90 Reporting Analyst jobs in Saudi Arabia

• Review Telco Portfolio’s KPIs and targets and ensure their linkage to the stc NEW MARKETS integrated annual business plan and overall stc Group strategic objectives.
• Ensure financial targets are properly cascaded across stc NEW MARKETS TelCo related subsidiaries and OpCos
• Prepare monthly, quarterly and annual reports of related portfolio for stc NEW MARKETS management and stc Group management
• Monitor product success over the entire lifecycle of the product and understanding the market and market needs in collaboration with New Markets Business Expansion
• Monitor performance KPIs of stc New Markets related to TelCo for subsidiaries and OpCos roadmap to ensure achieving target stc business strategies
• Manage all official information flows with TelCo related subsidiaries and OpCos in respect to portfolio management
• Conduct in-depth analysis and investigations to track and address major issues identified in any aspect of the business, if there is any.
• Develop market and competitor performance forecasts and points of view and assess impact on TelCo Portfolio's performance
• Track and report on the strategic initiatives implementation progress, and facilitate implementation
  
  

A leading Talent Acquisition Company is seeking a dedicated Reporting Analyst to join our innovative team. In this role, you will facilitate the transformation of data into actionable insights through comprehensive reporting and analysis. You will work closely with various stakeholders to ensure data integrity and support informed decision-making processes.

• Develop and maintain easy-to-understand reports and dashboards that provide insights into business performance.
• Extract, analyze, and interpret complex data sets to present findings clearly and concisely.
• Collaborate with cross-functional teams to gather requirements and understand their reporting needs.
• Monitor key performance indicators (KPIs) and note trends over time to identify opportunities for improvement.
• Ensure accuracy of reports and troubleshoot issues with data or reporting processes.
• Conduct ad-hoc analyses to support strategic initiatives and business objectives.
• Provide training and guidance to team members on report interpretation and usage.

• Bachelor's degree in Business, Statistics, Data Science, or a related field.
• 3+ years of experience in a reporting or data analysis role.
• Proficiency in data visualization tools, such as Power BI or Tableau.
• Strong knowledge of SQL for data extraction and manipulation.
• Excellent analytical skills with the ability to turn data into actionable insights.
• Strong attention to detail and commitment to data accuracy.
• Effective communication skills, both written and verbal.
• Ability to work collaboratively across teams and manage multiple priorities effectively.

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.

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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