on so many levels.
**UNLIMITED POSSIBILITIES**:
- Unlock possibilities you never thought you'd find._
WFP goes anywhere it is needed and does whatever it takes to get the job done.
**LIFE-CHANGING EXPERIENCE**:
- Reach beyond yourself and discover your true potential._
WFP offers the kind of life-changing experiences you’re unlikely to find in many other organizations.
**Join us to make a difference**
**Watch this video to know more about us!**
**JOB PURPOSE**:
WFP Technology Division (TEC) is the digital business engine of the World Food Programme, providing the business with multi-pronged and resilient technical capabilities able to respond with the agility required in humanitarian operations. Technology and connectivity are rapidly reaching some of the most vulnerable people and places affected by crisis, but they are also increasingly expanding to the services responding to those same crises. As one of the main humanitarian actors, WFP has the opportunity and the obligation to leverage data and technology to better know and serve those in need by digitally transforming the way it works.
The job holder will be based and working for WFP Regional Bureau for Middle East, Norther Africa and Eastern Europe (RBC) which is located in Cairo. RBC provides strategic direction, technical guidance, resource mobilization and management support to WFP operations and activities in different countries in the region.
The Purpose of this job is to support the delivery of professional, client-focused data services, The job holder will be part of Data Service Team, within RBC TEC Unit, contributing in the delivery and implementation of data integration, analysis and visualization projects across field operations within RBC region.
**KEY ACCOUNTABILITIES (not all-inclusive)**:
**Responsibilities**:
- Responds to requests for exploration, identification, and acquisition of data sources to determine their suitability for use in decision making and advancing the goals of the organization. Leads other team members to prepare input to address requests.
- Provides client training and develops products, tools and processes to extend the capabilities of WFP Country offices.
- Prepares customized visualization and presentation products to reveal the findings of analysis for clients utilizing WFP standard tools such as Tableau.
- Build and strengthen the capacity of data visualization in RBC by organizing and facilitating trainings.
- Ensure adherence to WFP policies regarding data, including data privacy, security, management, and code documentation.
- Participate in field missions as required.
- Performs other duties as assigned.
**Work implies frequent interaction with the following**:
- Staff at various levels throughout the Organization.
- Specialized agencies and national governments.
-
This advertiser has chosen not to accept applicants from your region.
1
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.
2
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.
3
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.
4
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.
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