86 Spatial Data jobs in Egypt

Company Description

FirstFix.KSA is a local market dealer known for delivering world-class projects through integrated design and engineering solutions. Specializing in mechanical, electrical, plumbing (MEP), and civil infrastructure, we combine innovation and passion to provide end-to-end construction disciplines. FirstFix.KSA ensures the delivery of high-quality projects that meet global standards.

Role Description

This is a full-time remote role for a Geographic Information Systems (GIS) Engineer. The GIS Engineer will be responsible for working with GIS applications, analyzing spatial data, creating and maintaining maps, and managing geographic information systems and related databases. Tasks include data collection, analysis, and visualization to support various projects and decision-making processes.

Qualifications

• Proficiency in Geographic Information Systems (GIS) and GIS Applications
• Strong Analytical Skills for data analysis and problem-solving
• Experience with creating and maintaining Maps
• Competence in managing and working with GIS Databases
• Excellent written and verbal communication skills
• Ability to work independently and remotely while collaborating with a team
• A degree in Engineering or related field.
• Civil 3D , ArcGIS , ARCMAP.

Responsibilities

• Understand the day-to-day issues that our business faces, which can be better understood with data
• Compile and analyze data related to business' issues
• Develop clear visualizations to convey complicated data in a straightforward fashion

Qualifications

• Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience
• 1 - 2 years' Data Analysis experience
• Proficient in SQL

About the Role

We are seeking a
TMCB Data Analyst
to turn complex datasets into actionable insights that drive business decisions. In this role, you will collect, clean, process, and analyze data, applying statistical techniques, data visualization, and business intelligence tools to uncover trends and support strategic initiatives.

The ideal candidate is highly analytical, detail-oriented, and thrives in a dynamic environment—bridging technical expertise with business needs while effectively communicating insights to stakeholders.

Key Responsibilities

Data Analysis & Reporting

• Extract, clean, validate, and transform data from multiple sources
• Ensure accuracy and integrity through validation techniques
• Generate KPIs, dashboards, and performance insights for business teams
• Translate complex data into clear, actionable insights

Data Quality, Documentation & Visualization

• Implement validation checks and resolve data quality issues
• Document methodologies, processes, and data sources
• Build and maintain interactive dashboards in
  Power BI
• Identify automation opportunities to streamline workflows
• Support data governance and best practices

Cross-Functional Collaboration

• Partner with teams to define reporting requirements
• Present insights and recommendations to leadership

Qualifications & Experience

Bachelor's degree in Data Science, Statistics, Economics, Computer Science, or related field (Master's preferred)

3–6 years of experience in data analysis (business, finance, or analytics roles preferred)

Strong expertise in
Power BI
, Power Query, Power Automate, and advanced Excel

Proficiency in
SQL
and strong data management skills

Experience with talent management learning systems is a plus

Skills & Attributes

• Strong statistical knowledge and analytical mindset
• Ability to communicate findings clearly to non-technical audiences
• Detail-oriented with a focus on accuracy
• Problem-solving and critical thinking skills
• Adaptable, with the ability to manage shifting priorities

Interested?
Apply now and be part of a team where your insights directly shape strategic decisions. Please refrain from reaching the recruiter directly, please apply and if successful, you will be contacted.

We are looking for a detail-oriented and analytical
Data Analyst
to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing data to provide actionable insights that support decision-making across the business. This role requires strong analytical skills, attention to detail, and the ability to communicate complex information in a clear and concise way.

Responsibilities

• Collect, clean, and analyze large datasets from multiple sources.
• Develop and maintain dashboards, reports, and visualizations to monitor performance and KPIs.
• Translate business requirements into data-driven solutions and insights.
• Perform statistical analysis to identify trends, patterns, and correlations.
• Work closely with cross-functional teams (Marketing, Finance, Operations, etc.) to support strategic initiatives.
• Ensure accuracy, consistency, and security of data across platforms.
• Provide recommendations to improve processes, efficiency, and business performance.

Qualifications

• Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience
• 1 - 3 years experience with proven experience as a Data Analyst or in a similar analytical role.
• Strong knowledge of SQL, Excel, and data visualization tools (Power BI, Tableau, or similar).
• Familiarity with statistical analysis and data modeling techniques.
• Excellent problem-solving skills with attention to detail.
• Strong communication skills and ability to present insights to non-technical stakeholders.
• Knowledge of Python or R is a plus.

Company Overview

Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.

Job Summary

We are seeking a passionate and talented Data Analyst to join our dynamic team.

The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry.

Job Responsibilities

• Conduct data-driven analysis on feasibility, market trends, regulatory pathways, and product forecasts.
• Develop dashboards, reports, and visual insights using Power BI/Excel.
• Collaborate with cross-functional teams (R&D, Regulatory, Marketing, Supply Chain).
• Maintain data repositories and ensure accuracy, validation, and documentation.
• Prepare data summaries and presentations to support decision-making.

• Bachelor's degree in Pharmacy, Data Science, Analytics, Biotechnology, or related field.
• 1–2 years of experience (or relevant internships) in data analytics.
• Proficient in Excel, Power BI, with basic SQL/Python knowledge.
• Strong analytical, organizational, and communication skills in Arabic & English.
• Ability to manage multiple priorities; pharma/NPD knowledge is a plus.

JOB TITLE: Data Analyst

SALARY: 750 USD per month + Bonus

HOURS: Full Time – 40 hours per week 8:00am to 5:00pm (1 hour break) – UK Time

LOCATION: Egypt

Dish'd – delivering restaurant quality virtual brands

We are an exciting start up and the UK's fastest growing franchisor of virtual brands. We partner with Halal food operators to use their kitchen capacity to increase their sales and profitability by selling our brands on delivery platforms within their area.

The Role

As a Data Lead
,
you will own the end-to-end reporting and analytics function — from performance dashboards to market forecasting — ensuring data underpins every commercial decision. Acting as the central point of contact for internal teams (Operations, Marketing, Finance) and external stakeholders (vendors, tech partners, consultants), you will oversee the integration of platforms, maintain data accuracy, and deliver high-impact insights that guide strategy and execution.

This role is both strategic and hands-on, ideal for someone who thrives at the intersection of analytics, systems integration, and business leadership. You will shape the company's data strategy as it scales, developing advanced models, driving project delivery, and leading innovation in data systems and business intelligence. In addition, you will mentor and grow data talent, embedding best practices and elevating the organisation's overall analytics capability.

Key Responsibilities

Reporting, Insights & Communication

• Build and maintain clear, accurate Power BI dashboards for financial, performance, and marketing insights.
• Prepare monthly Profit & Loss (P&L) reports for franchise partners, ensuring accuracy and consistency.
• Provide data-driven insights and reporting to the Operations and Marketing teams to support decision-making.
• Support menu engineering and optimisation by analysing and reporting on A/B menu tests.
• Respond to ad hoc business queries with high-quality data analysis and narrative summaries.

Strategic Planning & Forecasting

• Contribute to the development of sales forecasting tools and models to support new site openings and brand placement.
• Use data to identify underserved markets, market gaps, and expansion opportunities.
• Maintain a cost database, and support cost control, pricing, and margin initiatives.
• Support the development of models related to customer lifetime value, franchise performance, and territory saturation.

·   Assist in building predictive analytics models for pricing, promotions, and product launches.

Data Management & Platform Integration

• Ensure data integrity across all systems and reporting platforms through regular audits and validation processes.
• Collaborate with tech partners to connect external tools (e.g., Hubspot, Apicbase, Deliverect, aggregator APIs) into central reporting structures.
• Follow best practices in data governance and security, ensuring sensitive data is managed responsibly.
• Evaluate and deploy AI-powered tools to automate workflows and elevate reporting and operational capabilities.

·   Assist in monitoring data quality and reliability across platforms.

Advanced Analytics & Experimentation

• Contribute to models for churn prediction, demand forecasting, and inventory optimisation.
• Support the integration of AI/ML tools for anomaly detection in sales or cost data.

·   Assist in the design and execution of A/B and multivariate tests to support business experimentation.

Collaboration & Communication

• Work closely with teams across the business, communicating insights to both technical and non-technical colleagues.
• Support external stakeholder relationships (e.g., delivery platforms, consultants) with accurate data and reporting.
• Provide data inputs to senior leadership to inform commercial strategy and reporting.
• Participate in projects that improve analytics, reporting tools, and data processes.

·   Review data and reporting requirements with stakeholders to keep dashboards and models up to date.

Professional Development & Future Potential

• Build expertise in data analytics tools and methods, with opportunities to grow into more advanced modelling and forecasting.
• Gain exposure to strategic projects, commercial reporting, and cross-departmental planning.

·   Contribute to a culture of continuous improvement in analytics and reporting.

Reporting Line Reports to: Data Analyst Lead Collaborates with: Operations, Sales, Marketing, Site Managers, Finance, Tech Vendors

Job Description:

• Utilizing automated tools to gather data from various sources, ensuring accuracy
• Removing corrupted data and resolving coding errors.
• Employing statistical tools to identify patterns and trends within complex datasets, aiding in diagnosis and predictive analytics.
• Developing interactive dashboards and comprehensive reports using tools like Power BI and other business intelligence tools to provide stakeholders with real-time insights into
• Working closely with programmers, engineers, and management to identify opportunities for process enhancements and propose system modifications. *
• Implementing data-driven decision support systems to facilitate performance monitoring and management

Job Requirements

• Minimum 
  2 years
   in a data analytics role, preferably in healthcare or a related field.
• Strong proficiency in 
  Power BI
   and 
  Excel
   for data visualization and dashboard creation.
• Hands-on experience with 
  SQL
   for data extraction, transformation, and management.
• expertise in M language for Power Query
   to the required skills.
• Fluent English
   (spoken & written)

Preferred Qualifications:

• Python
   experience for data automation, machine learning, or predictive analytics.
• Understanding of 
  healthcare data structures medical analytics
  .
• modeling, AI tools, or automation techniques
   is a plus.
• Cloud & Data Warehousing:
   Experience with 
  Azure, AWS, or Google Cloud
   for data storage and processing.

Key Responsibilities

• Dashboard Development
• Design, develop, and maintain interactive dashboards and visualizations using Power BI to support strategic and operational decisions.
• Data Analytics & Modeling
• Analyze large datasets to uncover trends, patterns, and insights
• Develop and optimize data models using dimensional modeling techniques to support analytics-driven decision-making.
• Digital Transformation
• Collaborate with business stakeholders to identify and implement data-driven solutions that improve efficiency and performance.
• Project Management
• Support the end-to-end data project lifecycle including requirements gathering, testing, deployment, and ongoing improvements.

Qualifications& Requirements

• Bachelor's degree in Statistics, Computer Science, Data Science, or a related field.
• Strong proficiency in Power BI and Excel.
• Solid knowledge of SQL and dimensional data modeling.
• Experience with Python for analytics, automation, and data manipulation.
• Strong foundation in statistical analysis, forecasting, and predictive modeling.
• Excellent analytical thinking, problem-solving, and attention to detail.
• Strong communication skills with the ability to present data findings clearly to both technical and non-technical stakeholders.

Nice to Have

• Hands-on experience with AI/ML-driven analytics or advanced data science projects.
• Exposure to cloud data platforms (Azure, AWS, GCP) or big data tools.

Summary:

• Responsible for collecting, analyzing, and interpreting data to support business decision-making. They will work closely with stakeholders to understand their data needs, extract and clean data from various sources, and generate insightful reports and visualizations.

Duties & Responsibilities

• Analyze existing databases and assist with the development and maintenance of logical and physical data models
• Design and manage appropriate metadata repositories for greater understanding of data assets
• Gather and clean data from multiple sources, ensuring data quality and integrity
• Perform basic data analysis and statistical modeling to identify trends and patterns
• Design, develop, and maintain Power BI dashboards, reports, and visualizations to effectively communicate insights
• Perform data extraction, transformation, and loading (ETL) processes.
• Collaborate with cross-functional teams to understand business requirements
• Interpret business requirements to formulate the slice of the data set to be explored
• Collaborate to define data cleansing rules and quality checks within the data models
• Troubleshoot data-related issues and maintain the Power BI infrastructure to ensure it is up-to-date and running smoothly
• Troubleshoot Reporting Services report issues
• Provide clear insights that help define strategy, and facilitate speed and accuracy of decision-making
• Train end-users on how to use the dashboards and reports effectively.
• Participate in data-driven projects and initiatives
• Continuously learn and stay up-to-date with the latest data analysis tools and techniques.

Knowledge

• Bachelor's degree in Economics, Computer Science, or any relevant field.
• 1: 3 years of previous work-related experience in data analysis.
• ITI Business Intelligence Track is a plus
• Basic understanding of data modeling and architecture.
• Basic understanding of statistical methods and data visualization principles
• Proficiency in Proficiency in data manipulation and analysis tools (e.g., SQL, Excel, Power BI, Tableau)
• Programming languages such as R & Python are a plus.
• Basic understanding of data warehousing, data lakes, and data marts concepts and ETL processes
• Basic Knowledge of SSIS.
• Preferred knowledge in Crystal reports.
• Strong analytical skills with the ability to collect, organize, and analyze significant amounts of information with attention to detail and accuracy.

Skills

• Strong information technology professional.
• Ability to listen, interpret user needs, and apply knowledge to direct solutions.
• Great organizational and time management skills.
• Excellent analytical and problem-solving skills.
• Self-Motivated.