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Raqmiyat

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>04/03/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Job Opening Status
<div>In-progress
</div></div><div>Work Experience
<div>4-5 years
</div></div><div>Industry
<div>Technology
</div></div><div>City
<div>Riyadh
</div></div><div>State/Province
<div>Ar Riyad
</div></div><div>Country
<div>Saudi Arabia
</div></div><div>Zip/Postal Code
<div>11564
</div></div></ul></div><div><h3 class="jobSectionHeader">About Us</h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div> 
</div><h3 class="jobSectionHeader">Job Description</h3>
<div><div>Job Overview: 
</div><div>
We are looking for a detail-oriented and analytical Data Analytics Engineer with 3+ years of experience in data analysis, reporting, and dashboard development. The ideal candidate should have strong hands-on experience in Power BI, data modeling, SQL, and transforming raw data into meaningful business insights to support decision-making.</div><div></div> 
Key Responsibilities: 
<ul><li>
Develop, maintain, and optimize interactive dashboards and reports in Power BI. 
</li><li>
Gather, analyze, and interpret data from multiple sources to provide actionable insights. 
</li><li>
Design and implement data models, DAX measures, and calculated fields in Power BI. 
</li><li>
Create ETL / data transformation workflows using Power Query and SQL. 
</li><li>
Work closely with business stakeholders to understand reporting requirements and translate them into dashboards. 
</li><li>
Ensure data accuracy, consistency, and integrity across reports and systems. 
</li><li>
Monitor report performance and improve dashboard usability and visualization standards. 
</li><li>
Support ad hoc data analysis requests and generate periodic MIS reports. 
</li><li>
Collaborate with cross-functional teams including IT, business, and operations teams.</li></ul> 
 
<div></div> 
 
<h3 class="jobSectionHeader">Requirements</h3><ul><li>
3+ years of experience in Data Analytics / BI Engineering / Reporting 
</li><li>
Strong expertise in Power BI (Dashboards, DAX, Power Query, Data Modeling) 
</li><li>
Good experience in SQL queries, joins, stored procedures, and data extraction 
</li><li>
Knowledge of Excel (advanced formulas, pivot tables, data analysis) 
</li><li>
Understanding of ETL processes and data warehousing concepts 
</li><li>
Strong analytical and problem-solving skills 
</li><li>
Good communication and stakeholder management skills</li></ul> 
Preferred Skills: 
<ul><li>
Experience with Python / Excel VBA / Tableau is an added advantage 
</li><li>
Exposure to Azure / cloud-based data platforms preferred 
</li><li>
Knowledge of KPI reporting and business intelligence best practices</li></ul></div></div></div>

Data Analytics Engineer

Abdul Latif Jameel

<div>
 
 
 Who we are?
 
 
 
 
 
 
 Abdul Latif Jameel is a diversified business of independent entities that include automotive distribution, auto parts manufacturing, financial services, renewable energy, environmental services, health, land and real estate development, logistics, electronics retailing and media services.
 
 
 Established in 1945 Abdul Latif Jameel has dual headquarters in Jeddah, Saudi Arabia and Dubai, and currently has operations in 30 countries employing approximately 11,000 people from more than 40nationalities.
 
 
 The term Abdul Latif Jameel refers broadly to several distinct, separate and independent legal entities. It is not itself a corporate entity, association or conglomerate run by an overarching parent company but merely refers to a group of distinct and wholly separate legal entities that are collectively referred to as Abdul Latif Jameel.
 
 
 
 
 
 
 Main Job Responsibilities:
 
 
 
 Manage the collection and analysis of CRM data to support business decision-making.
 
 
 Identify trends and insights in customer data to inform marketing and sales strategies.
 
 
 Manage data integration projects to ensure consistency and accessibility of information across departments.
 
 
 Develop and enforce data quality standards to ensure accuracy and reliability of CRM data.
 
 
 Train team members on data analysis tools and techniques to enhance their analytical capabilities.
 
 
 Collaborate with IT department to maintain and upgrade CRM and analytics platforms.
 
 
 Report on data analytics findings and recommend actions to improve CRM effectiveness.
 
 
 
 
 
 
 Main Job Qualifications:
 
 
 <ol>
 <li>
 Bachelor&rsquo;s degree in Business, Analytics, or a related field. A Master&rsquo;s degree or advanced certification in analytics or data science is highly preferred
 </li>
 <li>
 Minimum of 5 years of experience in CRM, analytics, or a related field. Experience in the automotive industry is a significant advantage.
 </li>
 <li>
 Excellent communication skills, with the ability to articulate complex concepts to a non-technical audience.
 </li>
 <li>
 Knowledge of the Saudi Arabian market and consumer behavior is preferred.
 </li>
 <li>
 Proficiency in analytics and CRM software (e.g., Salesforce, Microsoft Dynamics), as well as data visualization tools (e.g., Tableau, Power BI)
 </li>
 </ol>
 
 
 
 
 
 The associate will work with a daily standard of (48) hours per week.
 
 
 
 
 The job posting will expire in 7 days - Apply while the opportunity lasts!
 
 
</div>

Data & Performance Analytics Manager

KAUST (King Abdullah University of Science and Technology)

<div>
 
 
 Job Purpose
 
 
 
 The KAUST Coral Restoration Initiative (KCRI) is a large-scale coral reef restoration program in the Red Sea in the Kingdom of Saudi Arabia (KSA). KCRI was established in 2021 and is funded by King Abdullah University of Science and Technology (KAUST),a world-class graduate research university in Thuwal, Saudi Arabia. The KCRI will take place at Shusha Island, in partnership with NEOM, a region in northwest Saudi Arabia that is being sustainably developed from the ground up with the world&rsquo;s most advanced technologies to redefine how people live, work, and play.
 
 
 
 
 
 Digital technologies play a key role in supporting this ambitious project. As part of the program, we are developing a digital twin of the coral reef system. The digital twin of the coral reef and nurseries is a virtual replica that collects, displays, analyses, and interacts with real-world data. It will serve as the centralhub of the project, aggregating data from the coral reefs to generate actionable insights for strategy and planning. The digital twin supports coral reef monitoring and protection, facilitates coral restoration management, enables research, and provides KCRI with a platform and portal to engage the public and other stakeholders.
 
 
 
 
 
 In the Monitoring Visualization and Database Management Team, the Data Scientist &amp; Data Manager leads the data science, analytics, and data management work. The role ensures data quality and governance and develops the analytics layer that makes the digital twin intelligent by integrating models and smart analytics. It acts as the main point of contact for all data science and analytics, maintaining data integrity, advancing AI/ML development, and delivering insights that help users understand reef health and support restoration operations.
 
 
 This role will be a part of KCRI&rsquo;s Monitoring, Visualization, and Database Management Team, but will work across all project teams to aid in data continuity across the project. This role is based at KAUST but may require travel to our project site in NEOM periodically to support project needs.
 
 
 
 
 
 
 Major Accountabilities
 
 
 
 The KAUST Coral Restoration Initiative&rsquo;s Data Scientist and Data Managerspecific responsibilities include:
 
 <ul>
 <li>
 Define and oversee the data strategy, architecture, and governance framework for the digital twin.
 </li>
 <li>
 Own the analytics and AI/ML layer, integrating modelsand smart analyticsto make the platform intelligent and predictive.
 </li>
 <li>
 Engage with digital twin users to identify, prioritise, and translate AI/MLuse cases into practical solutions.
 </li>
 <li>
 Develop and manage the roadmap for ML models,analytics, and data tools, ensuringalignment with project goals.
 </li>
 <li>
 Engage with domain expertsto ensure data quality, integrity, and validity
 </li>
 <li>
 Manage relationships with external modelling contractors, serving as the primary contact for data science and analytics guidance.
 </li>
 <li>
 Ensure data quality, accessibility, and interoperability through strong data management practices, cataloguing, and metadata standards.
 </li>
 <li>
 Responsible for performing statistical analysis for our program and developing data incites beyond basic dashboards.
 </li>
 </ul>
 <li>
 </li>
 
 
 Person Requirements
 
 
 
 Competencies
 
 <ul>
 <li>
 Works well in a fast-paced and diverse team environment yet can progress individually on tasks
 </li>
 <li>
 Pays close attention to detail
 </li>
 <li>
 Excellent English written and verbal communication skills
 </li>
 <li>
 Ability to be adaptable in challenging and remote environments that will be developing during the life of the project
 </li>
 <li>
 Ability to organize workload, adapt quickly to change, and deliver under the pressure of deadlines
 </li>
 <li>
 High problem-solving and time management skills
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Advanced degree in Computer Science, Data Science, Information Systems, Statistics, or Mathematics.
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 8+ years in data science/management with leadership experience
 </li>
 <li>
 Strong in Python/R and ML frameworks (scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience handling large-scale datasets and analytics pipelines
 </li>
 <li>
 Experienced in ML/ LLMdevelopment and maintenance with strong data management expertise
 </li>
 <li>
 Expertise in relational and spatial databases (PostgreSQL/PostGIS).
 </li>
 <li>
 Cloud infrastructure experience (AWS, Azure,GCP, Data Bricks).
 </li>
 <li>
 Excellent communication and stakeholder engagement.
 </li>
 <li>
 Practical experience with ecological datasets preferred
 </li>
 </ul>
 
 
</div>

Data Scientist & Data Manager

REEF GROUP | مجموعة ريف

<div>
 
 Data Analyst | Reef Group
 
 
 
 
 
 Position Title: Data Analyst
 
 
 Job Type: Full-Time
 
 
 
 
 
 About the Role:
 
 
 Reef Holding is seeking a detail-oriented and analytical Data Analyst to support the Administrative Operations function by transforming data into accurate, actionable insights that support decision-making, improve performance, enhance operational efficiency, and track the achievement of business objectives. This role focuses on analyzing data and developing reports and dashboards that strengthen planning, monitoring, and continuous improvement across the organization.
 
 
 The role will oversee data analysis activities including data collection, reporting, dashboard development, and performance tracking. The Data Analyst will work closely with operations and cross-functional teams to ensure data accuracy, consistency, and alignment with business needs.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 Lead data collection and analysis:
 
 
 Collect data from various systems and analyze it based on business requirements.
 
 
 Identify trends, patterns, and gaps to support performance improvement.
 
 
 Provide data-driven recommendations to enhance efficiency and operational performance.
 
 
 
 
 
 Develop reports and dashboards:
 
 
 Prepare periodic reports on performance and approved key performance indicators (KPIs).
 
 
 Develop interactive dashboards to support monitoring and decision-making.
 
 
 Ensure timely delivery of reports and dashboards with high levels of accuracy and clarity.
 
 
 
 
 
 Ensure data quality and consistency:
 
 
 Validate data accuracy and resolve inconsistencies across different sources.
 
 
 Collaborate with internal teams to unify data sources.
 
 
 Support continuous improvement of data quality and reporting practices.
 
 
 
 
 
 Support planning and analytical initiatives:
 
 
 Support forecasting and planning activities based on historical data.
 
 
 Support analytical projects and improvement initiatives.
 
 
 Document analysis methodologies and reporting processes to ensure continuity.
 
 
 
 
 
 Collaborate across teams:
 
 
 Work closely with operations and relevant departments to support data needs.
 
 
 Ensure alignment between data insights and business objectives.
 
 
 
 
 
 Required Qualifications:
 
 
 Bachelor&rsquo;s degree in Information Systems or a related field.
 
 
 0&ndash;2 years of relevant experience.
 
 
 
 
 
 Strong ability to extract and analyze data.
 
 
 Proficiency in dashboard design.
 
 
 Understanding of digital consumer behavior.
 
 
 Ability to communicate effectively with e-commerce teams.
 
 
 
 
 
 Preferred Qualifications:
 
 
 Training in Google Analytics.
 
 
 Experience with user experience tracking tools.
 
 
 Knowledge of e-commerce data analysis.
 
 
 
 
 
 Languages:
 
 
 Arabic &ndash; English
 
 
 
 
 
 Why Join Us?
 
 <ul>
 <li>
 At Reef Holding, we believe that data plays a critical role in improving performance and supporting effective decision-making. Joining our team means contributing to an environment that values accuracy, efficiency, and continuous improvement across all operations.
 </li>
 </ul>
 
 
</div>

Data Analyst

Confidential Government

<div>
 
 
 Job Summary
 
 
 
 The Data Analyst Specialist is responsible for collecting, analyzing, and interpreting complex data sets to support business decision-making. The role focuses on transforming data into actionable insights that enhance operational efficiency, drive strategy, and improve overall business performance.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyze large datasets to identify trends, patterns, and insights relevant to business objectives
 </li>
 <li>
 Develop and maintain dashboards and reports using tools such as Power BI, Tableau, or similar
 </li>
 <li>
 Collaborate with business stakeholders to understand data needs and translate them into analytical solutions
 </li>
 <li>
 Ensure data accuracy, integrity, and consistency across multiple data sources
 </li>
 <li>
 Perform data cleansing, validation, and transformation processes
 </li>
 <li>
 Support forecasting, budgeting, and performance analysis activities
 </li>
 <li>
 Automate reporting processes to improve efficiency
 </li>
 <li>
 Provide recommendations based on data analysis to support strategic decisions
 </li>
 <li>
 Monitor KPIs and business performance metrics
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong proficiency in SQL and data querying
 </li>
 <li>
 Experience with data visualization tools (Power BI, Tableau, etc.)
 </li>
 <li>
 Advanced knowledge of Excel (Pivot Tables, Power Query, etc.)
 </li>
 <li>
 Understanding of statistical analysis and data modeling techniques
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Ability to communicate complex data insights to non-technical stakeholders
 </li>
 <li>
 Attention to detail and data accuracy
 </li>
 <li>
 Knowledge of Python or R is a plus
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, or related field
 </li>
 <li>
 3&ndash;5 years of experience in data analysis or similar role
 </li>
 <li>
 Preferably with experience in the
 
 real estate sector
 
 </li>
 </ul>
 
 
</div>

Data Analyst Specialist - Outsource Sales Sector

YO IT CONSULTING

<div>Join our Business Intelligence Analyst Expert Network to connect with leading AI labs and companies seeking your expertise. This is an open application for future contract opportunities that match your background and interests.
Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis.
<div><div>What we're looking for:
<ul><li>Professional experience in SQL &amp; data querying, data visualization (Tableau/Power BI), data modeling &amp; warehousing
</li><li>Strong communication skills
</li><li>Ability to work independently in a remote environment
</li></ul>How it works:
This is not a specific job posting. By applying, you're joining our Business Intelligence Analyst talent network.
<ul><li>Apply once: Complete your profile by uploading your resume and confirming your work location.
</li><li>Get verified: We review your credentials and approve qualified experts.
</li><li>Stay connected: When projects need Business Intelligence Analyst expertise, we match you to opportunities based on your expertise and project needs.
</li><li>Start working: Be invited to interview for opportunities that align with your schedule and interests. You will earn competitive rates while working remotely on your own schedule.
</li></ul>We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
</div></div><div><div><h2 class="jobSectionHeader">Contract and Payment Terms</h2>
<ul><li>You will be engaged as an independent contractor.</li>
<li>This is a fully remote role that can be completed on your own schedule.</li>
<li>Projects can be extended, shortened, or concluded early depending on needs and performance.</li>
<li>Payments are weekly on Stripe or Wise based on services rendered.</li></ul></div></div></div>

Al Foadia Company Limited

We are seeking a detail-oriented and analytical Data and Reporting Analyst to join our client's team in Riyadh. In this role, you will be responsible for transforming raw data into actionable insights that drive strategic business decisions. The ideal candidate possesses a blend of technical expertise, analytical prowess, and the ability to communicate complex findings to diverse stakeholders.Key Responsibilities<ul><li>Data Collection &amp; Management: Extract, clean, and maintain data from various internal and external sources to ensure accuracy and integrity.</li><li>Reporting &amp; Dashboards: Design, develop, and maintain automated reports and interactive dashboards (using tools like Power BI or Tableau) to track Key Performance Indicators (KPIs).</li><li>Trend Analysis: Analyze large datasets to identify patterns, trends, and anomalies that impact business performance.</li><li>Stakeholder Collaboration: Work closely with department heads to understand their data needs and provide tailored analytical support.</li><li>Process Improvement: Identify opportunities to streamline data collection processes and improve reporting efficiency.</li><li>Ad-hoc Analysis: Perform deep-dive analyses on specific business problems as requested by management.</li></ul>Requirements<ul><li>Education: Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.</li><li>Experience: Minimum of 3&ndash;5 years of experience in a data analysis or business intelligence role.</li><li>Technical Skills: * Proficiency in SQL for database querying.</li><li>Advanced knowledge of Microsoft Excel (VLOOKUPs, Pivot Tables, Macros).</li><li>Experience with data visualization tools (Power BI, Tableau, or Qlik).</li><li>Familiarity with Python or R is a plus.</li><li>Soft Skills: Strong problem-solving abilities, excellent communication skills in English (Arabic is a plus), and high attention to detail.</li></ul>Please submit your updated resume to &quot;jobs@alfoadia.com.sa&quot;We look forward to reviewing your application!Good Luck !!Job Type: Full-timeWork Location: In person

Data and Reporting Analyst

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