6 Big Data Analytics jobs in Egypt

Data Science Internship

Synapse Analytics

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Job Description

As a Data Science Intern, you will work closely with our team of experienced data scientists to develop and implement data-driven solutions that drive business growth and innovation.

During your internship, you will have the opportunity to:

- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Select features, building and optimizing classifiers using machine learning techniques
- Mine and analyze data from client databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Processing, clean, and verifying the integrity of data used for analysis
- Perform ad-hoc analysis and presenting results in a clear manner
- They must have finished at least their 3rd year in college.
- They must have experience working with Python and/or R. Knowledge of object-oriented programming concepts is expected.
- They must have done at least some basic machine learning before (e.g. decision trees, support vector machines, random forests, etc.).
- **_ They must have worked with (relational) databases before and preferably have taken at least an introductory databases course._**:

- They must have done some kind of data analysis before and expect to do a lot of it in the internship (searching for patterns in data, producing aggregate statistics, etc.).
- Experience with numpy/pandas/matplotlib in Python or with dplyr/tidyr/ggplot in R is very preferred.
- They must have taken an introductory course in probability.

**BONUS**
- They have done some natural language processing or text mining before
- They are into competitive programming
- They have a github portfolio showing their experience with any/all of the above
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Data Science Consultant Internship

Synapse Analytics

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Job Description

Manage clients to improve their data competencies, analytical skills and business strategies
- Liaise between client teams and Synapse teams in communication, decision-making and project planning
- Translate client’s business needs into data science problems
- Perform analyses and computations that draw insights from collected data
- Document activities of the project team, such as schedules, meeting notes, agendas, statusreports, etc.
- Manage internal teams to ensure that projects are executed according to problem definition
- Analyze & quantify the impact of deployed models
- Microsoft Office Suite, Large Emphasis on Excel
- Problem Solving, Presentation & Critical Thinking
- SQL, Python or R (these are a bonus)
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Data Analytics Lead

Envision Employment Solutions

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Job Description

**Ready and hungry for a new adventure? You are definitely in the right place!
We at
**Envision Employment Solutions** are always on the look for top talents around the globe and matching them with our partners' hiring needs, to help them build and scale!
- Our partners offer awesome work environment, competitive salaries, full benefits, and many others perks.**Our Hiring Process**:
**2. **During the call we will go through your resume and discuss the opportunities we have for you in details. We would love to learn a little bit about you, about your work experience and your career's goal. We will also be able to answer any questions you might have.

**Please feel free to share our career site with any of your colleagues or anyone you know that might be looking for a job**:

- ___

**Envision Employment Solutions** is currently looking to hire a
**Head of Data Analytics,** for one of our well-known partners.

**Job Summary**:
Our partner is on the lookout for a
** Data Analytics Lead** who will be responsible for leading and managing the organization's data analytics function and overseeing a team of data analysts to deliver insights that drive business value. The role involves working closely with business stakeholders to understand their data needs and with data engineers to ensure the efficient and effective processing, analysis, and interpretation of data.

**Responsibilities**:

- Lead and manage a team of data analysts to deliver insights that drive business value.
- Set clear goals and objectives for the team and ensure they are aligned with the organization's goals and objectives.
- Provide mentorship and guidance to team members to develop their skills and achieve their career aspirations.
- Foster a culture of continuous improvement, innovation, and collaboration within the team.
- Work closely with business stakeholders to understand their data needs and requirements.
- Translate business requirements into data analytics objectives and deliverables.
- Communicate data insights to key stakeholders across the organization in a clear and concise manner.
- Develop and maintain effective relationships with stakeholders to ensure the organization is leveraging data analytics to drive value.
- Collaborate with data engineers to ensure the efficient and effective processing, analysis, and interpretation of data to meet business requirements.
- Develop and maintain effective data governance policies, procedures, and standards to ensure the accuracy, integrity, and security of data.
- Stay up to date with emerging trends, tools, and technologies in data analytics and make recommendations for continuous improvement of the organization's data
- Build and maintain relationships with external partners, vendors, and stakeholders to ensure the organization is leveraging the latest data analytics tools and technologies.
- Develop and implement data analytics strategies that align with the organization's goals and objectives.
- Identify opportunities to leverage data to drive strategic decision-making and operational improvements.
- Monitor and report on the performance of the data analytics function against key performance indicators (KPIs) and take corrective actions as necessary.
- Ensure the team is adhering to data analytics best practices and standards.

**Requirements**:

- Bachelor's degree in computer science, statistics, mathematics, or a related field; Master's degree preferred.
- 5+ years of experience in data analytics, with a minimum of 2 years in a leadership role.
- Strong knowledge of data modeling, statistical analysis, and data visualization techniques and tools.
- Excellent communication, collaboration, and stakeholder management skills.
- Strong problem-solving and decision-making skills.
- Experience working with cloud-based data storage and computing platforms such as AWS, Azure, or GCP

**Envision Employment Solutions is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Come join us!
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BI Data Analytics Sr.specialist

Vodafone

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Job Description

Role purpose: to work on all Customer value management and Segments promotions to develop personalized offers

Key accountabilities and decision ownership
- Design scalable & reliable solutions for Promotional offers.
- Manage day-by-day tasks in queue according to priorities set in sprint planning meetings.
- Work closely with different commercial teams to deliver personalized customer offers
- Ensure on-time high quality deliverables for CVM platforms and segments propositions
- Plan releases and provide proper support to released packages

Core competencies, knowledge and experience (max 5):

- Passionate about Quality. A love of writing a bugs-free code, tuning and analysis through a rigorous scientific approach.
- Agile - time spent working on closely-knit teams using Agile methodologies such as Scrum and Kanban
- Team Player. You enjoy collaborating with, learning from, and teaching others so we all can become better. You assume the good intent in others, and actively do your part to create a positive work environment.
- Empathy for customers - a desire to serve customers first. You love to help Vodafone’s customer to get them happy with your developed feature.

Key accountabilities and decision ownership
- Design scalable & reliable solutions for Promotional offers.
- Manage day-by-day tasks in queue according to priorities set in sprint planning meetings.
- Work closely with different commercial teams to deliver personalized customer offers
- Ensure on-time high quality deliverables for CVM platforms and segments propositions
- Plan releases and provide proper support to released packages

Core competencies, knowledge and experience (max 5):

- Passionate about Quality. A love of writing a bugs-free code, tuning and analysis through a rigorous scientific approach.
- Agile - time spent working on closely-knit teams using Agile methodologies such as Scrum and Kanban
- Team Player. You enjoy collaborating with, learning from, and teaching others so we all can become better. You assume the good intent in others, and actively do your part to create a positive work environment.
- Empathy for customers - a desire to serve customers first. You love to help Vodafone’s customer to get them happy with your developed feature.
- Must have technical / professional qualifications:

- Bachelor's degree in computer science, computer engineering.
- 3-5 year experience in DWH ETL and Data management area.
- Excellent knowledge in SQL development and tuning.
- Fair knowledge in telecom industry and data sources
- Fair knowledge in different programming and scripting languages.
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Data & Analytics Strategy Executive

Dentsu Aegis Network

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Job Description

The purpose of this role is data analysis/guided deliverable development in support of assessment/strategic deliverables.

Job Title:
Data & Analytics Strategy Executive

**Job Description**:
Key responsibilities:
Aggregates data, prepares and analyses as it relates to assessment and roadmap development and execution

Produces detailed analysis that facilitates internal team discussion and feeds client facing deliverables

Uses internal templates, tools and processes to deliver on day-to-day tasks

Executes and progresses project timeline.

Experience in Google Analytics 4 and Firebase Analytics implementation & maintenance

Hands-on experience of tag implementation & maintenance through tag management systems

Proficient at identifying, troubleshooting and resolving technical issues within the Google Analytics and Google Tag Manager products suite

Confident in client-facing communication

Has a solid understanding of data Layer implementation best practices

**Location**:
Cairo

Brand:
Merkle

Time Type:
Full time

Contract Type:
Permanent
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Lead, Customer Insight Data Analytics

Giza Orange Egypt

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Job Description

Conducting analysis for the CBU segments to support decision making

**about you**:
Education
- Graduate of numeric discipline: Economics, Statistics, Business, Finance, Commerce, or Computer Science.

Experience
- 0 to 3 years of experience in similar numeric field.

**skills**:

- Good Knowledge of Microsoft Office Package (Excel, Word, PowerPoint)
- Good presentation skills
- Good English communication skills, written and spoken
- Team worked and problem solver

**department**:
Consumer Business Unit
- Full account responsibility, conducting analysis for the Marketing segment
- Conduct in-depth analysis of marketing operations, ad-hoc as well as monthly activities
- Create monthly dashboard including the KPIs related to the segment performance and liaising with the Market Research team and Data Mining team to produce a full pack of high customer intelligence value necessary for decision making
- Organize monthly presentations of the Dashboard and presenting analysis outcome to Marketing Department stakeholders
- Communicate with Marketing segments in order to reach clear understanding of their needs and be able to deliver high quality analyses
- Communicate with the Data Warehouse (DWH), requesting and validating relevant data sets to ensure the validity and soundness of the data to be used in the analyses.

**contract**:Regular
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