53 Analytics Intern jobs in Egypt

Design, build, and maintain trusted, scalable, and well-documented data models and pipelines using modern analytics engineering tools. This role ensures that analysts and business leaders can extract insights efficiently and reliably from clean data layers.

Responsibilities

• Data Modeling & Transformation
• Develop and maintain dbt models with standardized naming, structure, and robust documentation.
• Create analytics-ready data marts by transforming raw data into clean, structured datasets.
• Write modular, well-tested, and efficient SQL code to power modeling layers.
• Data Pipeline Development
• Build reliable and scalable data pipelines for ingestion, transformation, and validation.
• Monitor and troubleshoot data pipeline performance, latency, and failures.
• Cross-functional Collaboration
• Work closely with analysts and business stakeholders to translate data requirements into technical solutions.
• Ensure data logic aligns with business definitions and operational context.
• Data Quality & Documentation
• Implement data validation checks and tests to ensure accuracy and trustworthiness.
• Maintain clear documentation of data models, transformation logic, and data lineage.
• Use Git for version control and collaboration best practices.
• Infrastructure Support
• Support data infrastructure maintenance in cloud environments (BigQuery, Redshift, Snowflake).
• Adapt to evolving infrastructure, tools, and processes in a fast-paced environment.

Requirements

• Bachelor's degree in Engineering, Computer Science, or a related technical field.
• 1–2 years of experience in analytics engineering, data engineering, or equivalent data-focused roles.
• Proficient in writing complex SQL queries.
• Experience with dbt or similar data modeling tools.
• Familiarity with Git (branching, commits, pull requests).
• Exposure to cloud data warehouses (e.g., BigQuery, Redshift, Snowflake).
• Understanding of data validation, quality testing, and documentation practices.
• Familiarity with cloud platforms (e.g., GCP, AWS) is a plus.

About us

Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We've evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence: industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona), 2) Our proprietary AI orchestrator, 3) Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.

Ready to kick start your career with us?

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?

• Propose solutions and strategies to tackle business challenges.
• Contribute to the design of the technical solution chosen to collect, analyze data, and display the results obtained.
• Manage a project from A to Z
• Analyze large amounts of information to find patterns and solutions.
• Data mining or extracting usable data from valuable data sources.
• Carry out preprocessing of structured and unstructured data
• Enhance data collection procedures to include all relevant information for developing analytic systems.
• Develop prediction systems and machine learning algorithms
• Present results in a clear manner
• Processing, cleansing, and validating the integrity of data to be used for analysis.
• Assist the IT teams in all phases of the production, maintenance, and update of the models developed.
• Provide internal training to new joiners when needed.
• Support the Team Lead/Manager regarding client relationships, business development, and internal projects.

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
• 4 to 8 years of technical experience in advanced analytics and data science
• Full proficiency in English + 1 Additional language (French, German, Arabic, Spanish, Italian, Portuguese.)

TECHNICAL SKILLS

• Proven hands-on experience in Python programming language coupled with additional languages experience if possible (e.g. SAS, R, Javascript)
• Strong skills in Statistics & Machine Learning such as regressions, Clustering techniques, Time Series techniques, Bagging & boosting trees, Ensemble models, Neural networks
• Exposure to BI/Data visualization platforms such as Power BI, Tableau, Looker, QlikView…
• Proven hands-on experience in Big Data environments and languages such as Hadoop, Hortonworks, Cloudera, Spark, Scala, PySpark, etc. &Big Data querying tools, such as Pig, Hive, and Impala
• Proven hands-on experience in large data sets both structured and unstructured data: Snowflake, SQL and relational databases, data warehouse, data lake
• Exposure to NoSQL databases, such as HBase, Cassandra, MongoDB
• Proven hands-on experience in API integration using Python for extracting data from different sources
• Proven hands-on experience in container technologies – Docker, Kubernetes, etc.
• Proven hands-on experience in solutions development & deployment experience in Cloud ecosystems and its associated services AWS, Azure, Google Cloud, and IBM Cloud.
• Experience in building robust data pipelines using ETL techniques and frameworks, such as Flume
• Experience to work with large volumes of structured and unstructured data and leveraging it to build AI/ML model deployment & monitoring/enhancements for standalone solutions or through end-to-end automated data pipelines

INTERPERSONAL SKILLS

• Can step back, analyze problems, find solutions and the drive to implement these. Good management skills with a track record of coordinating workflow and assuring quality with a strong ability to multitask.
• Can work & collaborate with variety of stakeholders & clients throughout data project lifecycle
• Strong interpersonal skills and organizational skills, high motivation, an attention to detail, flexibility, and ability to cope under stress, a focus on identifying the solutions to problems.
• Strong 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

What is it like to work at Infomineo?

If you've spoken with someone who works at Infomineo, you've probably heard that our people are our most valuable asset. Our diversity, both in terms of professional experience and culture, is the company's greatest strength.By being a part of Infomineo, you'll have the opportunity to work alongside a friendly, smart, and international team that values intellectual vitality and creativity. You will learn the best practices and tools in your field of work, as well as how best to leverage AI for more efficiency to enable focusing on generating more impact to a client. You will grow your career and expertise across different regions and industries. As a member of the team, you'll be encouraged to contribute by applying your ideas while playing an instrumental role in the company's development and growth. Within this role, you'll support leading international institutions & companies with the data and information required to fuel key business decisions

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.

• Collect, analyze, and interpret HR data to provide actionable insights for workforce planning and decision-making.
• Develop and maintain HR dashboards and reports to track key metrics such as turnover, retention, and employee engagement.
• Collaborate with HR and business leaders to identify data-driven solutions for talent management and organizational development.
• Conduct predictive analytics to forecast workforce trends and support strategic HR initiatives.
• Ensure data integrity and accuracy across all HR information systems and analytics platforms.
• Present findings and recommendations to senior management in a clear and compelling manner.
• Support the implementation of HR technology solutions and process improvements.
• Monitor and report on diversity, equity, and inclusion metrics to support company goals.
• Assist in the design and evaluation of employee surveys and feedback mechanisms.
• Stay updated on best practices and emerging trends in HR analytics and data management.

• Bachelor s degree in Human Resources, Business Administration, Statistics, Data Science, or a related field.
• 3 to 6 years of experience in HR analytics, data analysis, or a related HR function.
• Proficiency in HR information systems (HRIS) and data visualization tools such as Power BI or Tableau.
• Strong analytical and problem-solving skills with the ability to interpret complex data sets.
• Excellent communication skills, with the ability to present data-driven insights to non-technical stakeholders.
• Experience with statistical analysis and predictive modeling techniques.
• Attention to detail and a commitment to data accuracy and integrity.
• Ability to manage multiple projects and meet deadlines in a fast-paced environment.
• Strong collaboration skills and the ability to work effectively with cross-functional teams.
• Knowledge of HR best practices and employment regulations.

Requisition ID:

45517

Job Location(s):

Graasten, DK / Vaasa, FI

Employment Type:

Full Time

Segment:

Danfoss Power Electronics and Drives Seg

Job Function:

Supply Chain and Operations

Work Location Type:

On-site

The Impact You'll Make

Are you ready to step into an important role in Drives Global Logistic and SIOP team, where your huge analytical tool box and skill set will make a difference by supporting fact based decision making. By applying your data engineering mindset within the areas of delivery performance, SIOP and inventory analytics, you will soon be a go-to-person, which both the broader global logistic team will benefit from as well as the global SIOP process.

Stakeholder management will be an important part of the job, both by including input from different stakeholders into the analytics, solutions and decisions, but also by proactive reaching out to stakeholders for input and feedback from factories, fulfillment team and global logistics team members

Our search focusses on locations in Denmark or Finland but we are open to any other Danfoss location as well.

What You'll Be Doing

• SME (subject matter expert) on the delivery performance out of Danfoss Drives globally, which includes
• Understanding the details of delivery performance KPI's
• Identifying elements impacting KPI's and aligning optimization approach with key stakeholders in the organization
• Availability and Reliability focus
• Representing Danfoss Drives into the cross segment forum in Danfoss leading the D2C (Delivery to Customer) work on the delivery performance measurements
• Managing data behind the standard lead time including facilitating monthly and bi-yearly reviews and updates to ensure all products delivered from factories have a standard lead time attached
• Taking lead in a having the product hierarchy overview up to update, so masterdata is available for planning (phase-in and phase out products, etc)
• Link delivery performance to demand planning and inventory management eg as an indicator to increase demand plan for specific product groups
• Support factories structurally in planning, visualizing and optimizing raw material and component inventories
• Ad hoc analytical tasks within global logistics and global SIOP

What We're Looking For

• Holistic business understanding across production, inventory and demand management
• Excel skills at a high level incl power queries
• Preferably SAP and BI/Business Intelligence + Anaplan experience
• Ability to drive E2E tactical Inventory Management and reduce complexity in the supply chain
• Ability to thrive in a matrix environment, fluent in English both written and oral and being a true team player are other critical elements of the role

What You'll Get from Us

• We promote from within and support your learning with mentoring, training, and access to global opportunities.

• You'll have flexibility, autonomy, and support to do your best work while maintaining a healthy work-life balance. Your well-being matters to us.

• We strive to create an inclusive work environment where people of all backgrounds are respected, and valued for who they are.

• You'll receive benefits like annual bonus, paid vacation, pension plans, personal insurance, and more. These vary by country and contract, but they're worth asking about—we think they're pretty great

In case of questions, please reach out to Paula Scharfenberg, Talent Acquisition Manager Drives, at

Ready to Make a Difference?

If this role excites you, we'd love to hear from you Apply now to start the conversation and learn more about where your career can go with us.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category.

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Danfoss engineers solutions that increase machine productivity, reduce emissions, lower energy consumption, and enable electrification.

Our solutions are used in such areas as refrigeration, air conditioning, heating, power conversion, motor control, industrial machinery, automotive, marine, and off- and on-highway equipment. We also provide solutions for renewable energy, such as solar and wind power, as well as district-energy infrastructure for cities.

Our innovative engineering dates back to 1933. Danfoss is family-owned, employing more than people, serving customers in more than 100 countries through a global footprint of 95 factories.

We are looking for a goal-oriented and technically brilliant Data Analyst to join our GTM Operations team. You will be the key link between our complex data systems and our Go-To-Market strategy, providing the insights that help our Sales, Marketing, and Leadership teams make smarter, faster decisions. If you have a passion for data visualization, a knack for modeling, and the business sense to know what matters, this is your role.

What You'll Do

• Be the Insight Engine: Proactively analyze our diverse data to uncover trends, correlations, and opportunities that others might miss. Tell the story behind the numbers to influence our GTM strategy.
• Build the Foundation: Design, build, and maintain clean, reliable, and performant dashboards and reports in Looker that become the single source of truth for the entire company.
• Power Our Growth: Help build and refine sophisticated marketing attribution and sales forecasting models to directly measure and improve the effectiveness of our revenue teams.
• Champion Data Integrity: Establish standardized definitions for key metrics (like "active users" and "enterprise acquisition") to ensure clarity and consistency across all teams.
• Drive Efficiency: Identify and fix slow queries and data pipeline bottlenecks, working to streamline how we access and use our data.
  Support Key Initiatives: Collaborate on building financial models for critical, high-impact projects like pricing strategy.

What We're Looking For

• A bachelor's degree in Data Analytics, Statistics, Business, or a related quantitative field.
• 3+ years of professional experience in a Data Analyst, BI Analyst, or similar role.
• You are a SQL expert: You can write complex, optimized queries in your sleep.
• You are a visualization pro: You have advanced experience with Looker (or similar BI tools like Tableau, Power BI) and know how to make data intuitive and actionable.
• You have foundational data warehousing knowledge: Hands-on experience with Redshift, BigQuery, or Snowflake, and familiarity with ETL tools like Fivetran.
• You're a business-minded technologist: You don't just report the data; you understand what it means for the business and can make strategic recommendations.
  You're a brilliant communicator: You can effectively partner with and present to stakeholders from technical teams to company executives.

Bonus Points If You Have:

• Experience in a B2B SaaS environment.
• A background in Marketing, Product, or Sales operations.
• Experience with Python or R for statistical analysis.

We're hiring a Digital Analytics & Tracking Supervisor (Full-Time, Cairo)

Join Memphis Tours to lead Google Analytics 4 (GA4), UTM strategy, event tracking, and performance reporting
across all digital channels.

Key focus:

• GA4 setup, events, funnels, cross-domain/device accuracy
• UTM framework design for Google Ads, Social, Influencers, Email, OTA, etc.
• Conversion tracking, attribution modeling, dashboards & insights
• Collaboration with marketing and development teams to ensure accurate measurement

What we're looking for:

• Proven GA4, GTM, and UTM expertise
• Strong knowledge of attribution models & analytics best practices
• Experience with Looker Studio, Power BI, or similar tools
• Travel/tourism background is a plus

What we offer:

• Competitive salary + performance bonus
• Lead analytics for global markets
• Career growth in an award-winning travel company

If you are interested,
send me your CV directly via LinkedIn or message me here.

We are looking for a Data Visualization Specialist for a remote position with expertise in Power BI to join the product development and marketing team. This role is ideal for someone who is eager to turn complex data into intuitive, compelling dashboards and insights that drive decision-making.

What You'll Do:

• Design, develop, and maintain interactive Power BI dashboards, reports, and data models.
• Collaborate closely with product development and research teams to understand requirements and bring data stories to life.
• Explore and implement new Power BI features, visualization techniques, and best practices to continuously improve visualization.
• Ensure data accuracy, consistency, and usability across different stakeholders.

What We're Looking For

• Proven experience with Power BI.
• Strong analytical skills with the ability to transform raw data into meaningful visuals.
• Curiosity and initiative to explore new tools, features, and innovative approaches in data visualization.
• Excellent problem-solving and communication skills.
• Proficiency in English & Arabic is a must

1. Prepare and test  huge and complex datasets required for the various analytical projects.
2. Participate in conceptualizing, building and maintaining the data architecture for multiple large-scale analytics projects, while evaluating design and operational cost-benefit trade-offs within systems.
3. Assist in the execution of architectural plans and implementation for future data analytics storage, reporting, and modelling solutions in order to support building high-end analytical products.
4. Work closely with data technical leads, application owners, end users and third-party contacts to design, implement and test analytical datasets required for the analytical projects.
5. Work closely with Technical, Business and the various analytics teams in order to solve technical problems and identify opportunities to enhance the analytics production process.
6. Inspect operational, data or model issues across the data analytics pipeline in order to ensure providing high quality data and information to be used in the analytics production process.
7. Assist in solving challenges in data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources in order to solve technical problems and smooth the analytics production process.
8. Develop analytical reports, dashboards and advanced visualizations to provide the business stakeholders with the results of the analytical models.
9. Assist in developing, automating and troubleshooting the deployment of analytics models and products in order to provide multiple analytics use cases across different business domains.
10. Assist in the administration support for the department for its various analytics tools in terms of administration, upgrades, etc.
11. Participate in the execution of the proof of concept (POC) for new technologies in analytics such as Hadoop, Informatica and Dataiku…etc.
    
    Policies, Processes and Procedures
12. Follow all relevant department policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner
    
    Day-to-day Operations
13. Follow the day-to-day operations related to own jobs in the department to ensure continuity of work
    
    Compliance
14. Comply with all relevant CBE regulations, banking laws, AML regulations and internal policies and code of conduct in order to maintain sound legal position and mitigate any potential risks

    Bachelor's degree of Information Systems, Computer Science or its equivalent.

   Analyst: 2 - 4 years' experience in BI development, data engineering, data architecture or related fields.

 Specialist: 0-2 years' experience in BI development, data engineering, data architecture or related fields

 Solid Knowledge of with PL-SQL and ETL techniques and frameworks is a must.

  Solid Knowledge of DWH and DataLake concepts is a must.

  Solid Knowledge of building and optimizing 'big data' data pipelines and architectures, as well as big data tools: Hadoop, Spark, Kafka, etc.

  Good Knowledge of Data and Information Architecture is a plus.

Skills

  Strong Analytical skills with a high degree of accuracy

  Strong Problem Solving and Data Manipulation Skills

  Ability to identify and describe the complex interplay between technologies and organizational structure.

  Demonstrated ability to 1) effectively work in an ambiguous environment, 2) effectively work in a cross-team environment and 3) succeed in a complex and dynamic work environment.4) Work independently, directly with the business partners

 ility to exercise good judgment and discretion, especially with regards to sensitive or confidential personnel and organizational matters

 Strong interpersonal and communication skills; ability to develop and maintain effective working relationships with persons at all levels in the organization

 gh energy and high endurance; ability to respond flexibly and positively in all circumstances; calm under pressure and tight deadlines

 Strong organizational skills; ability to work independently and to priorities a heavy workload of competing assignments

Who are we?

noon, the region's leading consumer commerce platform. On December 12th, 2017, Noon launched its consumer platform in Saudi Arabia and the UAE, expanding to Egypt in February 2019. The noon ecosystem of services now includes marketplaces for food delivery, quick-commerce, fintech, and fashion. Noon is a work in progress; we're six years in, but only 5% done. Noon's mission: every door, every day.

Qualifications & Requirements:

• Hands-on experience in SQL/BigQuery + any programming language, Python is preferred but not mandatory
• Excellent analytical skills and problem-solving capabilities
• Advanced Excel/Google Sheets knowledge
• Experience in the e-commerce industry is preferred but not mandatory

Key Responsibilities:

• Work within a cross-functional team that develops products as part of one of our businesses
• Design and build batch (and occasionally real-time) data pipelines and models for product, analytics, and reporting purposes
• Monitor data quality and integrity, designing and developing checks to ensure accuracy and consistency
• Conduct exploratory data analysis to identify trends, patterns, and opportunities for optimization
• Assist in developing dashboards and visualizations to expose data to users and stakeholders effectively
• Occasionally develop and optimize ML models to support product goals, as well as deploy and operate such models in production
• Occasionally support ad-hoc data requests and reporting for business stakeholders
• Core technologies: Python, SQL, Google Bigquery, Clickhouse

Who will excel?

'noon isn't for everyone. And that's okay.' This is one of our core operating principles.

We're looking for resourceful doers. Thinkers who are both creative and analytical. Problem solvers who are enthusiastic about delivering results. Our ideal candidate will be comfortable in a fast-paced, multi-tasked, high-energy and often ambiguous environment.

If the above values resonate with you, then noon might be the place for you.