مهندس بيانات Jobs in Saudi Arabia

About the Role

The Data and Innovation Scientist at Saudi Al-Qadisiyah Club joins the world of football analytics by seeking a highly skilled and ambitious data scientist. This role will play a key part in delivering data-driven insights to support the first team coaches, video analysts, and performance and scouting staff. This opportunity aims to contribute to shaping the club's legacy and driving innovation in Saudi sports.

Data Scientist Responsibilities

• Extract, transform, and load data from various sources, including event, tracking, and performance data.
• Ensure data quality and consistency to support accurate analysis and reliable insights.
• Support the evaluation of individual and team performance by effectively managing and analyzing data.
• Analyze trends and patterns in data to aid in tactical evaluation and strategic decision-making.
• Oversee the integration, processing, and storage of data from multiple sources.
• Assist in managing and optimizing the club's internal data warehouse, particularly on the Google Cloud Platform (GCP).
• Develop and maintain automated data pipelines using Python and SQL to streamline workflows and improve efficiency.
• Collaborate with software engineers to optimize database performance and ensure data accessibility.
• Maintain and enhance the club's analytics platform to ensure its continuity and effectiveness.
• Integrate new data sources into the analytics platform to expand the scope of analytical insights.
• Optimize the analytics platform to meet the evolving needs of coaches, analysts, and scouts.
• Develop predictive models and advanced statistical tools to forecast performance and identify key trends.
• Apply machine learning and deep learning techniques to uncover complex patterns and generate actionable insights.
• Explore new data sources and innovative methodologies to continuously improve analytical capabilities.
• Simplify complex analytical concepts and findings for non-technical stakeholders.
• Effectively communicate data-driven insights to support day-to-day football operations and strategic planning.
• Act as a liaison between technical data analysis and strategic decision-making processes.
• Ensure all generated insights are actionable and directly aligned with the club's objectives.

Qualifications and Requirements

• Bachelor's degree in a quantitative field such as Data Science, Mathematics, Engineering, or Statistics.
• Master's degree in a quantitative field such as Data Science, Mathematics, Engineering, or Statistics, or equivalent practical experience.
• Proven experience in data analysis, with a preference for experience in a football or sports context.
• Familiarity with football data sources, including event, tracking, or performance data, is a plus.
• Strong understanding of data modeling principles.
• Ability to adapt to a new cultural and professional environment, with an openness to learn about Saudi football.
• Full proficiency in English, both spoken and written.

Core Skills

• Data collection and processing.
• Data quality assurance.
• Data management and integration.
• Data warehousing solutions.
• Data pipeline development.
• Database performance optimization.
• Dashboard development and visualization (Tableau, Power BI).
• Analytics platform maintenance and enhancement.
• Advanced analytics and statistical modeling.
• Predictive modeling.
• Machine learning and deep learning techniques.
• Insight translation and communication.
• Proficiency in Python and SQL.
• Strong problem-solving abilities.
• High attention to detail.
• Excellent communication skills (for technical and non-technical audiences).
• Adaptability and quick learning.
• Development of applications for football analytics (desirable).
• Previous experience in Saudi Arabia or the Middle East (desirable).
• Multilingual skills, especially Spanish and Arabic (desirable).

Job Details and Work Environment

This is a full-time position requiring 5-10 years of experience. The work location is in Al Khobar, Eastern Province, Kingdom of Saudi Arabia. The executive management team in Riyadh is appointing on behalf of Al-Qadisiyah Sports Club for this hire.

About the Role

Al-Qadsiah Saudi Club is building a legacy focused on inspiring generations and shaping the future of Saudi sports through ambition, synergy, and innovation. This is an opportunity to join a dynamic organization and contribute to its journey. As a Software Engineer, you will play a key role in developing and maintaining the club's in-house dashboard application and the cloud infrastructure supporting the increasing use of data within the First Team and Academy. This position is essential for enhancing the club's technology infrastructure and advancing data-driven decision-making processes.

This role offers a chance to contribute to the nation's sports vision and make a significant impact within a fast-paced environment where your contributions directly influence technological advancements and operational efficiency.

Key Responsibilities

• Develop and maintain an in-house dashboard application for football analytics.
• Implement robust front-end and back-end solutions for club applications.
• Design user-friendly interfaces and improve usability based on stakeholder feedback.
• Optimize application performance and ensure scalability for increasing data loads.
• Design and manage data pipelines, integrating multiple data sources using Python and SQL.
• Maintain and optimize databases, including MySQL and PostgreSQL.
• Deploy and manage cloud-based solutions utilizing Google Cloud Platform.
• Ensure the security, networking, and reliability of cloud infrastructure.
• Optimize cloud resource allocation for cost efficiency and scalability.
• Manage cloud-based storage solutions for high-performance data access and retrieval.
• Manage the Kubernetes and Docker ecosystems for containerization and orchestration.
• Collaborate with data and video analysts, coaches, and performance and technical staff to deliver impactful tools.
• Present technical solutions clearly to non-technical stakeholders.

Qualifications and Experience

• Bachelor's degree in Computer Science, Software Engineering, or a relevant field.
• Master's degree in Computer Science, Software Engineering, or equivalent experience.
• A minimum of 5-10 years of professional experience in software engineering.
• Strong problem-solving skills and the ability to thrive in a fast-paced football environment.

Required Technical Skills

• Proficiency in Python and its data visualization libraries (pandas, matplotlib, seaborn, Plotly, Dash).
• Experience with Django for web development and API development using Flask or FastAPI.
• Knowledge of Google Cloud Platform, specifically BigQuery, Cloud Networking, and Google Kubernetes Engine.
• Experience with JavaScript, TypeScript, and front-end frameworks like React Native or Flutter.
• Strong understanding and practical experience with Docker and Kubernetes for containerization and orchestration.
• Proficiency in using GitHub for version control and collaborative development.
• Strong SQL knowledge, with experience in MySQL and PostgreSQL being desirable.

Work Environment and Location

This is a full-time position based in Al Khobar, Eastern Province, Saudi Arabia. Al-Qadsiah Club fosters a culture that values quality, accountability, diversity, synergy, innovation, and ambition, known as the Qadsiah Way.

The Executives in Sport Group are retained on behalf of Al Qadsiah SC to make this appointment. All direct applications and CVs will be forwarded to The Executives in Sport Group.

About the Role

Agoda is seeking a Staff Machine Learning Engineer to join its team. This role is focused on developing and deploying machine learning solutions to enhance Agoda's technological capabilities, ensuring the scalability, stability, and efficiency of ML systems. The position offers the opportunity to work with large datasets on a global travel platform, with relocation assistance provided for candidates based in India. The Engineering department at Agoda utilizes data and technology to inform business decisions, improve customer experiences, and prevent fraud. The ML engineering squad addresses complex challenges involving structured and non-structured data at scale, processing millions of images daily to enhance user interactions. This role operates at the intersection of business analytics, ML engineering, data warehousing, and software engineering, dealing with distributed systems, stream processing, and large-scale ML computation.

Key Responsibilities

• Provide technical leadership to improve the scalability, stability, accuracy, speed, and efficiency of existing ML systems and processes.
• Build, administer, and scale ML processing pipelines.
• Design, build, test, and deploy new libraries, frameworks, or full systems for core systems, adhering to high standards of testing and code quality.
• Collaborate with engineers and product owners to identify and build tools for automating large-scale data management and analysis tasks.
• Take end-to-end ownership of ML models, from development through to production deployment at scale.

Qualifications and Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• Over 10 years of experience in software engineering, with a minimum of 4 years specifically in Machine Learning.
• Good experience in PySpark.
• Expert-level understanding of Python, including design patterns and object-oriented programming.
• Experience debugging and reasoning about production issues.
• A good understanding of data architecture principles is preferred.
• Experience with Big Data technologies and tools.
• SQL experience.
• Analytical problem-solving capabilities and experience.
• Systems administration skills in Linux.
• A strong engineering-driven mindset is required.

Technical Skills

• Programming Languages: Python3, Scala development.
• Big Data & ML Frameworks: PySpark, Hadoop, S3.
• Scripting: Bash/Python.
• Databases: SQL.
• Machine Learning Models: Understanding of Random Forest, CNN, Regression models.
• Data Engineering: Data replication, storage, centralized computation, Data API's.
• Software Engineering Principles: Design patterns, object-oriented programming, debugging, reasoning about production issues.
• Data Architecture: Understanding of data architecture principles.
• Operating Systems: Systems administration in Linux.
• Big Data Ecosystems: Good understanding of Hadoop ecosystems.
• Development Methodologies: Experience working in an agile environment using test-driven methodologies.
• General: Analytical problem-solving capabilities, experience with Open-source products.

Work Location and Environment

This is a full-time position based in Gurgaon, India, with relocation assistance provided. The role is situated within the region of Jiddah, Makkah, Saudi Arabia, specifically in the cities of Jeddah and Makkah. Agoda operates with a diverse global team of over 90 nationalities across more than 40 offices in over 25 countries.

About the Role

Agoda is seeking a Senior/Staff Machine Learning Engineer to join its engineering department. This role is focused on enhancing Agoda's business through the development and scaling of innovative machine learning systems. The engineer will contribute to core technology initiatives impacting millions of users globally, driving improvements in areas such as search experience, fraud detection, and operational efficiency. This position is based in Bangkok, with relocation assistance provided.

Role Context

The Engineering department at Agoda is responsible for all machine learning and software-related requirements. The team focuses on enabling and increasing business performance through creative approaches and the implementation of powerful resources, including operational and analytical databases, ML-driven solutions, queue systems, and data monitoring tools. The work involves processing structured and non-structured data at scale, including millions of images daily, to enhance user experience.

Key Responsibilities

• Provide technical leadership to improve the scalability, stability, accuracy, speed, and efficiency of existing ML systems and processes.
• Build, administer, and scale ML processing pipelines.
• Design, build, test, and deploy new libraries, frameworks, or full systems for core systems, adhering to high standards of testing and code quality.
• Collaborate with experienced engineers and product owners to identify and build tools that automate large-scale data management and analysis tasks.
• Take end-to-end ownership of building and delivering ML models to production at scale.

Qualifications and Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 6+ years of experience in software engineering.
• A minimum of 4+ years of experience specifically in Machine Learning.
• Expertise in SQL, Python 3, and a JVM-based programming language such as Java or Scala.
• Expertise in software design, design patterns, functional programming, and object-oriented programming.
• Strong analytical problem-solving capabilities and experience.
• A strong engineering-driven mindset.

Technical Skills

• Proficiency in Python 3, Scala Spark, and Bash/Python scripting.
• Experience with Hadoop and S3.
• Familiarity with ML model internals, including LightGBM, Random Forest, CNN, and Regression models.
• Strong understanding of software design principles and design patterns.
• Proficiency in functional programming and object-oriented programming paradigms.
• Demonstrated analytical problem-solving skills.
• Good understanding of Hadoop ecosystems, Big Data architecture, and technologies.
• Experience working with open-source products.
• Experience with Scala development.
• Experience working in an agile environment using test-driven methodologies.
• Systems administration skills in Linux.

Work Location and Type

This is a full-time position based in Bangkok. Relocation assistance is provided.

About the Role

Agoda, a global leader in online travel, is seeking a motivated Analytics Specialist to join its dynamic Performance Marketing Team. This role is integral to developing and executing large-scale marketing programs designed to enhance customer lifetime value through measurable marketing initiatives. As part of a highly data-driven department, you will contribute to a culture fueled by curiosity and innovation, working with a diverse team of analysts, marketing strategists, and data scientists. This position offers an opportunity to connect people with destinations and experiences worldwide, leveraging data and technology.

This role is based in Bangkok, with relocation assistance provided. The core of the position involves deep data analysis to optimize campaign performance, develop predictive models, and generate actionable insights for stakeholders. You will be instrumental in driving growth and improving marketing effectiveness within a fast-paced, global tech environment.

Key Responsibilities

• Experiment with and optimize campaign performance across various advertising and bidding strategies on platforms such as Google, Bing, TripAdvisor, and Trivago.
• Adapt to new product features and implement changes derived from successful testing initiatives.
• Analyze vast datasets generated from experiments to develop predictive models using data science techniques.
• Understand the impact of large-scale campaigns (*, TV advertising) and demand elasticity from pricing optimization.
• Liaise with product teams to define and implement a roadmap for data-driven product enhancements.
• Build dashboards to track marketing performance and key metrics.
• Derive insights from data to understand growth levers and identify areas for improvement.
• Communicate recommendations and findings through presentations to various stakeholders.

Qualifications and Requirements

• Bachelor's degree or higher from a top university in a quantitative subject such as Computer Science, Mathematics, Engineering, Business, or a relevant field of study.
• 0 to 4 years of experience in data analysis, preferably from top-tier consulting, investment banking, private equity, or a strategy/business role within a fast-growing global tech company.
• Excellent verbal and written communication skills in English.
• Ability to work efficiently and make decisions based on objective data evidence.
• A desire to take ownership, make an impact, and influence outcomes.
• Excellent organizational skills and attention to detail.
• Ability to work independently.

Required Skills

• Proficiency in data analysis packages and databases, including SQL, SAS, R, SPSS, Python, and VBA.
• Experience with data visualization tools such as Tableau and Power BI.
• Experience with A/B testing and other testing metrics.
• Strong data analysis and data analytics capabilities.
• Expertise in data visualization and business analysis.
• Understanding of business intelligence (BI) principles.
• Familiarity with machine learning concepts and statistics.
• Excellent communication and organizational skills.
• Keen attention to detail.

Work Location and Additional Information

This is a full-time position. The role is based in Bangkok, with relocation assistance provided. Agoda is an equal opportunity employer committed to diversity and inclusion, and employment is based solely on merit and qualifications.

About the Role

AIQU is seeking a skilled MLOps Engineer to join one of its major clients in Jeddah, Saudi Arabia. This role is critical for operationalizing, deploying, monitoring, and scaling production-grade AI/ML solutions specifically on the Google Cloud Platform (GCP). The MLOps Engineer will be instrumental in building reliable, automated, and secure end-to-end ML platforms and pipelines. This position fosters seamless collaboration between Data Science, AI Engineering, Platform, and Operations teams, ensuring that ML models developed using Vertex AI and other GCP services are consistently trained, versioned, deployed, monitored, and governed throughout their entire lifecycle. A strong, hands-on experience with GCP-native MLOps services, CI/CD, and production operations is a mandatory requirement for this position.

Key Responsibilities

• Operationalize, deploy, monitor, and scale production-grade AI/ML solutions on Google Cloud Platform (GCP).
• Build reliable, automated, and secure end-to-end ML platforms and pipelines.
• Enable seamless collaboration between Data Science, AI Engineering, Platform, and Operations teams.
• Ensure ML models are consistently trained, versioned, deployed, monitored, and governed throughout their lifecycle using Vertex AI and other GCP services.

Qualifications and Requirements

• Minimum of 2-5 years of experience in MLOps or related engineering roles.
• Minimum of 3+ years of recent, hands-on experience on Google Cloud Platform (mandatory).
• Deep experience with Vertex AI, including pipelines, endpoints, model registry, and monitoring.
• Solid understanding of CI/CD principles and practices.
• Experience with infrastructure automation.
• Proficiency in Python and ML lifecycle tooling.
• Strong understanding of production reliability, monitoring, and scalability concepts.
• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Relevant GCP certifications, such as Professional Cloud DevOps Engineer, are a strong plus.

Technical Skills

• MLOps Engineering
• ML Engineering
• DevOps
• Google Cloud Platform (GCP)
• Vertex AI (Pipelines, Endpoints, Model Registry, Monitoring)
• CI/CD (Continuous Integration/Continuous Deployment)
• Infrastructure Automation
• ML Workflows
• Containerization (Docker)
• Orchestration Concepts
• Python
• ML Lifecycle Tooling
• Production Reliability
• Monitoring
• Scalability

Work Location and Duration

This is a full-time position located in Jeddah, Makkah, Saudi Arabia. The contract duration is 12 months, with the possibility of extension.

About the Role

Agoda, a global leader in travel technology and part of Booking Holdings, is seeking a Business Analyst to join its Performance Marketing Team. This role is based in Bangkok, with relocation assistance provided. The Performance Marketing Team focuses on online marketing, utilizing data and technology to develop and scale marketing programs that enhance customer lifetime value. You will be part of a diverse, international team of analysts, marketing strategists, and data scientists.

Role Context and Contribution

In this position, you will drive growth through experimentation and analysis across various marketing channels. You will work with data and technology to contribute to Agoda's innovation in the travel industry. This is an opportunity to build a career in a data-driven environment and contribute to the future of travel.

Key Responsibilities

• Experiment with text ads, bidding strategies, and campaign structures across search engines including Google, Bing, Baidu, and Naver, adapting to new product features and implementing successful test outcomes.
• Test, analyze, and optimize digital advertising campaigns across social media platforms such as Facebook, Twitter, and Instagram.
• Analyze large datasets generated from marketing experiments, develop models for campaign optimization, and build dashboards for account managers.

Qualifications and Requirements

• Bachelor's Degree or higher from a top university in a quantitative subject such as computer science, mathematics, engineering, statistics, or a science field.
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Microsoft Excel.
• Demonstrated intellectual curiosity.

Technical Skills and Experience

• Proficiency in data analysis and data analytics, including data mining and data science principles.
• Experience with data visualization tools such as Tableau.
• Familiarity with business analysis and business intelligence (BI) concepts.
• Exposure to one or more data analysis packages or databases, including SAS, R, SPSS, Python, VBA, and SQL.
• Experience with Microsoft SQL Server.
• Experience in digital marketing.
• Strong analytical skills.

Additional Role Details

This is a full-time position. Agoda is an equal opportunity employer committed to diversity and inclusion. Applications from all qualified individuals are encouraged. Your application may be kept on file for future vacancies. Please note that unsolicited third-party submissions are not accepted.

About the Role

Agoda, a prominent online travel platform and part of Booking Holdings, is seeking a Lead Analyst to join its Supply Analytics team. This position is crucial for optimizing Agoda's supply ecosystem by providing data-driven insights and supporting strategic decisions. The role involves direct engagement with partners and contributes to the strategic direction and operational execution within the Supply Department. As an individual contributor, you will report to a Senior Manager or Associate Director and collaborate closely with other Agoda teams.

The Supply Analytics team is responsible for analyzing partner and marketplace dynamics, developing forecasts and models, conducting experiments, and creating scalable data products. The team's work directly influences inventory quality, partner economics, and the long-term growth of Agoda, making this a high-impact role.

Key Responsibilities

• Translate internal requirements into comprehensive analytical projects, including refining briefs, formulating questions, developing hypotheses, and outlining outputs.
• Utilize and analyze data from multiple large-scale data warehouses to present statistically robust analyses to diverse business stakeholders.
• Proactively identify opportunities for growth within the supply chain and the broader business.
• Drive new analytical initiatives and projects focused on enhancing organizational efficiency and shaping Agoda's supply strategy.
• Identify, support, and lead projects aimed at scaling the Supply organization's use of data, insights, and intelligence.
• Automate manual operational processes and report on time savings achieved through modernization efforts.

Qualifications and Requirements

• A minimum of 2-5 years of experience as an Analyst, with a strong background in analytics, data science, insights, strategy, or business intelligence.
• Advanced working knowledge and hands-on experience with SQL.
• Strong knowledge and hands-on experience with data visualization tools, preferably Tableau.
• Expertise in data analysis and data visualization tools and software such as Excel, and proficiency in Python or R.
• A Bachelor's degree in a business or quantitative subject, such as computer science, mathematics, engineering, science, economics, or finance.
• A good understanding of statistical modeling techniques or machine learning concepts, including hypothesis testing, regression, logistic regression, and random forest.
• Proven experience in stakeholder management, with comfort in presenting to senior leadership and C-suite executives.
• Experience in conducting A/B testing experiments.
• Strong experience in deriving data insights and providing actionable business recommendations.
• A "hacker's mindset" – the ability to develop simple, clever, and elegant solutions to new problems under significant resource, operational, and time constraints, leveraging a deep understanding of the business, creative problem-solving skills, and broad expertise in data, analytics, automation, programming, and prototyping.
• Excellent communication skills, including superior written, verbal, presentation, and interpersonal abilities.
• A data-driven approach to both decision-making and performance measurement.
• Extreme comfort operating in ambiguous, fast-paced environments.
• Ability to multi-task, prioritize effectively, and coordinate resources.

Required Skills

• Data Analysis and Visualization
• SQL
• Tableau
• Excel
• Python / R
• Statistical Modelling
• Machine Learning
• Stakeholder Management
• A/B Testing
• Data Insights Generation
• Business Recommendation Formulation
• Problem Solving
• Automation
• Programming
• Prototyping
• Communication (Written, Verbal, Presentation, Interpersonal)
• Decision Making
• Performance Measurement
• Multi-tasking
• Prioritization
• Resource Coordination

Work Environment and Location

This full-time role is based in Bangkok, Thailand. Relocation assistance is provided for this position. Remote work is not available for this role.

Agoda is an equal opportunity employer committed to diversity and inclusion.

About the Role

Diyar United Company is seeking qualified professionals for multiple job vacancies in Saudi Arabia. These positions offer career development opportunities within a dynamic and growing environment. We encourage motivated individuals looking to make a significant contribution to explore these openings.

Key Responsibilities

While specific duties vary by role, general responsibilities encompass the following areas:

• Project management and oversight for technology and software development projects.
• Driving business development and management strategies.
• Designing and developing complex systems and software architectures.
• Engineering and managing data pipelines and solutions.
• Ensuring the smooth operation and maintenance of applications.
• Designing and developing Geographic Information Systems (GIS) solutions.

Qualifications and Requirements

General qualifications and experience requirements are outlined below. Specific roles may have additional tailored requirements:

• Project Manager: Bachelor's degree in Information Systems Engineering, Computer Science, or a related field, with a minimum of 8 years in technology and software development, including at least 3 years of project management experience.
• Senior Business Development Expert: Bachelor's degree in Engineering or an equivalent related discipline (postgraduate studies are preferred), with a minimum of 5 years in business management and development, including at least 3 years of project management experience.
• Systems Programmer / Systems Designer: Bachelor's degree in Information Systems Engineering or Computer Science, with a minimum of 5 years in software design and information systems development.
• Data Engineer: Bachelor's degree in Information Systems, Software Engineering, Data Science, or a related field, with a minimum of 5 years in the field of Data Science.
• Application Operator: Bachelor's degree in Information Systems Engineering, Computer Science, or a related field, with a minimum of 3 years in application operations or software operations.
• Geographic Information Systems (GIS) Designer: Bachelor's degree in Information Systems Engineering, Computer Science, or a related field, with a minimum of 3 years in GIS design and development.
• All candidates must be Saudi Nationals.

Required Skills

The roles imply a need for proficiency in the following areas:

• Project management methodologies and tools.
• Business development and strategic planning.
• Software design, development, and architecture.
• Data engineering, data science principles, and relevant technologies.
• Application operations and system maintenance.
• Geographic Information Systems (GIS) design and implementation.
• Strong analytical and problem-solving abilities.
• Effective communication and collaboration skills.

Work Environment and Location

Diyar United Company is offering full-time employment opportunities in the Kingdom of Saudi Arabia. The work locations for these positions are in Jeddah and Makkah. The required experience level ranges from 3 to 10 years, depending on the specific role. Saudi Nationals are exclusively eligible to apply for these vacancies.

Application Process

Interested candidates are requested to submit their updated CV to j@**************. Please ensure that the job title is clearly mentioned in the email subject line to facilitate proper review and consideration of your application.

About the Role

E-Solutions is seeking an Oracle Cloud Data Migration Consultant to join our team in Jeddah, Makkah, Saudi Arabia. This full-time position is integral to ensuring the successful transfer and integrity of data into Oracle Cloud environments. The role requires a strong technical background in data migration strategies and tools, complemented by effective communication and collaboration skills for working with diverse teams.

Key Responsibilities

• Lead comprehensive data extraction, mapping, transformation, and validation activities for Oracle Cloud implementations.
• Develop and execute migration loads using tools such as FBDI, ADFDi, HDL (for HCM), and REST APIs.
• Create detailed data templates, mapping sheets, and clear cleansing guidelines to support business user involvement and data preparation.
• Coordinate with functional, technical, and business stakeholders to gather data requirements and obtain necessary approvals throughout the migration process.
• Perform rigorous mock loads and reconciliations to ensure data accuracy and completeness, and provide support during cutover and post-go-live phases.
• Troubleshoot and resolve data load errors to ensure successful, auditable migrations that meet project objectives.

Qualifications and Requirements

• Demonstrated hands-on experience with FBDI, ADFDi, HDL, and REST APIs.
• Solid understanding of Oracle Cloud Fusion data models and the data structures within various Oracle Cloud modules.
• Proficiency in SQL.
• Proven experience in data validation, reconciliation processes, and managing large-volume data migration cycles.
• Experience level required is 5-10 years.

Required Skills

• Oracle Cloud Data Migration Tools: FBDI, ADFDi, HDL, REST APIs
• Oracle Cloud Data Models and Module Data Structures
• SQL
• Data Validation and Reconciliation
• Large-Volume Migration Cycles Management
• Communication and Collaboration

Work Environment

This is a full-time position based in Jeddah, Makkah, Saudi Arabia.

About the Role

Agoda is seeking a Senior Analyst to join its Supply Analytics team. This role is crucial for optimizing Agoda's supply ecosystem through data-driven insights and decision support. As an individual contributor, you will report to a Senior Manager or Associate Director within the Supply Department and will collaborate directly with on-the-ground partners. While the position is based in Bangkok, Thailand, Agoda provides relocation assistance. You will work closely with team members within the Supply department and across Agoda to enhance inventory quality, partner economics, and support the long-term growth of Agoda.

Agoda, part of Booking Holdings, was founded in 2005 with the aim of simplifying travel. Today, it is a diverse organization of over 7,000 individuals from 90 countries, connecting people with millions of hotels, flights, and experiences globally. Data and technology are central to Agoda's culture, driving curiosity and innovation.

Key Responsibilities

• Translate internal requirements into comprehensive analytical projects, including refining briefs, formulating questions, developing hypotheses, and outlining outputs.
• Analyze data from multiple large-scale data warehouses and present statistically robust findings to diverse business stakeholders.
• Proactively identify opportunities for growth within the supply chain and the wider business.
• Lead new analytical initiatives and projects to improve organizational efficiency and shape Agoda's supply strategy.
• Identify, support, and lead projects focused on scaling the Supply organization's use of data, insights, and intelligence.
• Automate manual operational processes and report on time savings achieved through modernization efforts.

Qualifications and Requirements

• A Bachelor's degree, preferably in a business or quantitative field such as computer science, mathematics, engineering, science, economics, or finance.
• A minimum of 2-5 years of experience as an Analyst, with a strong background in analytics, data science, insights, strategy, or business intelligence.
• Advanced working knowledge and hands-on experience with SQL.
• Strong knowledge and hands-on experience with data visualization tools, preferably Tableau.
• Expertise in data analysis and visualization tools and software, including Excel and Python (or R).
• A solid understanding of statistical modeling or machine learning techniques, such as hypothesis testing, regression, logistic regression, or random forest.
• Proven experience in stakeholder management, with comfort in presenting to senior leadership and C-suite executives.
• Experience in conducting A/B testing experiments.
• Substantial experience in deriving data insights and providing actionable business recommendations.
• A "hacker's mindset" – the ability to develop simple, clever, and elegant solutions to new problems under significant resource, operational, and time constraints, demonstrating a deep understanding of the business, creative problem-solving skills, and broad expertise in data, analytics, automation, programming, and prototyping.
• Excellent communication skills, including superior written, verbal, presentation, and interpersonal abilities.
• A data-driven approach to both decision-making and performance measurement.
• Extreme comfort operating in ambiguous, fast-paced environments.
• The ability to multitask, prioritize effectively, and coordinate resources.

Skills Summary

• SQL
• Tableau
• Excel
• Python
• R
• Statistical Modelling
• Machine Learning
• Stakeholder Management
• A/B Testing
• Data Insights Generation
• Business Recommendation Formulation
• Problem Solving
• Communication (Written, Verbal, Presentation, Interpersonal)
• Data-Driven Decision Making
• Multi-tasking

Additional Information

This is a full-time position based in Bangkok, Thailand, with relocation assistance provided.

Preferred qualifications include an MBA or Master's degree in a quantitative subject (*, computer science, mathematics, engineering, science, economics, or finance), program management certifications (*, PMI, PRINCE2), experience in Asian markets, and experience in the travel industry, e-commerce, tech, or consulting.

About the Role

Agoda is seeking an Analyst/Sr Analyst, Pricing, Marketing to join its Performance Marketing Team. This role is based in Bangkok, with relocation assistance provided. The Performance Marketing Team is a global leader in online marketing, utilizing data to develop large-scale marketing programs aimed at enhancing customer lifetime value through measurable channels. You will be part of a diverse, international team of analysts, marketing strategists, and data scientists, contributing to Agoda's mission of connecting people to destinations and experiences worldwide. This position offers an opportunity to work at the intersection of data, technology, and marketing, collaborating with experts from various backgrounds to contribute to innovative marketing strategies that support Agoda's growth.

Key Responsibilities

• Conduct experiments with text ads, bidding strategies, and campaign structures across search engines including Google, Bing, Baidu, and Naver.
• Adapt to new product features and implement changes derived from successful testing initiatives.
• Test, analyze, and optimize marketing campaigns on social media platforms such as Facebook, Twitter, and Instagram.
• Analyze extensive datasets generated from marketing experiments to develop models for optimization.
• Build dashboards to support account managers in their performance tracking and analysis.

Qualifications and Requirements

• Bachelor's Degree or higher from a top university in a quantitative subject, such as computer science, mathematics, engineering, or a science field.
• Ability to communicate fluently in English.
• A minimum of 2 years of experience in top-tier management consulting, investment banking, private equity, or in a strategy/business operations role for a fast-growing, globally operating tech company.
• Good numerical reasoning skills.
• Intellectual curiosity and a drive to understand complex problems.

Required Skills

• Proficiency in data analysis packages and databases, including SAS, R, SPSS, Python, VBA, and SQL.
• Advanced proficiency in Microsoft Excel.
• Experience in digital marketing.
• Experience with academic research.

Work Environment and Location

This is a full-time position based in Bangkok. Relocation assistance is provided for this role. Agoda is an equal opportunity employer committed to diversity and inclusion, encouraging applications from all backgrounds and fostering an inclusive environment.

About the Role

Agoda, a leader in travel technology, is seeking a Senior Analyst, App Marketing to join its Performance Marketing Team. This role is based in Bangkok and offers relocation assistance. Agoda is part of Booking Holdings and is committed to making travel more accessible and enjoyable globally. The Performance Marketing Team utilizes data and technology to enhance customer lifetime value through measurable marketing programs. This position is within a data-driven environment, collaborating with experts in data science, product, strategy, and marketing.

This role is part of an ongoing expansion within the marketing department, with multiple analyst positions available across various marketing channels. The core function involves in-depth data analysis to optimize marketing efforts and drive business growth, contributing to customer acquisition and retention strategies.

Key Responsibilities

• Experiment with and optimize campaign performance across partners such as Google, Bing, TripAdvisor, and Trivago, focusing on ad structures, bidding, and pricing strategies.
• Implement changes derived from successful tests and adapt to new product features to improve marketing effectiveness.
• Analyze large datasets from experiments to develop predictive models using data science techniques.
• Assess the impact of large-scale marketing campaigns, including TV advertising, on bookings and analyze demand elasticity from pricing optimization.
• Collaborate with product teams to define and implement a roadmap for data-driven product enhancements.
• Build dashboards to track performance metrics and derive actionable insights.
• Identify key growth drivers and communicate strategic recommendations to stakeholders through presentations.

Qualifications and Requirements

• A Bachelor's degree or higher from a top university in a quantitative subject such as computer science, mathematics, engineering, business, or a related scientific field.
• A minimum of 4 years of experience in data analysis, preferably from top-tier consulting, investment banking, private equity, or a strategy/business role within a fast-growing global tech company.
• Demonstrated experience with data analysis packages or databases, including SQL, SAS, R, SPSS, Python, or VBA.
• Proficiency in data visualization tools such as Tableau or Power BI.
• Excellent verbal and written communication skills in English.
• The ability to work in a fast-paced environment, make efficient decisions based on objective data, and take ownership of outcomes.
• A strong desire to make a significant impact and influence business results.
• Exceptional organizational skills, attention to detail, and the ability to work independently.

Required Skills

• Data Analysis
• Data Visualization
• SQL
• SAS
• R (programming language)
• SPSS
• Python (programming language)
• VBA
• Tableau
• Power BI
• Business Analysis
• Business Intelligence (BI)
• Machine Learning
• Statistics
• A/B Testing
• Digital Marketing
• E-commerce
• Negotiation Skills
• Communication Skills
• Organizational Skills
• Attention to Detail

Work Environment and Location

This is a full-time position based in Bangkok. Relocation assistance is provided for this role.

About the Role

Genius Sports, a global sports technology company, is seeking individuals to join their team as Sports Data Collectors (Sports Scouts). This role involves attending live sporting events and collecting real-time, play-by-play data using proprietary software. This is an entry-level position offered on an Independent Contractor basis, with compensation provided per game, offering a flexible work arrangement.

Role Context and Location

As a Sports Data Collector, you will be responsible for capturing essential game data from live events. The role is based in Al Khurmah, Makkah, Saudi Arabia. This position is structured as a Full-time Independent Contractor role.

Key Responsibilities

• Attend live sports events, including Saudi Pro League and other competitions, in your local area.
• Record accurate, real-time game data, such as scores and key events.
• Utilize mobile technology effectively in a live environment to capture data.

Qualifications and Requirements

• A strong knowledge of football (soccer) is essential.
• Must be reliable, detail-oriented, and organized.
• Availability to work evenings and weekends is required.
• Experience required is 0-1 years.

Required Skills

• Proficiency in sports data collection techniques.
• Experience with real-time data recording.
• Competence in using mobile technology for data capture.
• Demonstrated reliability, attention to detail, and organizational skills.

Additional Information

Training and testing will be provided to ensure candidates are equipped for the role. Compensation is structured as a fixed payment of 55 € per game. Genius Sports is an equal opportunities employer.

About the Role

Genius Sports, a global sports technology company, is looking for passionate individuals to join their team as Sports Data Collectors (Sports Scouts) in Rabigh, Saudi Arabia. This role offers an opportunity to collect live, real-time data from sporting events, contributing to providing major leagues, federations, and media platforms with official data.

Nature of Work and Responsibilities

As an independent contractor, you will be paid per match, offering a flexible work arrangement that suits your availability. Key responsibilities include attending live sporting events in your local area, including the Saudi Professional League and less prominent competitions. You will record accurate and immediate match data, such as scores, plays, and key events, using mobile technology effectively in a fast-paced environment.

Essential Qualifications

A strong understanding of football is essential for this role. Candidates must be reliable, detail-oriented, and organized. The role also requires availability to work evenings and weekends. All CVs must be submitted in English.

Required Skills

• Sports data collection
• Real-time data collection
• Proficiency in mobile technology
• Deep understanding of football
• Reliability
• Attention to detail
• Organizational skills

Additional Opportunity Information

Genius Sports is committed to providing the necessary training and testing for this role. There is an opportunity for increased earnings based on performance. Payment is per match, at a rate of €55 per match. The job is located in Rabigh, Makkah Province, Saudi Arabia. Genius Sports is an equal opportunity employer.

Join Genius Sports as a Sports Data Collector!
Are you passionate about sports? Turn your enthusiasm into a rewarding opportunity with Genius Sports, a leading global sports technology company.

Role Overview:
As a Sports Data Collector (Sports Scout), you will attend live sporting events within the Saudi Second Division and lower competitions, collecting real-time play-by-play data using our proprietary software.

Key Responsibilities:

• Attend live sports events in your local area.
• Record accurate and real-time game data, including scores, plays, and key events.
• Utilize mobile technology efficiently in a fast-paced environment.

Requirements:

• Strong knowledge of the sport.
• Detail-oriented, reliable, and organized.
• Availability during evenings and weekends.
• Applicants must be 18 years or older.

What We Offer:

• Competitive fixed payment per game - 55 €.
• Flexible, game-based work.
• Comprehensive training and testing provided.
• Potential to increase earnings based on performance.

If you are interested in joining our network, please submit your application and we will get back to you soon!

About the Role

Agoda, a part of Booking Holdings and a leading global travel platform, is seeking a Senior Analyst/Associate Manager for Strategic Partnerships. This role is based in Bangkok, with relocation assistance provided. You will join the Strategy & Analytics team within the Strategic Partnerships department, which focuses on developing and scaling marketing solutions for accommodation partners. The team's responsibilities include business development, sales, project management, contracting, risk assessment, collections, product development, and data analytics, all aimed at driving partner growth, visibility, and conversion.

This position offers an opportunity to utilize data and technology to influence the travel industry. You will analyze performance, develop strategic initiatives, and build tools to optimize operations and achieve business objectives in a dynamic environment.

Key Responsibilities

• Analyze data from supply and supply teams to create performance tracking and optimization models, providing actionable recommendations.
• Support and participate in strategic projects, contributing insights to initiatives aimed at achieving business targets.
• Execute and assess proposed actions in collaboration with relevant teams to ensure project success.
• Develop and deliver dashboards, automated reports, calculators, and data feeds to enhance product and operational processes.

Qualifications and Requirements

• A Bachelor's Degree or higher from a top university in a business analytics, engineering, statistics, quantitative, data, or finance subject (*, BI, science, math, or financial analysis).
• A minimum of 4 years of experience in business analysis, data analytics, business intelligence, consulting, or financial modeling roles within e-commerce, tech, consulting, or financial services companies.
• Fluent communication skills in English.
• Proven ability to use data to measure performance, build reports and tools, and inform decision-making.
• Demonstrated intellectual curiosity and the capacity for rapid learning.
• Ability to perform effectively under pressure in a fast-paced and rapidly changing environment.

Required Skills

• Performance tracking and modeling
• Data analysis
• Business development and sales
• Project management
• Risk assessment
• Data analytics
• Proficiency in SQL, Tableau, and advanced Excel skills, demonstrated through practical project experience.
• Experience with complex analytics and statistical/machine learning techniques (experience with R, Python, or Spark is advantageous).
• Experience building automated analytical processes and functionality is considered a plus.

Additional Information

A Master's degree or MBA is considered a plus. The role is full-time. Relocation assistance is provided for candidates relocating to Bangkok.

About the Role

Al-Ahli Club Company is seeking a Commercial Intelligence Senior Specialist to join its Partnerships department in Jeddah, Makkah, Saudi Arabia. This role is designed to drive data-informed commercial strategies by transforming market data, competitive insights, partner analysis, and internal performance metrics into actionable intelligence. The Commercial Intelligence Senior Specialist will guide partner targeting, optimize deal structures, and maximize revenue, ensuring partnership opportunities are supported by robust research, clear valuation, and measurable outcomes. This position contributes to the Club's growth and success by fostering stronger, smarter, and more profitable commercial relationships.

Working closely with the Sales and Client Servicing teams, the Senior Specialist will provide analytical support to enhance decision-making across the commercial function. This role requires a proactive approach to identifying market opportunities, understanding partner needs, and articulating the value proposition of Al-Ahli Club's commercial assets.

Key Responsibilities

• Lead comprehensive market benchmarking initiatives, nationally and internationally, to establish best-in-class pricing models, sponsorship structures, and partnership standards.
• Analyze the Club's partnership asset inventory and map it against market demand and competitor positioning to identify gaps and growth opportunities.
• Define and prioritize target sectors and potential partners based on opportunity sizing, strategic fit, and revenue potential.
• Build detailed partner profiles and develop sector-specific value propositions that articulate the Club's commercial offering.
• Prepare Return on Investment (ROI) reports, partnership performance dashboards, and post-campaign analyses to measure partnership effectiveness and return.
• Provide ongoing analytical support for partner communications, renewal discussions, and upselling strategies.
• Collaborate with the Senior Sales Manager and Sales Manager to ensure pipeline decisions are data-driven and informed by market intelligence.
• Monitor industry trends, fan engagement metrics, and macro-economic indicators to refine the Club's commercial positioning.

Qualifications and Requirements

• A Bachelor's degree in Business Administration, Marketing, Finance, Data Analytics, or a related field is required.
• 5 to 7 years of experience in business intelligence, market research, or commercial analytics. Experience within the sports, entertainment, or media industries is preferred.
• A proven track record of producing actionable insights that have influenced commercial strategy or deal-making processes.
• Experience working with Customer Relationship Management (CRM) platforms, data visualization tools such as Power BI and Tableau, and advanced proficiency in Microsoft Excel.
• Previous exposure to partnership or sponsorship environments is highly desirable.

Required Skills

• Strong analytical and critical thinking skills with the ability to translate complex data into clear narratives.
• Excellent presentation and report-writing abilities, with confidence in presenting findings to senior leadership.
• Proficiency in data visualization tools such as Power BI, Tableau, or equivalent platforms.
• Advanced proficiency in data analysis tools and platforms.
• Strong attention to detail coupled with a proactive, solution-oriented mindset.
• Effective communication skills, capable of bridging the gap between data teams and commercial stakeholders.
• Ability to thrive in a fast-paced, high-performance sports environment.
• Fluency in both Arabic and English is required.

Work Environment and Additional Information

This is a full-time position based in Jeddah, Makkah, Saudi Arabia. The role requires 5-10 years of relevant experience.