159 Data Analytics jobs in Saudi Arabia

Master-Works is seeking a forward-thinking Data Analytics professional to join our talented team. In this role, you will be responsible for analyzing complex data sets to uncover valuable insights that drive business strategies and operational improvements. Your expertise in data analysis will play a vital role in enhancing our data-driven culture and informing decision-making processes across the organization.

Key Responsibilities:

1. Collect, clean, and analyze data from various sources to identify trends and patterns.
2. Develop and implement analytical models to evaluate business performance.
3. Create comprehensive reports and dashboards that summarize findings and insights for stakeholders.
4. Work closely with teams to determine data needs and provide analytical solutions.
5. Use statistical methods to derive insights and predict future trends.
6. Ensure the accuracy and integrity of data through rigorous validation and quality checks.
7. Communicate analytical results effectively to both technical and non-technical audiences.

Join us at Master-Works and leverage data analytics to make meaningful contributions that enhance our clients' success and drive our business forward.

Minimum Requirements:

1. Bachelor's degree in Data Science, Mathematics, Business Analytics, or a related field.
2. 2+ years of experience in data analysis or analytics.
3. Proficient in SQL and data visualization tools such as Tableau or Power BI.
4. Strong understanding of statistical analysis and experience with data modeling.
5. Excellent analytical and problem-solving skills.
6. Strong communication skills, with the ability to explain complex data concepts to diverse audiences.
7. A detail-oriented professional with a passion for data-driven decision making.

Aramco energizes the world economy.

Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a ’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

Position description

We are seeking Data Analytics Specialist to join our Digital Engineering Solutions Division under Process & Control Systems Department.

Process and Control Systems Department provides services in the field of process engineering, automation, new energy and digitalization to various entities within Aramco.

As a Data Analytics Engineer your role will be to lead innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. You will identify and solve strategic and tactical analytic business problems to enhance operational efficiency.

Duties and Responsibilities

As a successful candidate you will be required to perform the following:

• Identify and develop advanced analytics use cases to resolve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety.
• Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices.
• Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling.
• Explore diverse data sources to improve predictive modeling and optimize business strategies.
• Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making.
• Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies.
• Generate documentation in line with established standards to support the development and deployment process.
• Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions.
• Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques.
• Publish research papers for peer-reviewed journals and presents findings to other organizations and conferences to advance industry knowledge.
• Promotes a learning environment through knowledge-sharing, and fosters a culture of continuous learning and innovation.
• Provide leadership and mentorship to junior team members and specialists.

Minimum Requirements

As a successful candidate you will hold a:

• Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. An advanced degree (Master’s or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly .
• 20 years of overall experience, with hands-on experience in Data Science, Natural Processing (NLP), Computer Vision, and/or ML projects in the industry.
• Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation.
• Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge.
• Proficiency in Platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI).
• Expertise in visualization tools and packages; User Interface (UI) experience with Power Business Intelligence (Power BI) or similar tools.
• Experience with IT architecture and deploying models in on-prem environments.
• Strong understanding of continuous integration / continuous deployment (CI/CD) pipelines, containerization (Docker, Kubernetes), and automation frameworks.
• Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers.

Job Post Duration

Job posting start date: 07/10/2025

Job posting end date: 12/31/2025

Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

Position: Data Analytics Specialist

We are seeking a Data Analytics Specialist to join our Digital Engineering Solutions Division under the Process & Control Systems Department at Aramco.

The Process and Control Systems Department provides services in process engineering, automation, new energy, and digitalization to various entities within Aramco.

As a Data Analytics Engineer, your role will be to lead innovation by utilizing data assets and analytics to create additional value, identifying and solving strategic and tactical business problems to improve operational efficiency.

Responsibilities include:

1. Developing advanced analytics use cases to address technical challenges, optimize processes, and enhance safety and environmental sustainability.
2. Implementing Machine Learning Operations (MLOps) and Development Operations (DevOps) practices to bring ideas from conception to production.
3. Developing and deploying Machine Learning models and pipelines, ensuring their monitoring and scalability.
4. Exploring diverse data sources to improve predictive models and business strategies.
5. Evaluating AI tools and methods for data analysis to improve decision-making.
6. Applying predictive modeling techniques to optimize production and operational efficiencies.
7. Documenting processes according to standards to support development and deployment.
8. Collaborating with cross-functional teams including IT, engineering, and business stakeholders.
9. Participating in technical task forces to investigate incidents using AI/ML techniques.
10. Publishing research and presenting findings at conferences to advance industry knowledge.
11. Fostering a culture of continuous learning and innovation.
12. Providing leadership and mentorship to junior team members.

Minimum Requirements:

1. Bachelor’s degree in Data Science, Computer Science, Engineering, or related field; an advanced degree (Master’s or PhD) is highly preferred.
2. 20 years of experience in Data Science, NLP, Computer Vision, or ML projects.
3. Expertise in MLOps, DevOps, AIOps, DataOps, and model deployment frameworks.
4. Experience in data preprocessing, wrangling, and industry-related problem solving.
5. Proficiency with platforms such as Python, R, SQL, SAS, Scala, and cloud services like Azure and Google Cloud.
6. Skills in visualization tools and UI experience with Power BI or similar.
7. Knowledge of IT architecture, containerization (Docker, Kubernetes), and automation frameworks.
8. Ability to publish research or contribute to industry publications.

Job Posting Duration:

Start Date: 07/10/2025

End Date: 12/31/2025

Working Environment:

Our employees are engaged in world-scale projects, supported by investments in capital and technology. We prioritize talent development through extensive training and workforce development programs, encouraging continuous improvement of sector-specific skills.

In this role, you will have the opportunity to work closely with one of our esteemed clients. This client is a global leader in the Diversified Portfolio, known for its commitment to quality and innovation. They have chosen Dautom as their trusted partner for their upcoming projects.

Job Title: Data Analytics Specialist

Job Description:

1. Analyses and revises information and data initiatives including database structure, ETL processes, and external data interfaces.
2. Design and Development of ETL processes based on the requirements.
3. Excellent experience in using Informatica, PowerCenter and Microsoft SSIS ETL tools.
4. Develop Program Units (such as Stored Procedures, Packages) required for the ETL process.
5. Exceptional knowledge of using Microsoft Office products especially Word, Excel, Outlook, Access, PowerPoint.
6. Interact with the other departments to understand and identify data needs and requirements and work with other members of the IT organization to deliver ETL solution to address those needs.
7. Provide third-level support for production Data Integration environment.
8. Monitor performance of all Data Integration systems; provide ongoing performance tuning, review logs, clean temp files and all other administrative issues required to ensure applications and databases are performing efficiently.
9. Must possess excellent organizational skills, be detail oriented with an ability to meet critical deadlines.
10. Excellent communication (oral/written) skills with respect to team members, peers, and staff at all levels of the organization.
11. Has ability to work both independently and as part of a team.

Qualifications:

Bachelor's Degree required in Computer Science or equivalent (a combination of education and experience will be considered). High level interpersonal skills and communication skills both written and oral.

Experience:

1. A minimum of 10 years hands-on experience working with database and ETL technologies and architectures; including both logical and physical designs, data mart creation, ETL tools, loaders and development and reporting tools is preferable. This experience should include influencing global data architecture directions and defining major data architecture related technology standards.
2. A minimum of 10 years experience with implementation of ETL processes using Informatica PowerCenter and Microsoft SSIS tools.
3. A minimum of 7 years experience writing Oracle & SQL Server stored procedures and packages.
4. A minimum of 7 years hands-on experience in various data definition and modelling projects and demonstrated capabilities in carrying best practices and common objects/components to other projects is required.

Skills:

1. Strong expertise in Data Integration and ETL methodologies and concepts.
2. Strong expertise in Informatica and Microsoft SSIS ETL tools.
3. Strong expertise in database design and database development.
4. Experience in real time/near real time data integration.
5. Experience with development processes and production release management; application and database tuning and interdependencies on operating system configuration is highly desired.
6. Must possess excellent organizational skills, be detail oriented with an ability to meet critical deadlines.
7. Exceptional knowledge of using Microsoft Office products especially Word, Excel, Outlook, Access, PowerPoint.

Dautom is a prominent name across the globe in IT consulting services. With a relentless commitment to innovation and excellence, we empower businesses to bolster their IT teams with top-tier talent. Our greatest asset is our talented team of IT professionals. Our journey towards becoming an employer of choice has been built on a foundation of trust, respect, and unwavering support for our employees' growth and well-being. We take pride in being a great place to work, and we invite you to explore what sets us apart in the world of technology and corporate culture.

Informatica, Objects, Database Design, PowerPoint, Stored Procedures, Interfaces, Consulting, Data Analytics, Components, Architecture, Interpersonal Skills, Analytics, Writing, Integration, Databases, Oracle, Computer Science, Education, SQL, Microsoft Office, Design, Communication, Science, Management.

Position: Data Analytics Specialist

We are seeking a Data Analytics Specialist to join our Digital Engineering Solutions Division under the Process & Control Systems Department.

The Process and Control Systems Department provides services in process engineering, automation, new energy, and digitalization within Aramco.

As a Data Analytics Engineer, your role will be to lead innovation and define how the business creates value through data assets and analytics. You will identify and solve strategic and tactical business problems to improve operational efficiency.

1. Identify and develop advanced analytics use cases to resolve complex challenges, optimize processes, enhance revenue, and improve safety and environmental sustainability.
2. Drive ideas from conception to production using best practices in Machine Learning Operations (MLOps) and Development Operations (DevOps).
3. Develop and optimize ML models and pipelines, ensuring their deployment, monitoring, and scaling.
4. Explore diverse data sources to improve predictive modeling and business strategies.
5. Assess AI tools and methods for data analysis to enhance decision-making.
6. Implement predictive modeling techniques to optimize production and operational efficiencies.
7. Document processes according to standards to support development and deployment.
8. Collaborate with IT, engineering, and business teams to drive data-driven solutions.
9. Contribute to technical task forces on incidents and domain-specific problems using AI/ML techniques.
10. Publish research papers and present findings at conferences to advance industry knowledge.
11. Promote a culture of continuous learning and innovation.
12. Provide leadership and mentorship to junior team members.

1. Bachelor’s degree in Data Science, Computer Science, Engineering, or related field; an advanced degree is highly preferred.
2. 20 years of experience in Data Science, NLP, Computer Vision, or ML projects.
3. Expertise in MLOps, DevOps, AIOps, DataOps, and related frameworks.
4. Experience in data preprocessing, wrangling, and collection.
5. Proficiency in Python, R, SQL, SAS, Scala, and cloud platforms like Azure and Google Cloud.
6. Experience with visualization tools and UI tools like Power BI.
7. Knowledge of IT architecture and model deployment in on-prem environments.
8. Understanding of CI/CD pipelines, containerization, and automation frameworks.
9. Research publication experience or contributions to industry knowledge.

Start Date: 07/10/2025

End Date: 12/31/2025

Our employees are supported by investment in capital and technology, working on world-scale projects. We emphasize talent development through extensive training and workforce development programs.

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We are seeking a highly skilled and detail-oriented Data Analytics Expert to join our team. The ideal candidate will have a strong analytical mindset, deep knowledge of statistical methods, and experience using data to drive strategic decisions. This role will support various departments by transforming raw data into actionable insights, enabling data-driven decision-making across the organization.

Key Responsibilities:

• Analyze complex datasets to identify trends, patterns, and opportunities for improvement or growth.
• Develop dashboards, reports, and visualizations to communicate key insights clearly and effectively.
• Collaborate with cross-functional teams (e.g., Marketing, Finance, Product) to understand their analytical needs and deliver relevant data solutions.
• Design and implement predictive models and machine learning algorithms where appropriate.
• Ensure data accuracy, integrity, and security across different data sources.
• Automate data collection and reporting processes to improve efficiency.
• Provide ad hoc analysis to support decision-making and strategic planning.
• Stay updated with the latest trends and technologies in data analytics and recommend improvements accordingly.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 6+ years of experience in data analytics or a related role.
• Proficiency in data analysis tools and languages such as SQL, Python, R, or SAS.
• Experience with data visualization tools such as Power BI, Tableau, Looker, or Qlik.
• Strong knowledge of data warehousing, ETL processes, and cloud platforms (e.g., AWS, GCP, Azure).
• Excellent problem-solving, communication, and interpersonal skills.
• Ability to explain complex analytical concepts to non-technical stakeholders

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Airlines and Aviation

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Position Objectives

1. Deliver actionable insights through advanced data analysis to support strategic decision-making and business growth.
2. Develop and maintain efficient data pipelines and visualization tools to ensure accurate and accessible reporting.
3. Enhance data-driven processes by leveraging analytics, statistical modeling, and automation for operational excellence.

Job Description & Responsibilities

1. Perform data exploration, cleaning, and transformation to build high-quality datasets for analysis.
2. Design and develop interactive dashboards and reports using BI tools (e.g., Power BI, Tableau) to communicate insights effectively.
3. Conduct statistical analysis and predictive modeling to identify trends, patterns, and business opportunities.
4. Build and optimize ETL pipelines to ensure seamless data flow from diverse sources to analytics platforms.
5. Collaborate with cross-functional teams (e.g., business, IT, data science) to align analytics solutions with organizational goals.
6. Monitor and report on KPIs, providing regular performance updates to stakeholders through clear visualizations and presentations.
7. Automate repetitive analytics tasks to improve efficiency and scalability of reporting processes.
8. Ensure data integrity, security, and compliance with organizational and industry standards.
9. Support ad-hoc analysis requests to address specific business challenges or opportunities.
10. Deliver timely and accurate insights and reports to stakeholders.
11. Improve data pipeline efficiency by reducing processing time and increasing reliability of ETL workflows.
12. Achieve high stakeholder satisfaction through high adoption and positive feedback on dashboards and outputs.

Qualifications & Experience

1. Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
2. 5–10 years of experience in data analytics, business intelligence, or a related role.
3. Proficiency in Python (pandas, numpy), SQL, and BI tools (e.g., Power BI, Tableau).
4. Strong knowledge of ETL processes, data modeling, and database management (e.g., MySQL, PostgreSQL).
5. Experience with statistical analysis, predictive modeling, and data visualization techniques.
6. Familiarity with cloud platforms (e.g., AWS, Azure) and data pipeline tools (e.g., Apache Airflow).
7. Ability to translate complex data insights into clear, actionable recommendations for non-technical stakeholders.
8. Strong problem-solving skills focused on optimizing data workflows and processes.
9. Excellent communication and presentation skills.
10. Collaborative mindset to work with cross-functional teams and align on business objectives.
11. Adaptability to evolving tools, frameworks, and business requirements.
12. English fluency (mandatory); Arabic preferred.

• Mid-Senior level

• Full-time

• Information Technology

• Information Services and Government Administration

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Position: Data Analytics Specialist

We are seeking a Data Analytics Specialist to join our Digital Engineering Solutions Division under the Process & Control Systems Department.

The Process and Control Systems Department provides services in process engineering, automation, new energy, and digitalization within Aramco.

As a Data Analytics Engineer, your role will be to lead innovation and define how the business creates value through data assets and analytics. You will identify and solve strategic and tactical business problems to improve operational efficiency.

1. Identify and develop advanced analytics use cases to resolve complex challenges, optimize processes, enhance revenue, and improve safety and environmental sustainability.
2. Drive ideas from conception to production using best practices in Machine Learning Operations (MLOps) and Development Operations (DevOps).
3. Develop and optimize ML models and pipelines, ensuring their deployment, monitoring, and scaling.
4. Explore diverse data sources to improve predictive modeling and business strategies.
5. Assess AI tools and methods for data analysis to enhance decision-making.
6. Implement predictive modeling techniques to optimize production and operational efficiencies.
7. Document processes according to standards to support development and deployment.
8. Collaborate with IT, engineering, and business teams to drive data-driven solutions.
9. Contribute to technical task forces on incidents and domain-specific problems using AI/ML techniques.
10. Publish research papers and present findings at conferences to advance industry knowledge.
11. Promote a culture of continuous learning and innovation.
12. Provide leadership and mentorship to junior team members.

1. Bachelor's degree in Data Science, Computer Science, Engineering, or related field; an advanced degree is highly preferred.
2. 20 years of experience in Data Science, NLP, Computer Vision, or ML projects.
3. Expertise in MLOps, DevOps, AIOps, DataOps, and related frameworks.
4. Experience in data preprocessing, wrangling, and collection.
5. Proficiency in Python, R, SQL, SAS, Scala, and cloud platforms like Azure and Google Cloud.
6. Experience with visualization tools and UI tools like Power BI.
7. Knowledge of IT architecture and model deployment in on-prem environments.
8. Understanding of CI/CD pipelines, containerization, and automation frameworks.
9. Research publication experience or contributions to industry knowledge.

Start Date: 07/10/2025

End Date: 12/31/2025

Our employees are supported by investment in capital and technology, working on world-scale projects. We emphasize talent development through extensive training and workforce development programs.

In this position, you will manage actuarial and quantitative analysis projects, collaborating with both junior and senior staff to model and forecast risk and financial impact. You will play a key role in delivering regular claims analysis reports and presenting findings to clients, ensuring high-quality standards throughout the process.

We will count on you to:

Manage basic actuarial and quantitative analysis projects, guiding junior staff and collaborating on complex projects.

Deliver regular claims analysis reports in line with cyclical commitments, often under tight deadlines.

Present final reports and propose solutions to clients, incorporating input from senior staff.

Conduct peer reviews of junior staff analyses to ensure adherence to established standards and quality control.

Perform data analysis on complex projects using Excel or PowerBI, customizing models based on client needs and regulations.

Develop intellectual capital by researching regulatory requirements and updating modeling templates to enhance company offerings.

What you need to have:

A strong background in actua rial science, quantitative analysis, or a related field.

Proficiency in Excel and PowerBI, with experience in data analysis and modeling.

Excellent communication skills for client engagement and presentation of findings.

What makes you stand out?

Experience in the Employee Health & Benefits (EH&B) sector or similar analytics and advisory services.

Familiarity with industry benchmarking and regulatory requirements.

A proactive approach to identifying business growth opportunities and networking within the industry.

Why join our team:

We help you be your best through professional development opportunities, interesting work, and supportive leaders.

We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact on colleagues, clients, and communities.

Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Company Industry

• Consulting
• Management Consulting
• Advisory Services

Department / Functional Area

• IT Software

Keywords

• Manager
• EH&B Data Analytics & Reporting

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