103 Data Analytics jobs in Saudi Arabia

We are looking for professionals with practical experience in data analytics, business intelligence, or data visualization, ideal candidates with hands-on exposure to data visualization tools and strong understanding of data preparation, modeling, and reporting best practices.

Key Responsibilities:

• Collect, analyze, and interpret large datasets to uncover trends and opportunities.
• Develop interactive dashboards and reports using leading visualization tools (Power BI, Tableau, or similar).
• Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
• Present insights in a clear, engaging, and actionable manner for both technical and non-technical stakeholders.
• Ensure data accuracy, integrity, and consistency across all analytics and reporting outputs.

Qualifications and Certification :

• Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Business Analytics, or a related field.
• Proficiency in SQL and data visualization platforms (Power BI, Tableau, Qlik, etc.).
• Professional certifications in data analysis and data visualization is preferred

Role Purpose:

Support the Data & Analytics team by assisting in the preparation, analysis, and reporting of key datasets, dashboards, and projects. The trainee will gain hands-on experience in data analytics, reporting, and business insights while working with different departments.

Key Accountabilities:

1- Reporting & Analytics:

• Assist in preparing and maintaining periodic data reports and dashboards related to business performance, claims, and operational metrics.
• Support in cleaning, validating, and analyzing large datasets to ensure accuracy for regulatory and internal reporting.
• Contribute to preparing analytical reports for quarterly reviews, audits, and management updates.

2- Project:

• Participate in ongoing data analytics projects, including automation of reporting processes and visualization improvements.
• Attend project meetings and follow up on assigned data-related tasks and pending actions.
• Support in developing insights from data to improve decision-making.

3- Adhoc Analysis:

• Assist in preparing presentations, visualizations, and summaries for management using data-driven insights.
• Support ad-hoc analytical requests from Risk, Finance, and other business units.

• Strong quantitative and analytical skills.
• Knowledge of data analytics concepts, descriptive and predictive analysis.
• Proficiency in Excel (intermediate to advanced).
• Exposure to data visualization tools (Power BI, Tableau, etc.) is a plus.
• Basic understanding of SQL, Python, or R for data analysis is preferred.
• High English language proficiency and strong communication skills.

Data Analytics, Statistics, Mathematics, Finance, Computer Science, or related fields

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:

• Collect, clean, and analyze data from various sources to identify trends and patterns.
• Develop and implement analytical models to evaluate business performance.
• Create comprehensive reports and dashboards that summarize findings and insights for stakeholders.
• Work closely with teams to determine data needs and provide analytical solutions.
• Use statistical methods to derive insights and predict future trends.
• Ensure the accuracy and integrity of data through rigorous validation and quality checks.
• 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.

Requirements

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

About Alrajhi Takaful:

Al Rajhi Takaful is fully committed to providing you with first class, Shariah compliant solutions that are fully aligned to the Kingdom's 2030 Vision. We aim to protect all our customers, and fulfil their dreams, hopes and ambitions. All our policies provide customers with state-of-the art solutions and come with the support of a team of dedicated, professional and experienced insurance industry.

The Job Title:

Data Analytics & Budgeting Lead

Job Description:

To lead and manage data analytics and budgeting functions across the organization by providing strategic insights, accurate forecasting, and actionable reports that drive informed decision-making. This role ensures the integration of advanced data analysis techniques and robust financial planning to support business growth, operational efficiency, and alignment with ART objectives.

Key Responsibilities:

• Lead the development and execution of data-driven marketing analytics strategies to evaluate the performance and impact of marketing campaigns and initiatives.
• Manage the full marketing budgeting cycle, including budget allocation, forecasting, tracking actual spending, and analyzing variances.
• Oversee the creation and automation of marketing dashboards and performance reports (e.g., ROI, conversion, reach) to support strategic marketing decisions.
• Collaborate closely with finance and product teams to ensure budget alignment with marketing goals and business priorities.
• Analyze campaign performance data to determine success metrics, identify optimization opportunities, and provide actionable recommendations.
• Monitor key marketing KPIs and develop models to measure customer acquisition, engagement, retention, and overall marketing effectiveness.
• Lead efforts in marketing data governance, ensuring compliance with data privacy regulations and ART
  standards.
• Coach and mentor junior analysts on marketing analytics tools, techniques, and budget planning best practices.

Qualifications:

• Bachelor's degree
• 5-7 Years in relevant field.

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ROLE MAIN PURPOSE: Will be responsible to provide operational expertise to execute and implement the collection, analysis, and presentation of data related to IT operations, projects, and initiatives and working closely with IT teams to gather requirements, design reporting solutions, and provide valuable insights to support strategic decision-making.

• Support to conduct the analysis of IT-related data to identify trends, patterns, and insights.
• Utilize data analytics tools and techniques to analyse complex datasets.
• Maintain data visualizations, dashboards, and reports that effectively communicate key IT metrics and performance indicators.
• Apply statistical analysis and data modelling to support decision-making.
• Collaborate with IT teams and business stakeholders to understand reporting needs and requirements.
• Implement a comprehensive reporting framework for IT-related metrics and performance indicators.
• Maintain standardized reporting templates, formats, and schedules.
• Support to automate reporting processes to improve efficiency and ensure timely delivery of reports.
• Ensure the accuracy and integrity of the data used for reporting.
• Assist in track key performance indicators (KPIs) and metrics to assess IT performance and effectiveness.
• Analyse IT service levels, system availability, incident response, and other performance indicators.
• Identify areas of improvement and propose recommendations to optimize IT operations and processes.
• Collaborate with IT teams to establish performance targets and monitor progress towards achieving them.
• Provide insights and recommendations based on data analysis to support IT decision-making.
• Support in establishing data governance policies, standards, and procedures for IT-related data.
• Ensure compliance with data privacy regulations and industry best practices.
• Collaborate with IT teams to implement data quality controls, data cleansing, and data integration processes.
• Oversee data management activities, including data integration, data warehousing, and metadata management.

• Educational Qualifications: A Bachelor’s in Computer Science, Information Technology or a related field.
• Professional And Technical Certificates: ITIL (Information Technology Infrastructure Library), Certified Data Management Professional (CDMP), BI certifications, PMP are preferable.
• Professional Experience: Minimum 5+ years’ experience as IT data and analysis.

• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).
• Knowledge with statistical analysis software packages like SPSS, SAS, or Stata for advanced statistical analysis, hypothesis testing, and predictive modelling.
• Knowledge in data visualization tools such as Tableau, Power BI, or QlikView to create dashboards and reports.
• Knowledge of DBMS platforms like Oracle, MySQL, or Microsoft SQL Server; SQL querying skills.
• Familiarity with data warehousing concepts and technologies like ETL, data integration, and dimensional modelling.
• Knowledge of cloud platforms like AWS, Azure, or GCP.

• Mid-Senior level

• Full-time

• Information Technology

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Overview

Will be responsible to provide operational expertise to execute and implement the collection, analysis, and presentation of data related to IT operations, projects, and initiatives and working closely with IT teams to gather requirements, design reporting solutions, and provide valuable insights to support strategic decision-making.

• Support to Conduct the analysis of IT-related data to identify trends, patterns, and insights.
• Utilize data analytics tools and techniques to analyse complex datasets.
• Maintain data visualizations, dashboards, and reports that effectively communicate key IT metrics and performance indicators.
• Apply statistical analysis and data modelling to support decision-making.
• Collaborate with IT teams and business stakeholders to understand reporting needs and requirements.
• Implement a comprehensive reporting framework for IT-related metrics and performance indicators.
• Maintain standardized reporting templates, formats, and schedules.
• Support to automate reporting processes to improve efficiency and ensure timely delivery of reports.
• Ensure the accuracy and integrity of the data used for reporting.
• Assist in Track key performance indicators (KPIs) and metrics to assess IT performance and effectiveness.
• Analyse IT service levels, system availability, incident response, and other performance indicators.
• Identify areas of improvement and propose recommendations to optimize IT operations and processes.
• Collaborate with IT teams to establish performance targets and monitor progress towards achieving them.
• Provide insights and recommendations based on data analysis to support IT decision-making.
• Support in establish data governance policies, standards, and procedures for IT-related data.
• Ensure compliance with data privacy regulations and industry best practices.
• Collaborate with IT teams to implement data quality controls, data cleansing, and data integration processes.
• Oversee data management activities, including data integration, data warehousing, and metadata management

A Bachelor’s in Computer Science, Information Technology or a related field.

ITIL (Information Technology Infrastructure Library), Certified Data Management Professional (CDMP), BI certifications, PMP are preferable.

Minimum 5+ years’ experience as IT data and analysis.

• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook), as these are commonly used tools in business operations.
• Knowledge with statistical analysis software packages like SPSS, SAS, or Stata to perform advanced statistical analysis, hypothesis testing, and predictive modelling.
• Knowledge in data visualization tools such as Tableau, Power BI, or QlikView to create interactive and visually appealing dashboards and reports for data analysis and presentation.
• Knowledge of DBMS platforms like Oracle, MySQL, or Microsoft SQL Server for effective data storage, retrieval, and management. Understanding of database querying languages like SQL is crucial for data analysis.
• Familiarity with data warehousing concepts and technologies like ETL (Extract, Transform, Load) processes, data integration, and dimensional modelling. This skill enables the design and management of data repositories optimized for analysis.
• Knowledge of cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Understanding how to leverage cloud-based infrastructure and services for data analysis enhances scalability and flexibility.

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.

Overview

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.

• 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

• 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 posting start date: 07/10/2025

Job posting end date: 12/31/2025

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.

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.