81 Data Mining jobs in Egypt
Data Analytics
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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.
Data & Analytics Engineer
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Job Description
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.
Data & Analytics Engineer ()
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Join Us
At Vodafone, we're not just shaping the future of connectivity for our customers – we're shaping the future for everyone who joins our team. When you work with us, you're part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.
Role Purpose
The Data & Analytics Engineer role focuses on creating engineering & analytics according to data scope for our home product portfolio, serving millions of homes across Europe. As a key member of our data team, you will be responsible for implementing reporting pipelines and integrating them with cross-product analytics to inform strategic decision-making processes. The role offers an exciting opportunity to work with large and complex datasets, develop innovative analytics solutions using industry best analytics services and practices and contribute to the success of our products in the market.
Also, to design, build, and maintain scalable, end-to-end data engineering and analytics solutions that deliver actionable insights, support strategic decision making, and drive continuous improvement across Vodafone's Home Technology and Products portfolio.
As the candidate gains knowledge and experience, the position will evolve into an end-to-end analytics architect role, where you will play a pivotal role in designing and implementing comprehensive analytics solutions across the organization.
Key Accountabilities And Decision Ownership
- Design and implement cloud-based reporting pipelines leveraging AWS and GCP services, ensuring scalable, efficient, and cost-effective data processing and analytics solutions
- Develop and maintain robust ETL/ELT workflows to ingest, transform, and optimize structured and unstructured data, enabling seamless integration with analytics and BI platforms
- Ensure data quality and reliability by implementing automated testing frameworks, data validation processes, and monitoring systems to proactively identify and resolve data inconsistencies
- Provide technical leadership and mentorship to junior data engineers, BI developers, and analysts; foster best practices and continuous learning within agile delivery teams
- Develop and deploy interactive dashboards and reports (Tableau, Power BI) that deliver clear, actionable insights to executive and operational teams. Establish automated data quality, validation, testing, and monitoring frameworks to ensure data accuracy, reliability, and performance
Core Competencies, Knowledge And Experience
- Mastery of SQL, with a proven track record of utilizing advanced features and optimizations, coupled with hands- on experience in GCP BigQuery, enabling efficient data querying and manipulation
- Robust expertise in a wide range of data-related technologies(AWS Colud tools ), encompassing sophisticated data analytics techniques, comprehensive data warehousing strategies, and cutting-edge business intelligence solutions, ensuring a comprehensive understanding of the data landscape
- Proficiency in crafting insightful reports and intuitive dashboards tailored to diverse business needs, showcasing the ability to distill complex data into actionable insights that drive strategic decision-making
- Adept at identifying and resolving database and data process issues through systematic troubleshooting methodologies, ensuring data integrity and operational continuity across various systems and processes
- Demonstrated proficiency in leveraging data visualization tools, particularly Tableau, to create compelling and impactful visual representations of data, enhancing communication and understanding of key insights among stakeholders
Must Have Technical / Professional Qualifications
- Bachelor's degree in a quantitative subject (e.g., computer science, mathematics, engineering) (Must work in SW environment )
- 4+ years' experience as a Data Analyst or Engineer
- Hands-on expertise with cloud platforms (GCP BigQuery, AWS Cloud tools ), ETL/ELT tools, and BI visualization software(Tableau is must)
- Hands on experience with all aspects of software development including gathering requirements, analysis, design, dimension building, data loading, optimization and front end development
- Solid understanding of Management reporting requirements, cross functional KPIs and regulatory reports
Senior Data Analytics
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Purpose of the job
- Develop, implement, test, debug and provide technical support for reporting and information extraction tasks within the scope of Orange DWH & application reporting area.
Duties And Responsibilities
- Responsible for the DW and business intelligence and reporting all development functionalities using all available extracting, reporting and business intelligence tools.
- Support the End Users to better work with their related applications.
- Document all reporting changes and modifications and all development activities.
- Monitor queries performance and outputs quality and sustain quality throughout all activities.
- Ensure deadlines for delivering input for internal and external reports are always respected.
- Ensure dispatching all reports and/or queries result to their distribution list.
- Support business domains when they receive the access to run their reports directly from the DWH and/or BSCS reporting Server.
- Sustain an acceptable response to user reporting requirements (Reports, data extraction)
- Update constantly DWH and information systems skills, experience and competencies.
- Develop required reports and presentation interfaces for Orange information systems.
- Respond to information requirements and business needs following procedures and workflow and enforce their usage. Automate information and reporting processes.
- Responsible for testing the performance of any developed module (extraction, scripting, reports.)
Job specification
Education
- B.Sc. Computer Science or equivalent
Experience.
- 3-5 years of working experience in information systems and business intelligence
- Have a deep understanding of various data modeling methodologies, design patterns and design principles in data warehousing.
- Strong SQL skill for enterprise class RDBMS.
- Awareness of Office and desktop applications (word, excel, etc).
- Work experience in telecommunication environment is a plus.
Skills And Abilities
- Experience with Data collection, Reporting tools and technologies in SQL, and Advanced Excel
- Excellent analytical skills.
- Awareness of end-to-end DWH lifecycle
- Strong Programming and scripting skills.
- Good communication skills.
- Good interpersonal and teamwork skills.
- High aptitude for research and development.
- Fluent English.
- Ability to work under pressure & tight deadlines
- Ability to work in a team
Data Analytics Manager
Posted today
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Job Description
**Role Purpose**:
- The
- **Data Analyst** is responsible for collaborating with stakeholders and internal customers to provide commercial and provocative perspectives on the opportunities, issues and challenges in order to ensure effective development of products and digital offerings. The role holder is also responsible for leveraging data analytics to develop insights that will enhance decision making processes.**Role Details - Key Responsibilities and Accountabilities**:
**Market Research and Business Insights**
- Conduct market research to identify relevant customer and market segments in order to support the omni-channel function to define the product and digital offerings.
- Prepare reports for product teams and various stakeholders on a regular basis in order to share business insights to support on digital initiatives.
- Plan and administer market surveys for various regions, products and services in order gather inputs that will contribute to business decisions.
- Leverage analytical reporting tools to provide business insights and report on market activities and, identify areas for improvement in collaboration with Data Scientists and Data Engineers.
- Collaborate with omni-channel stakeholders to design and develop business intelligence solutions based on market insights.
- Provide integrated analytical solutions to the senior management related to products and digital offerings.
**Competitor Intelligence**
- Track competitors on a periodic basis and highlights any potential opportunities to the Product teams.
- Conduct specific research on competitors on need-basis and report results to stakeholders in a timely manner.
**Human Capital Responsibilities**
- Proactively identify and seek professional development opportunities to improve leadership and technical skills pertaining to the direct line of work.
- Provide feedback to colleagues, when required.
**Financial Responsibilities**
- Monitor allocated budget to ensure compliance and take corrective measures when necessary.
- Provide inputs on the development of annual budget.
- Develop necessary measures towards continuous reduction of the operational cost.
- Provide inputs while developing MAF Retail’s corporate policies and relevant procedures, and monitor the implementation.
**Qualification, Experience & Skills**:
**Minimum Qualifications/education**
- Bachelor’s Degree in field related to Database Management or Data Analytics
**Minimum experience**
- 5 - 7 years of experience in a similar role.
- Retail industry experience is a plus.
**Skills**
- Strong business communication and presentation skills
- Aptitude in decision-making and working with numbers
- Experience in collecting and analyzing data
**Preferred Languages**
- English (Full professional proficiency - Required)
- Arabic (Professional efficiency - Advantage)
- Language of the country where applicable
Data Analytics Manager
Posted today
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Job Description
**Role Purpose**:
The **Data Analyst** is responsible for collaborating with stakeholders and internal customers to provide commercial and provocative perspectives on the opportunities, issues and challenges in order to ensure effective development of products and digital offerings. The role holder is also responsible for leveraging data analytics to develop insights that will enhance decision making processes.
**Role Details - Key Responsibilities and Accountabilities**:
**Market Research and Business Insights**
- Conduct market research to identify relevant customer and market segments in order to support the omni-channel function to define the product and digital offerings.
- Prepare reports for product teams and various stakeholders on a regular basis in order to share business insights to support on digital initiatives.
- Plan and administer market surveys for various regions, products and services in order gather inputs that will contribute to business decisions.
- Leverage analytical reporting tools to provide business insights and report on market activities and, identify areas for improvement in collaboration with Data Scientists and Data Engineers.
- Collaborate with omni-channel stakeholders to design and develop business intelligence solutions based on market insights.
- Provide integrated analytical solutions to the senior management related to products and digital offerings.
**Competitor Intelligence**
- Track competitors on a periodic basis and highlights any potential opportunities to the Product teams.
- Conduct specific research on competitors on need-basis and report results to stakeholders in a timely manner.
**Human Capital Responsibilities**
- Proactively identify and seek professional development opportunities to improve leadership and technical skills pertaining to the direct line of work.
- Provide feedback to colleagues, when required.
**Financial Responsibilities**
- Monitor allocated budget to ensure compliance and take corrective measures when necessary.
- Provide inputs on the development of annual budget.
- Develop necessary measures towards continuous reduction of the operational cost.
- Provide inputs while developing MAF Retail’s corporate policies and relevant procedures, and monitor the implementation.
**Qualification, Experience & Skills**:
**Minimum Qualifications/education**
- Bachelor’s Degree in field related to Database Management or Data Analytics
**Minimum experience**
- 5 - 7 years of experience in a similar role.
- Retail industry experience is a plus.
**Skills**
- Strong business communication and presentation skills
- Aptitude in decision-making and working with numbers
- Experience in collecting and analyzing data
**Preferred Languages**
- English (Full professional proficiency - Required)
- Arabic (Professional efficiency - Advantage)
- Language of the country where applicable
Data Analytics - Data Analyst - Cairo
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Job Description
Infomineo is a Brainshoring services company, supporting global clients from various geographies and industries across a range of services: Business Research, Business Translation, Graphic Design and Data Analytics.
Infomineo counts +250 employees spread across different offices in the EMEA region and the America’s. Our clients include leading Consultancies, Fortune 500 companies, Governments and NGOs.
**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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Data Analytics Senior Analyst
Posted today
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Job purpose:
responsible for data collection, data modelling, data visualization, and data interpretation to support business decision-making, and drive performance improvements, and determining the best way to represent it visually to managers and stakeholders.
Responsibilities:
1. Data Collection & Preparation:
Collect, clean, and prepare data from multiple sources for analysis, ensuring data quality, accuracy, and integrity
2.Data Analysis
: Perform exploratory data analysis and statistical analysis to identify patterns, trends, and insights in large datasets.
3.Data Visualization:
Develop data visualizations, dashboards, and reports using tools such as Tableau, Power BI, or similar, to communicate key insights and findings to business stakeholders.
4. Business Insights
: Collaborate with business leaders and stakeholders to understand business requirements, define analytical objectives, and deliver actionable insights and Recommendations
5. Predictive Modeling:
Build and deploy predictive models and machine learning algorithms to forecast trends, identify opportunities, and solve business problems.
6. Performance Measurement:
Define and track key performance indicators (KPIs) and metrics to measure the effectiveness and impact of data analytics initiatives on business outcomes.
7.Continuous Improvement:
Stay abreast of industry trends, emerging technologies, and best practices in data analytics, and contribute to continuous improvement initiatives to enhance data analytics capabilities and Process.
Qualifications:
- Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
- 2+Years Previous experience in data analysis, business intelligence, or related fields preferred.
- Proficiency in data analysis tools and programming languages, such as SQL, Python, R, or similar.
- Experience with data visualization tools, such as Tableau, Power BI, or similar.
- Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Detail-oriented and organized, with the ability to manage multiple tasks and priorities effectively.
- Passion for data-driven decision-making and continuous learning
Head of Data Analytics
Posted today
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Job Description
About Paymob
Paymob is one of the fastest-growing payment companies in MENA, powering thousands of merchants across Egypt, UAE, KSA, and Oman. We enable businesses of all sizes to accept payments seamlessly, grow faster, and manage their financial operations more efficiently.
We're on a mission to make financial technology accessible, trusted, and transformative for merchants across the region.
About the Role
We're looking for a
Head of Insights & Analytics
to take Paymob's data capabilities to the next level. Our data infrastructure is already in place — what we need now is a leader who can:
- Democratize access to data
across all teams. - Drive adoption and consistency
of insights in decision-making. - Build data-driven products
that give our merchants powerful insights and create new value streams.
This role sits at the intersection of data, product, and strategy, reporting directly to the VP of Product and partnering closely with Commercial, Engineering, Finance, and Operations teams.
What You'll Do
1. Data Strategy & Culture
- Shape and scale Paymob's data strategy, focusing on adoption and impact
· Define and own the company-wide data vision and roadmap.
- Drive alignment on business-critical KPIs and ensure consistency across the company.
- Foster a self-serve analytics culture where all teams can independently extract insights.
2. Democratize Access to Data
- Enhance existing BI platforms and dashboards for broader usability.
- Standardize metrics and improve documentation so data is accessible and trusted.
- Ensure compliance with PCI, GDPR, and local data regulations while enabling access.
3. Insights & Decision Support
- Deliver actionable insights on merchant performance, acceptance rates, fraud, and customer behavior.
- Partner with leadership to embed data into strategic and operational decisions.
- Support experimentation, measurement, and optimization across teams.
4. Data Product Development
- Translate Paymob's transaction and merchant data into external-facing analytics features and benchmarking tools.
- Identify opportunities to monetize data through insights-driven products.
- Partner with Product & Engineering to design and launch merchant-facing products.
5. Team Leadership
- Lead and grow the Insights & Analytics team.
- Coach analysts, engineers, and data scientists to become trusted partners across the org.
- Act as the voice of data in executive decision-making.
What We're Looking For
- 8+ years in analytics, data strategy, or data product leadership.
- Proven experience scaling data adoption in high-growth fintech, payments, or e-commerce companies.
- Hands-on expertise in SQL, Python , and BI tools (Looker, Tableau, Power BI, or similar).
- Deep understanding of data architecture, ETL processes, and cloud data platforms (e.g., AWS, GCP, Azure).
- Strong product mindset with experience building customer-facing data products.
- Exceptional communication skills — able to bridge technical depth with business context.
- Experience working with compliance frameworks in regulated industries is a plus.
Why Join Paymob
- You'll own the next phase of Paymob's data journey: moving from infrastructure to
impact and products
. - Unique chance to drive both
internal decisions
and
external merchant value
with data. - Work with a high-energy, mission-driven team shaping the future of fintech in MENA.
- Competitive compensation and benefits.
- Hybrid / remote work flexibility.
If you're passionate about scaling data adoption and turning insights into products, we'd love to hear from you.
ETIC, Data Analytics Graduate Program
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Description
Established in the region for 40 years, PwC has around 12,000 people in 12 countries across the region: Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Oman, the Palestinian territories, Qatar, Saudi Arabia and the United Arab Emirates.
Our regional team operates across the Middle East bringing international experience delivered within the context of the region and its culture. We can bring the collective knowledge and experience of more than 370,000 people across the entire global PwC network in advisory, assurance and tax to help you find the value you are looking for.
Line of Service
Advisory
Industry/Sector
Technology
Specialism
Data Analytics
Management Level
Administrative
Job Description & Summary
The Contingent Workforce job family group at PwC includes people working for PwC who are not a partner or employed by a PwC Legal Entity.
As a contingent worker at PwC, you will work for PwC without being a partner or employed by a PwC Legal Entity.
In our changing world, you are expected to deliver high-quality work that enables your teams and/or clients. You create a positive working environment, and build relationships quickly and easily. You are curious, anticipate and address the needs of others, and look to fully understand each task before assisting in the most appropriate way. You are organised, and work collaboratively and efficiently, staying energised even when faced with challenges or ambiguity.
Skills
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Apply a learning mindset, take ownership of your development, and share and adopt best practices to continuously upskill yourself and others.
- Conduct yourself in a professional manner and take responsibility for your work and commitments.
- Actively listen, check your understanding, interpret and respond appropriately.
- Tailor your communication style and method based on your audience.
- Organise and prioritise information and tasks to achieve efficient and effective outcomes.
- Suggest new ideas or solutions when problems and/or opportunities arise.
- Adapt to meet the changing needs, processes and assignments of your teams and/or clients.
- Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
Education
(if blank, degree and/or field of study not specified)
Degrees/Field Of Study Required
Degrees/Field of Study preferred:
Certifications
(if blank, certifications not specified)
Required Skills
Optional Skills
Desired Languages
(If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date