13 Data Collection jobs in Egypt

Project Context and Scope

Under the overall supervision of the Programme Manager and the direct supervision of the Monitoring and Evaluation Assistant, the Data Analyst will be tasked with collecting and analyzing data pertaining to the Protection division's projects' activities. This will involve conducting various surveys, both in person and via phone calls.

Organizational Department / Unit to which the Consultant is contributing

Protection Division

Responsibilities: Tasks to be performed under this contract

Conduct survey via phone or in person, according to the operational plan.

Assist in facilitating focus group discussions.

Ensure the accuracy and quality of collected data.

Report on a daily basis on the activities conducted and the realities/issues encountered and make relevant recommendations.

Assist in providing analysis for the data collected.

Draft narrative report about the data collected.

Advise and provide recommendations to the questionnaires and modalities of the data collection on the realities of the field work (where applicable).

Adhere to IOM's Data Protection Principles, safeguarding the confidentiality of all collected data.

- Perform other duties as they might be assigned.

Qualifications: Education and Experience

A bachelor's degree in law, business administration, Social Science or other relevant field with one year experience.

Skills

xxx Add in details xxx

IOM's official languages are English, French and Spanish.

Proficiency of language(s) required will be specifically evaluated during the selection process, which may include written and/or oral assessments.

Travel required

yes

Required Competencies

IOM's competency framework can be found at this link . Competencies will be assessed during the selection process.

Values - all IOM staff members must abide by and demonstrate these three values:

Inclusion and respect for diversity: Respects and promotes individual and cultural differences. Encourages diversity and inclusion.

Integrity and transparency: Maintains high ethical standards and acts in a manner consistent with organizational principles/rules and standards of conduct.

Professionalism: Demonstrates ability to work in a composed, competent and committed manner and exercises careful judgment in meeting day-to-day challenges.

Courage: Demonstrates willingness to take a stand on issues of importance.

Empathy: Shows compassion for others, makes people feel safe, respected and fairly treated.

Core Competencies – behavioural indicators

Teamwork: Develops and promotes effective collaboration within and across units to achieve shared goals and optimize results.

Delivering results: Produces and delivers quality results in a service-oriented and timely manner. Is action oriented and committed to achieving agreed outcomes.

Managing and sharing knowledge: Continuously seeks to learn, share knowledge and innovate.

Accountability: Takes ownership for achieving the Organization's priorities and assumes responsibility for own actions and delegated work.

Communication: Encourages and contributes to clear and open communication. Explains complex matters in an informative, inspiring and motivational way.

Notes

Any offer made to the candidate in relation to this vacancy notice is subject to funding confirmation.

Appointment will be subject to certification that the candidate is medically fit for appointment, verification of residency, visa, and authorizations by the concerned Government, where applicable.

IOM covers Consultants against occupational accidents and illnesses under the Compensation Plan (CP), free of charge, for the duration of the consultancy. IOM does not provide evacuation or medical insurance for reasons related to non-occupational accidents and illnesses. Consultants are responsible for their own medical insurance for non-occupational accident or illness and will be required to provide written proof of such coverage before commencing work.

IOM has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and IOM, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination based on gender, nationality, age, race, sexual orientation, religious or ethnic background or disabilities.

IOM does not charge a fee at any stage of its recruitment process (application, interview, processing, training or other fee). IOM does not request any information related to bank accounts.

IOM only accepts duly completed applications submitted through the IOM online recruitment system. The online tool also allows candidates to track the status of their application.

• Could you please confirm:

We are seeking native Lao speakers to participate in a speech data collection project.

Project Details:

• Record & transcribe ~1 hour of conversations (mock, on daily topics).

• Two speakers are needed, both will be paid.

• If you don't have a partner, we can assign one.

• We may also need Lao translators for review/translation tasks.

This project is ideal for those who are fluent in Lao and have good listening and writing skills.

Deliverables

• 1) The Lao dialect(s) you speak (Vientiane, Northern, Southern, Central)?
• 2) Can you bring a partner? (Yes/No/Maybe)
• 3) Your rate per hour of recording (USD)?
• 4) If you have translation experience, your rate per word (USD)?
• Looking forward to your reply.

Job Type: Contract

Contract length: 1 month

Company Description

The Institute of Management Professionals (IMP) was established in 2014 as an independent professional institute. It partners with consultation companies in various fields to deliver comprehensive management and business training. IMP is dedicated to advancing professional development through a wide range of training programs designed to meet industry needs.

Role Description

This is a full-time hybrid role for a Data Analysis Trainer at IMP. The role is based in Giza, with some flexibility for working from home. The Data Analysis Trainer will be responsible for delivering training on data analytics and statistics, developing training materials, conducting workshops, and providing hands-on guidance to participants. The trainer will also be responsible for creating data modeling exercises and ensuring effective communication of complex analytical concepts.

Qualifications

• Strong Analytical Skills and proficiency in Data Analytics
• Knowledge of Statistics and Data Modeling techniques
• Excellent Communication skills
• Experience in creating and delivering training materials and workshops
• Ability to simplify and communicate complex analytical concepts
• Familiarity with relevant analytics tools and software
• Bachelor's degree in Data Science, Statistics, or related field

Company Description

Staffinity Outsourcing is a next-generation recruitment and talent empowerment company that combines smart technology with deep human insight to create precise and personalized career journeys. We design tailored pathways to help individuals unlock their full potential, find their ideal role, and grow sustainably in an ever-changing world. Powered by innovation and driven by a passion for excellence, Staffinity is the launchpad for talents who aspire to build unique futures. Our mission is to empower exceptional talents to discover and own their career journeys with faster and smarter hiring experiences.

Role Description

This is a full-time on-site role for a Data Analysis Instructor - 1, located in Cairo, Egypt. The Data Analysis Instructor - 1 will be responsible for teaching data analysis concepts to students, developing course materials, and providing hands-on training in data analytics tools and techniques. The instructor will also be responsible for creating a collaborative learning environment, evaluating student performance, and staying up-to-date with the latest industry trends and tools in data analysis.

Job Qualifications

• Strong Analytical Skills and proficiency in Data Analytics
• Experience in Statistics and Data Modeling
• Excellent Communication skills
• Ability to create a conducive learning environment and engage with students effectively
• Aptitude for teaching and mentoring
• Strong organizational skills and attention to detail
• Experience with data analytics tools such as Python, R, or SQL is preferred
• Previous teaching experience or instructional design is a plus
• Bachelor's degree in data science, Statistics, Computer Science, or a related field

If you're Interested In & qualified for the Above Criteria, Please Send Your Updated CV, & We Will Get in Touch with You As Soon As Possible."

Best Of Luck

Talent Acquisition Team

A leading Engineering Training Company is seeking Data science & AI instructor

to join our team.

As a Data Science Instructor, you'll play a pivotal role in our trainees' development.

Responsibilities:

• Develop and refine engaging session materials that resonate with diverse learning styles.

• Curate and prepare relevant datasets for practical exercises and impactful projects.

• Deliver clear, concise, and compelling explanations of complex technical concepts.

• Provide timely and insightful support to trainees through various communication channels.

• Evaluate progress and offer constructive mentorship, guiding trainees through their learning journey.

• Stay at the forefront of industry trends, continuously updating your knowledge of new technologies and tools.

Skills for Success:

Qualifications and requirements

-5 years of experience in, Data Science and related fields

-Educational background in relevant fields such as Engineering, Computer Science, Statistics, or Business.

-Communication Skills Articulate complex ideas clearly and effectively.

-Outstanding Presentation Skills

-Command attention and inspire learning.

-High Commitment Level Dedicated to trainee success and program excellence.

Strong Leadership Skills: -Guide and motivate aspiring professionals.

Technical Skills:

• Python Programming

• Data Analysis

• Deep Learning

• Machine Learning with Python

How to Apply:

If you're passionate about technology and eager to contribute to an innovative engineering training company, please send your CV to:

-

Company Description

AMIT, which stands for "Association of Management and Information Technology," is a leading company specializing in training and consulting. As a service provider, AMIT places great importance on delivering high-quality service, recognizing that the company's success is directly tied to service excellence. The company is at the forefront of new training methodologies, continuously reviewing market trends and engaging with clients to forecast and identify growth areas in training. AMIT constantly strives to stay contemporary and innovative in its training offerings.

Role Description

This is a full-time on-site role for a Data Analysis Instructor located in Qesm El Maadi. The Data Analysis Instructor will be responsible for teaching data analytics and statistics courses, developing course materials, assessing student performance, and providing feedback. The instructor will also mentor students, assist with curriculum development, and stay up-to-date with industry trends. The role requires excellent communication skills to effectively convey complex information to students.

Key Responsibilities:

• Deliver live and engaging sessions
• Break down complex concepts into easy-to-understand lessons
• Guide learners through hands-on projects, assignments, and exams
• Provide mentorship and feedback
• Collaborate with the academic team to improve course material

Support students during their capstone and real-world projects

Job Qualifications:

• Minimum of 2 years of hands-on experience in Data Analysis or Data Science
• Proven ability to work with:
• Microsoft Excel (Advanced level – PivotTables, Charts, Functions)
• Python (with Pandas, Plotly, Dash)
• SQL (PostgreSQL, MySQL, or similar)
• Power BI (ETL, DAX, Data Modeling & Dashboards)
• Tableau (Data Visualization & Storytelling)
• Strong communication and presentation skills
• Teaching or training experience is a strong plus
• Ability to guide learners through practical labs, workshops, and final projects
• Passion for education and helping others succeed in the field of data

If you're Interested in & Qualified for the Above Criteria, Please Send Your Updated Resume, & The Talent Acquisition Team Will Contact You As Soon As Possible

Best Of Luck

Talent Acquisition Team

Company Description

AMIT, which stands for "Association of Management and Information Technology," is a leading company specializing in training and consulting. As a service provider, AMIT places great importance on delivering high-quality service, recognizing that the company's success is directly tied to service excellence. The company is at the forefront of new training methodologies, continuously reviewing market trends and engaging with clients to forecast and identify growth areas in training. AMIT constantly strives to stay contemporary and innovative in its training offerings.

Role Description

This is a full-time on-site role for a Data Analysis Instructor located in Qesm El Maadi. The Data Analysis Instructor will be responsible for teaching data analytics and statistics courses, developing course materials, assessing student performance, and providing feedback. The instructor will also mentor students, assist with curriculum development, and stay up-to-date with industry trends. The role requires excellent communication skills to effectively convey complex information to students.

Key Responsibilities:

• Deliver live and engaging sessions
• Break down complex concepts into easy-to-understand lessons
• Guide learners through hands-on projects, assignments, and exams
• Provide mentorship and feedback
• Collaborate with the academic team to improve course material

Support students during their capstone and real-world projects

Job Qualifications:

• Minimum of 2 years of hands-on experience in Data Analysis or Data Science
• Proven ability to work with:
• Microsoft Excel (Advanced level – PivotTables, Charts, Functions)
• Python (with Pandas, Plotly, Dash)
• SQL (PostgreSQL, MySQL, or similar)
• Power BI (ETL, DAX, Data Modeling & Dashboards)
• Tableau (Data Visualization & Storytelling)
• Strong communication and presentation skills
• Teaching or training experience is a strong plus
• Ability to guide learners through practical labs, workshops, and final projects
• Passion for education and helping others succeed in the field of data

If you're Interested in & Qualified for the Above Criteria, Please Send Your Updated Resume, & The Talent Acquisition Team Will Contact You As Soon As Possible

Best Of Luck

Talent Acquisition Team

Job Description :

Data Analysis Specialist

(ERP & Enterprise Data and Process Management)

Department:
IT

Reports to:
Head of
Enterprise Data and Process Management

Location:
Fort-Cap(ital Group – Head Office – Maadi, Cairo

Role Purpose

The Data Analysis Specialist is responsible for analyzing ERP data, managing enterprise data governance, and standardizing business processes within FCG manufacturing environment. The role ensures accurate reporting, actionable insights, and optimized ERP workflows to support decision-making across manufacturing, supply chain, procurement, finance, and sales.

Top Responsibilities

·   ERP Data Management – Maintain data accuracy, integrity, and consistency across ERP modules.

·   Enterprise Data Governance – Implement master data standards (materials, BOMs, customers, vendors) and ensure compliance.

·   Process Management – Map, document, and optimize business processes aligned with ERP best practices.

·   Reporting & Insights – Develop ERP dashboards and KPIs to monitor performance in manufacturing, supply chain, finance, and sales.

·   Cross-Functional Support – Partner with Finance, Manufacturing, Procurement, and IT teams to ensure effective ERP usage and reporting.

Key Deliverables

·   Master Data Management framework (customers, suppliers, materials, BOMs).

·   Enterprise Data Governance policies and compliance reports.

·   Standardized business process maps and documentation.

·   Automated ERP-based dashboards and KPI reporting suite.

·   Regular data quality audits and improvement recommendations.

Must-Have Qualifications

·   Bachelor's in Data Science, Computer Science, Industrial Engineering, Supply Chain, or related.

·   1–2 years of ERP data analysis experience (Oracle Fusion, SAP, MS Dynamics, or similar).

·   Strong skills in SQL, Excel, BI tools (Power BI, Tableau, OTBI).

·   Knowledge of Master Data Management, Process Mapping, and ERP business flows.

·   Strong communication and stakeholder management skills.

We're Hiring: Data Analysis Diploma Instructor

ReCode Academy is looking for an
experienced, passionate, and hands-on Data Analysis instructor
to join our team and teach our comprehensive
Data Analysis Diploma
.

What You'll Do:

• Deliver engaging sessions on
  Math & Statistics, Excel, SQL, Python, EDA, and Power BI
• Guide students through real-world datasets and projects
• Mentor beginners to become job-ready data analysts
• Prepare course materials, exercises, and mini-projects

Required Skills & Experience:

• Strong understanding of
  Descriptive & Inferential Statistics, Probability, Regression, Hypothesis Testing
• Expertise in
  Excel
  : Formulas, Functions, PivotTables, Power Query, Power Pivot, Dashboards
• Proficient in
  SQL
  : Database design, ERD, DDL/DML, Joins, Subqueries, Window Functions, CTEs
• Strong
  Python
  skills: Basics, NumPy, Pandas, Data Visualization (Matplotlib, Seaborn), EDA
• Knowledge of
  Power BI
  : Desktop & Service, Visualizations, DAX, Power Query, Dashboard building
• Ability to
  explain complex topics clearly
  to beginners
• Experience with
  hands-on projects and real datasets

Preferred:

• Prior experience teaching or mentoring data analysis courses
• Strong communication and presentation skills
• Passion for
  helping students succeed in data analysis careers

Why Join Us:

• Be part of a growing academy shaping the next generation of data analysts
• Flexible, supportive, and collaborative environment
• Opportunity to create impact and guide students from zero to job-ready

Apply now
by sending your CV and a brief introduction highlighting your experience to

or you can apply now through

• Let's build
  data analysts of tomorrow
  together