74 Data Mining 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.

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.

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.

Join to apply for the Data Analytics Specialist role at Norconsult Telematics .

Direct message the job poster from Norconsult Telematics.

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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Get notified about new Data Specialist jobs in Riyadh, Saudi Arabia .

SWATX is on the lookout for a skilled Data Analytics Solutions Specialist to enhance our data-driven decision-making capabilities. The successful candidate will be pivotal in analyzing complex datasets and delivering actionable insights that influence strategic initiatives. You will collaborate closely with both technical and non-technical stakeholders to develop data analytics solutions that support our business objectives.

Responsibilities:

• Analyze and interpret complex data sets to derive meaningful insights and recommendations
• Create data visualization and reporting dashboards to effectively communicate findings to stakeholders
• Collaborate with cross-functional teams to tailor analytics solutions to specific business needs
• Implement data-driven strategies to enhance business performance and operational efficiency
• Conduct data quality assessments and verify data accuracy to maintain data integrity
• Utilize statistical techniques to analyze trends and patterns in data
• Stay current with emerging trends and technologies in the analytics space
• Provide training and support to team members on analytics tools and methodologies
  
  

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
• Proven experience in data analytics or a similar analytical role
• Proficiency in analytics tools such as Tableau, Power BI, or similar software
• Strong skills in SQL and experience with data manipulation and database management
• Knowledge of programming languages such as Python or R for statistical analysis
• Excellent problem-solving skills with a keen attention to detail
• Strong communication skills, capable of presenting complex information in an understandable format
• Ability to work collaboratively in a team-oriented environment
• Knowledge of machine learning concepts is a plus
  
  

• Master's degree in a relevant field
• Experience in a business intelligence or data visualization role
• Certifications in data analytics or business intelligence (e.g., Certified Business Analysis Professional)

SWATX is seeking a highly skilled Data Analytics Solutions Architect to join our innovative team. In this pivotal role, you will design and implement robust analytics solutions that enable effective data-driven decision-making across the organization. You will work closely with stakeholders to understand their analytics needs, architect complex data systems, and guide the implementation of advanced analytics frameworks that deliver actionable insights and drive business growth.

Responsibilities:

• Design and develop scalable data architecture and frameworks that support analytics initiatives
• Collaborate with business units to translate their requirements into technical solutions
• Provide technical leadership in the deployment of analytics platforms and tools
• Ensure data integrity, quality, and security across analytics systems
• Mentor and guide data analysts and other technical staff on best practices in analytics and data science
• Stay abreast of industry trends and emerging technologies to enhance analytics capabilities
• Develop and maintain documentation of architecture designs, processes, and analytics best practices
  
  

• Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field
• Proven experience as a Data Architect or Solutions Architect with a focus on data analytics
• Strong experience in data modeling, ETL processes, and data warehousing concepts
• Proficiency in analytics tools such as Tableau, Power BI, or similar platforms
• Deep understanding of SQL and database management systems
• Experience with programming languages like Python or R for data processing and analysis
• Excellent analytical and problem-solving skills, with a strong attention to detail
• Strong communication skills to effectively collaborate with both technical and non-technical stakeholders
• Ability to lead projects and mentor team members in best practices
  
  

• Master's degree in a relevant field
• Experience in deploying analytics solutions in cloud environments (e.g., AWS, Azure)
• Relevant certifications in data architecture or data analytics (e.g., Microsoft Certified: Azure Solutions Architect)

• Seniority level Not Applicable

• Employment type Contract

• Job function Information Technology
• Industries IT Services and IT Consulting

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Riyadh, Riyadh, Saudi Arabia 23 hours ago

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We are seeking a Senior Manager of Data Analytics with deep experience in data science, data warehousing and BI. This role will lead a team of data analysts and analytics engineers, shaping the direction of our data strategy and ensuring that business decisions are powered by reliable, scalable data infrastructure. You’ll be instrumental in driving data maturity across the company — balancing quick business wins with long-term architectural investments.

Responsibilities

• Lead and mentor a cross-functional team of analytics engineers, data engineers and data scientist
• Oversee the development of the data warehouse and transformation layer (e.g., dbt)
• Define the vision for how data is structured, accessed, and used across the organization, ensuring alignment with business objectives
• Partner with product, engineering, and business stakeholders to deliver impactful insights and scalable data products
• Own key initiatives such as self-serve analytics, metric standardization, and data quality frameworks
• Establish best practices for data governance, reporting, and visualization
• Drive the adoption of self-service analytics tools to democratize data access and empower stakeholders across the organization
• Build operational excellence within the data team through process improvements, best practices, and training
• Contribute to hiring and team growth by attracting and developing top data analytics talent