55 Analytics Intern 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.

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.

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.

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.

Join to apply for the Web Analytics Specialist role at ABYAT

Join to apply for the Web Analytics Specialist role at ABYAT

Date: Jul 30, 2025

Location:

Riyadh, SA

Job Description:

Join the Team at ABYAT – Your Gateway to Retail Excellence!

About Us

Are you ready to be part of the largest retail store in the Middle East? ABYAT, spanning an impressive 22,000 square meters and offering over 22,000 products, is your one-stop destination for all things home improvement and more. From elegant tiles and captivating wallpapers to state-of-the-art lighting solutions and stylish kitchen fixtures, we pride ourselves on offering a diverse array of top-quality products under one roof.

Established locally with a vision for excellence, ABYAT has been setting benchmarks since its inception in September 2005. With an unwavering focus on our customers, we've crafted an experience that revolves around their needs, from our meticulously designed store layouts to our unparalleled service offerings.

Expanding beyond our roots in Kuwait, ABYAT is now making waves in Saudi Arabia and setting our sights on Qatar and the UAE. As we continue to grow, we're seeking passionate individuals to join our dynamic team and contribute to our journey of success.

Position: Web Analytics Specialist

Location: Riyadh – Head Office

Department: Omni Team

Reports to: Head of Omni

Type: Full-time

Role Purpose

As a Web Analytics Specialist at ABYAT, you will play a key role in shaping our ECommerce analytics strategy. Your insights will drive performance enhancements, improve customer journeys, and empower data-driven decision-making across our digital platforms. This is your chance to bring together analytical excellence and business acumen to influence outcomes at scale.

Job Description

Site Performance & Conversion Optimization

• Own the performance analysis of ABYAT’s ECommerce sites.
• Identify and recommend opportunities to increase conversion rates and maximize revenue.
• Track and optimize micro-conversions to enhance user flows and streamline the path to purchase.
  
  

• Design and implement a robust measurement framework to support both site and cross-functional teams.
• Provide actionable insights and strategic recommendations based on site analytics and key business drivers.
• Analyze the impact of content, features, and campaigns on customer behavior and business outcomes.
  
  

• Work closely with the Marketing Analytics team to connect campaign performance with user behavior.
• Support the transition to a multi-touch attribution model.
• Partner with the Data Analytics team to build and maintain real-time dashboards for key KPIs.
  
  

• Stay ahead of industry trends, tools, and methodologies.
• Drive the continuous evolution of ABYAT’s web analytics capabilities through innovation and best practices.
• Apply A/B testing and web performance optimization techniques to improve digital experiences.
  
  

• Minimum of 4 years of experience in web/digital analytics, ideally within an ECommerce setting.
• Expertise in Google Analytics (GA4), including tagging and tracking implementation.
• Strong understanding of user behavior analysis and conversion funnels.
• Hands-on experience with multi-touch attribution models.
• Proficient in A/B testing and web performance optimization.
• Skilled in data visualization tools such as Tableau, Looker, or similar platforms.
• Advanced proficiency in Excel and SQL for data modeling and manipulation.
• Excellent analytical thinking and problem-solving skills.
• Strong communication and storytelling abilities, especially in translating complex data into impactful narratives.
• Self-starter with excellent organizational skills and adaptability in a dynamic environment.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Research, Analyst, and Information Technology
• Industries Retail

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Riyadh, Riyadh, Saudi Arabia 18 hours ago

Riyadh, Riyadh, Saudi Arabia 20 hours ago

Riyadh, Riyadh, Saudi Arabia 17 hours ago

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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.

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.

Senior Associate - Reporting & Analytics at Six Flags Qiddiya City and Aquarabia will play a crucial role in transforming data into actionable insights. This position involves designing, developing, and delivering comprehensive reports and analytical solutions that support decision-making processes across the organization. The ideal candidate will possess strong analytical capabilities, exceptional attention to detail, and a passion for leveraging data to improve business performance.

Education: Bachelor's degree in Finance, Accounting, Business Analytics, or a related field.

Experience: 3-5 years of experience in reporting, analytics, or a related field with a focus on data interpretation and presentation.

Skills:

• Proficiency in data analysis tools (e.g., Microsoft Excel, SQL, Tableau, Power BI) and reporting software.
• Strong understanding of financial concepts, metrics, and analytical methodologies.
• Ability to transform complex data sets into clear, actionable insights and visually appealing reports.
• Strong problem-solving skills with a keen attention to detail.
• Excellent communication and presentation skills, with the ability to convey analytical findings to both technical and non-technical audiences.
• Experience working in a fast-paced environment with the ability to manage multiple projects simultaneously.
• Collaborative mindset and ability to work effectively within cross-functional teams.

Languages: Fluent in English.

Job Responsibilities:

Develop and maintain comprehensive financial reports that deliver insights into organizational performance, metrics, and trends.

Analyze and interpret historical data, identifying patterns and forecasting future business performance.

Collaborate with various departments to gather data requirements, ensuring reports meet the needs of stakeholders.

Create dashboards and visualization tools to present data in an easily digestible format for decision-makers.

Assist in developing key performance indicators (KPIs) to monitor organizational effectiveness and overall business objectives.

Perform statistical analysis to support business cases and drive initiatives forward.

Identify opportunities for process improvements within reporting and analytics functions, aiming to enhance data accuracy and efficiency.

Support regulatory compliance efforts through accurate reporting and documentation.

Provide training and support to team members on reporting tools and analytical techniques.

Stay current with industry trends in data analytics and business intelligence to enhance reporting capabilities.

Prepare and present insights and recommendations to senior management, enabling informed decision-making.

Ensure data integrity and adhere to company policies regarding data governance.

Collaborate with IT and data management teams to enhance data collection, storage, and processing systems for improved analytics.

Join to apply for the Engineering Manager - MLOps & Analytics role at Canonical

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Join to apply for the Engineering Manager - MLOps & Analytics role at Canonical

The role of an Engineering Manager at Canonical

As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware of that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked.

You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, and regularly reflect with your team on strategy and execution.

You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals.

We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.

Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality and performance optimisation is as important, as is the requirement for fair and clear management, and the obligation to ensure a high-performing team.

Location: This is a Globally remote role.

What your day will look like

• Manage a distributed team of engineers and its MLOps/Analytics portfolio
• Organize and lead the team's processes in order to help it achieve its objectives
• Conduct one-on-one meetings with team members
• Identify and measure team health indicators
• Interact with a vibrant community
• Review code produced by other engineers
• Attend conferences to represent Canonical and its MLOps solutions
• Mentor and grow your direct reports, helping them achieve their professional goals
• Work from home with global travel for 2 to 4 weeks per year for internal and external events
  
  

• A proven track record of professional experience of software delivery
• Professional python development experience, preferably with a track record in open source
• A proven understanding of the machine learning space, its challenges and opportunities to improve
• Experience designing and implementing MLOps solutions
• An exceptional academic track record from both high school and preferably university
• Willingness to travel up to 4 times a year for internal events
  
  

• Hands-on experience with machine learning libraries, or tools.
• Proven track record of building highly automated machine learning solutions for the cloud.
• Experience with building machine learning models
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Experience in the Linux and open-source software world
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on a distributed team on an open source project -- even if that is community open source contributions.
• Demonstrated track record of Open Source contributions
  
  

• Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004!
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues from your team and others
• Priority Pass for travel and travel upgrades for long haul company events
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

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