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Recruitis

<div>The role:

Our client, a prominent digital transformation and cloud provider, is looking for a Data &amp; AI-focused Business Analyst to spearhead a large public sector project in .

You will act as the primary interface between the client and technical teams to deliver AI and data platform services, including the deployment of intelligent agents. This role requires a practical, client-facing professional to drive data-led growth and system integration.

This role is based in Riyadh and is open only for people currently based in Saudi Arabia 


In this role, you will get to:
<ul>
<li>Design Growth Metrics: Develop department-level metrics, tag systems, and campaign scenarios to drive growth through data.</li>
<li>Implement Solutions: Design and deliver business solutions, including event tracking, user tags, visual dashboards, and A/B testing.</li>
<li>Deploy AI Agents: Lead the implementation of data intelligence agents, optimising prompts and workflows for intelligent interaction.</li>
<li>Integrate Systems: Support data and system integration, as well as data warehouse design and development.</li>
<li>Manage cross-functionally: Collaborate with cross-functional teams to ensure high-quality delivery and client satisfaction.</li>
</ul>
Preferred Qualifications:
<ul>
<li>5+ years in data-related ToB services, with a preference for previous public sector experience.</li>
<li>Strong SQL and statistical analysis capabilities.</li>
<li>Hands-on experience in tracking design, metrics systems, and dashboard development.</li>
<li>Understanding of large model capabilities and experience with tools like HiAgent or Dify.</li>
<li>Location: Candidates must live in Saudi Arabia and be able to work in the office.</li>
<li>Excellent communication and reporting skills with a strong customer-service mindset.</li>
<li>A degree in Statistics, Mathematics, Computer Science, or a related field is preferred.</li></ul></div>

Business analyst (AI & Data Platforms)

<div>
 
 The role:
 
 
 
 Our client, a prominent digital transformation and cloud provider, is looking for a Data &amp; AI-focused Business Analyst to spearhead a large public sector project in .
 
 
 You will act as the primary interface between the client and technical teams to deliver AI and data platform services, including the deployment of intelligent agents. This role requires a practical, client-facing professional to drive data-led growth and system integration.
 
 
 
 This role is based in Riyadh and is open only for people currently based in Saudi Arabia
 
 
 
 
 In this role, you will get to:
 
 
 
 <ul>
 <li>
 Design Growth Metrics: Develop department-level metrics, tag systems, and campaign scenarios to drive growth through data.
 </li>
 <li>
 Implement Solutions: Design and deliver business solutions, including event tracking, user tags, visual dashboards, and A/B testing.
 </li>
 <li>
 Deploy AI Agents: Lead the implementation of data intelligence agents, optimising prompts and workflows for intelligent interaction.
 </li>
 <li>
 Integrate Systems: Support data and system integration, as well as data warehouse design and development.
 </li>
 <li>
 Manage cross-functionally: Collaborate with cross-functional teams to ensure high-quality delivery and client satisfaction.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 5+ years in data-related ToB services, with a preference for previous public sector experience.
 </li>
 <li>
 Strong SQL and statistical analysis capabilities.
 </li>
 <li>
 Hands-on experience in tracking design, metrics systems, and dashboard development.
 </li>
 <li>
 Understanding of large model capabilities and experience with tools like HiAgent or Dify.
 </li>
 <li>
 Location: Candidates must live in Saudi Arabia and be able to work in the office.
 </li>
 <li>
 Excellent communication and reporting skills with a strong customer-service mindset.
 </li>
 <li>
 A degree in Statistics, Mathematics, Computer Science, or a related field is preferred.
 
 
 
 
 </li>
 </ul>
</div>

PulseMediaNL

<div>
 PulseMediaNL is seeking a detail-oriented and analytical AI Data Analyst (Remote) to join our remote team. This role is essential in analyzing data, generating insights, supporting AI-driven initiatives, and helping improve business performance through data interpretation and reporting in a fully remote environment.
 
 
 
 Responsibilities
 
 
 
 
 Data Analysis &amp; Reporting
 
 
 
 Collect, analyze, and interpret data from various sources to support business decisions
 
 
 Prepare reports, dashboards, and visualizations to communicate key insights
 
 
 Monitor trends, patterns, and performance metrics to identify opportunities for improvement
 
 
 Assist in maintaining accurate datasets and reporting structures
 
 
 
 ﻿AI &amp; Data Support
 
 
 
 Support AI-related initiatives through data preparation, validation, and analysis
 
 
 Assist with organizing and managing structured and unstructured data
 
 
 Collaborate with internal teams to support data-driven projects and automation efforts
 
 
 Help identify opportunities to improve processes using analytical insights and AI tools
 
 
 
 ﻿Data Management &amp; Quality Assurance
 
 
 
 Ensure data accuracy, integrity, and consistency across systems and reports
 
 
 Identify and resolve discrepancies or inconsistencies in datasets
 
 
 Maintain organized records, databases, and analytical documentation
 
 
 Follow established procedures for data handling, privacy, and reporting standards
 
 
 
 ﻿Collaboration &amp; Process Improvement
 
 
 
 Work closely with operations, support, and management teams to provide analytical support
 
 
 Contribute insights that improve workflows, reporting, and operational efficiency
 
 
 Assist with documenting processes, methodologies, and reporting practices
 
 
 Support continuous improvement initiatives across data and reporting operations
 
 
 
 Requirements
 
 
 
 
 About the Ideal Candidate
 
 
 
 1&ndash;3 years of experience in data analysis, reporting, or a similar analytical role
 
 
 Strong analytical and problem-solving skills
 
 
 Excellent attention to detail and organizational abilities
 
 
 Ability to interpret data and communicate findings clearly
 
 
 Basic understanding of AI tools, automation, or data-driven technologies is a plus
 
 
 Strong written and verbal communication skills
 
 
 Ability to manage multiple priorities effectively in a remote environment
 
 
 Familiarity with spreadsheets, reporting tools, or data visualization platforms is a plus
 
 
 Basic proficiency in Microsoft Office Suite, particularly Excel or similar tools
 
 
 High school diploma or equivalent required; additional education in analytics, business, technology, or a related field is a plus
 
 
 
 ﻿What We Offer
 
 
 
 Meaningful contribution through data analysis and AI-driven support initiatives
 
 
 Remote-first flexibility to support work-life balance
 
 
 Opportunities for professional growth and technical skill development
 
 
 Collaborative and supportive team environment
 
 
 
 Competitive Compensation Aligned With Experience
 
 
 
 Long-term stability within a growing and innovation-focused organization
 
 
 
 ﻿Diversity &amp; Inclusion
 
 
 
 We are committed to fostering a diverse, equitable, and inclusive workplace where everyone feels valued, respected, and empowered to contribute. All qualified applicants are encouraged to apply.
</div>

AI Data Analyst (Remote)

Infinite pl

<div><div>Infinite pl is a digital-led tech firm driven to become a digital logistics pioneer by harnessing the power of people, data, and platforms. We are enabled through in-house, external, network, and investment capabilities that we utilize to orchestrate and build innovative platforms tackling complex problems within logistics and adjacent sectors.

Infinite pl&rsquo;s mission is nothing short of a logistics revolution! We're here to enrich the experiences of governments, businesses, and residents around the world through cutting-edge digital solutions. 


We're not just players; we're game-changers.
</div>
<h3 class="jobSectionHeader">Role Summary:</h3><div>
As Data &amp; AI Analyst, you will collaborate with our team of experts to analyze and interpret complex data sets, using cutting-edge AI algorithms and techniques. You will have the chance to work on a variety of projects, ranging from developing machine learning models to enhance our products, to implementing AI solutions for our clients. This is an exciting opportunity for someone who is eager to make an impact in the AI industry and contribute to the development of groundbreaking technologies.</div><h3 class="jobSectionHeader">
Responsibilities:</h3><ul><li>Assist in the design, development, and implementation of AI algorithms and models.</li><li>Conduct research and analysis to identify trends and patterns in large data sets.</li><li>Collaborate with cross-functional teams to gather requirements and define project objectives.</li><li>Evaluate and validate AI models, ensuring their accuracy and reliability.</li><li>Provide insights and recommendations based on data analysis.</li><li>Stay up-to-date with the latest AI techniques and technologies through continuous learning and professional development.</li><li>Support the deployment and integration of AI solutions into existing systems.</li></ul><h3 class="jobSectionHeader">
Requirements:</h3><ul><li>A bachelor's degree in Computer Science, Engineering, or a related field.</li><li>Strong knowledge of AI concepts, algorithms, and techniques.</li><li>Hands-on experience with programming languages such as Python or Java.</li><li>Familiarity with machine learning frameworks such as TensorFlow or PyTorch.</li><li>Proficient in data analysis and visualization tools, such as MATLAB or Tableau.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and collaboration abilities.</li><li>Attention to detail and the ability to work on multiple projects simultaneously.</li><li>Experience working in a research or academic environment is a plus.</li><li>Knowledge of natural language processing or computer vision is a plus.</li></ul><div>
Infinite pl ️ - where innovation meets logistics, and the journey is Infinitely boundless! 
Let's disrupt logistics together and explore infinite opportunities!</div>

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

2026 KSA Analyst Program - Data & AI Analyst

MASTER-WORKS

<div>Master Works is seeking a Senior UI/UX Designer &amp; Frontend Developer to design and deliver the user experience for AI-powered analytics platforms deployed at major government and enterprise clients. The role combines product design with hands-on frontend engineering &mdash; translating complex data and AI outputs into intuitive, bilingual (Arabic/English, RTL/LTR) interfaces that operate reliably in mission-critical environments. The role is central to the success of multiple flagship platforms across the data, analytics, and intelligence portfolio.<ul><li>
Lead the end-to-end UX design process &mdash; user research, journey mapping, wireframes, interactive prototypes, and pixel-perfect mockups &mdash; for analyst, supervisor, and administrator workflows.</li><li>
Build and maintain production-grade React/TypeScript frontends, ensuring responsive layouts and high performance across modern browsers.</li><li>
Design and engineer a fully bilingual experience (Arabic/English) with first-class RTL support using CSS logical properties, locale-aware components, and persistent language preference.</li><li>
Build complex data-rich interfaces &mdash; including media review tools, alert and queue management, annotation workflows, and split-panel review experiences.</li><li>
Design and implement analytical dashboards using composable charting libraries &mdash; trends, distributions, heatmaps, performance scoring, and workload kanban views with load indicators.</li><li><ul><li>Establish and maintain a shared design system (typography, colour, spacing tokens, dark/light themes, component library) consistent with corporate and client brand guidelines and reusable across multiple products.</li></ul></li><li>
Ensure WCAG 2.1 AA accessibility compliance &mdash; keyboard navigation, focus management, screen-reader semantics, colour-contrast ratios, and bilingual readability.</li><li>
Collaborate closely with backend, AI/ML, and data engineers to define API contracts, error and loading states, and empty states; consume REST endpoints via typed clients.</li><li>
Conduct usability testing with end users and business stakeholders, and translate findings into iterative UI improvements.</li><li>
Work within containerised deployment workflows with awareness of operating in regulated, secure, or air-gapped environments where applicable.</li><li>
Contribute to documentation: design specifications, component usage guidelines, user manuals, and onboarding materials for new joiners and end users.</li><li>
Champion design quality across the team &mdash; review pull requests for UI changes, mentor junior frontend developers, and uphold consistency across product surfaces.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Human-Computer Interaction, Interaction Design, Visual Communication, or a related discipline.
</li><li>Postgraduate qualification (MSc/MA/MBA) in Design, Human-Computer Interaction, or a related field is preferred.</li><li>
Recognised certifications in UX (Nielsen Norman Group, Interaction Design Foundation), accessibility (CPACC/WAS), or modern frontend frameworks are a strong plus.</li><li>
5&ndash;7+ years of combined experience as a UI/UX designer and frontend developer, with at least 3 years shipping production React applications.</li><li>
Demonstrable portfolio of complex enterprise or government-grade web applications, ideally including bilingual (Arabic/English) and RTL interfaces.</li></ul><ul><li>
Hands-on experience with modern React, TypeScript, utility-first CSS frameworks (e.g., Tailwind), modern build tools, and standard charting libraries.</li><li>
Proficient in Figma (or equivalent) for design systems, prototyping, and developer hand-off; fluency with design tokens and component-driven workflows.</li><li>
Exposure to data-rich interfaces &mdash; dashboards, queues, video review tools, annotation interfaces, or alert-management systems &mdash; is strongly preferred.</li><li>
Working knowledge of accessibility standards (WCAG 2.1), i18n/localisation frameworks, and version control (Git).</li><li>
Familiarity with containerised frontends and an appreciation of operating in regulated or secure environments is a strong plus.</li><li>
Excellent leadership and team development skills.</li><li>
Strong user-centred design mindset; comfortable working directly with end users and translating ambiguous needs into clear, validated solutions.</li><li>
High attention to visual and interaction detail, balanced with pragmatic engineering judgement and the ability to ship.</li><li>
Excellent verbal and written communication, with the ability to present design decisions to both technical and non-technical stakeholders.</li><li>
Collaborative team player; comfortable in cross-functional teams of designers, ML engineers, backend developers, and client business owners.</li><li>
Self-directed and able to manage multiple concurrent projects with shifting priorities.</li><li>
Cultural awareness and sensitivity, particularly when designing for Arabic-speaking users in regional contexts.</li></ul></div>

UI UX Designer

MA'ADEN

<div>Job Purpose
<ul><li><div>The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
</div></li><li><div>The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
</div></li><li><div>Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow 
</div></li></ul>Key Accountabilities:
1. Lead End-to-End Data Science Delivery
<ul><li>Developing, implementing and maintaining databases and data collection systems
</li><li>Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
</li><li>Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
</li><li>Performing statistical analysis to understand and interpret data insights
</li><li>Applying data mining techniques to identify patterns, trends, and relationships in large datasets
</li><li>Building predictive models and machine learning algorithms to forecast future outcomes
</li><li>Creating clear data visualizations and reports to communicate findings to stakeholders
</li><li>Working with cross-functional teams to understand business needs and provide data-driven solutions
</li><li>Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
</li><li><div>Ensuring data security and compliance with relevant regulations
</div></li><li><div>Drive experimentation, model versioning, automated retraining, and continuous improvement. 
</div></li></ul><div></div>2. Translate Business Needs into AI/Analytics Solutions
<ul><li><div>Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
</div></li><li><div>Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
</div></li><li><div>Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams. 
</div></li></ul>3. Industrialize AI/ML Models (ML Ops &amp; Architecture)
<ul><li>Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
</li><li>Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
</li><li>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
</li>Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements 
<li>
</li></ul>4. Responsible AI, Quality &amp; Governance
<ul><li>Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
</li><li>Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
</li>Ensure transparency, explainability, and continuous model governance across production and enterprise environments 
<li>
</li></ul>5. Stakeholder Management &amp; Value Realization
<ul><li>Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
</li>Track value realization, adoption metrics, and operational impact to ensure measurable benefit. 
<li>
</li></ul>Minimum Qualification, Experience and Core Competencies:
Minimum Qualifications:
<ul><li>Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields. 
</li></ul>Minimum Experience: 
 
 
<ul><li><div>Minimum Experience:
</div></li><li><div>8 &ndash; 10 years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals
</div></li><li><div>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</div></li><li><div>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch , Azure, AWS) &ndash; Microsoft AI Factory
</div></li><li><div>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams. 
</div></li><li> 
Machine Learning &amp; Advanced Analytics
<ul><li>Hands-on experience developing and deploying machine learning models , including time-series forecasting, predictive modeling, and optimization use cases
</li><li>Strong understanding of model performance, validation, stability, and business impact
</li></ul></li><li>Generative AI &amp; AI Agents
<ul><li>Practical experience with Generative AI solutions , including copilots, intelligent automation, and agent-based workflows
</li><li>Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
 
 
Good to Have Capabilities
</li></ul></li><li>Data Engineering (IT + OT)
<ul><li>Experience designing and maintaining data pipelines across IT and OT environments
</li><li>Exposure to sensor data, streaming / real-time data processing , and industrial data sources
</li><li>Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
</li></ul></li><li>MLOps / AgentOps
<ul><li>Experience in model deployment and lifecycle management , including:
<ul><li>Transition from model development to production and scale
</li><li>Monitoring, retraining, versioning, and drift management
</li></ul></li><li>Familiarity with automation and operationalization of ML/AI workloads
 
 
Preferred Experience &amp; Platforms
</li></ul></li><li>Cloud &amp; Analytics Platforms
<ul><li>Experience working with enterprise cloud platforms, preferably:
<ul><li>Microsoft Azure Data Platform
</li><li>Databricks AI Platform
</li><li>Microsoft AI Foundry / Microsoft AI Factory
</li></ul></li>Understanding of cloud-native architectures for scalable analytics and AI solutions 
<li>
</li></ul></li></ul><div></div>Core Competencies:
<ul><li>Model Accuracy &amp; Reliability: Performance, drift stability, and operational uptime.
</li><li>Adoption &amp; Business Impact: Value realized, user adoption, integration success.
</li><li>Delivery Velocity: Timeliness of development cycles and deployment readiness.
</li><li>Compliance &amp; Quality: Alignment with Responsible AI, governance, and documentation standards.</li></ul></div>

Principal Specialist, Data Science & Analytics

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 Mozn is seeking a Business Analyst to contribute to the functional design, configuration, and implementation of our products. This role focuses on deep solution expertise, understanding customer requirements, translating them into configurations, and ensuring the product is aligned with the client&rsquo;s workflows.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Conduct detailed discovery sessions to capture business and technical requirements.
 </li>
 <li>
 Design workflows and translate them into effective product configurations.
 </li>
 <li>
 Configure Mozn&rsquo;s product features, rules, scenarios, and operational workflows.
 </li>
 <li>
 Support integration activities, including data mapping, validation, and testing.
 </li>
 <li>
 Analyze customer data and use cases to provide insights and best-practice recommendations.
 </li>
 <li>
 Prepare solution design documents, configuration guides, test plans, and delivery reports.
 </li>
 <li>
 Deliver user training, workshops, and support UAT activities.
 </li>
 <li>
 Work closely with the Engagement Manager to ensure smooth delivery and successful go live.
 </li>
 <li>
 Provide structured feedback to product and engineering teams for enhancements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 1-2 years of experience in solution consulting, implementation, or professional services.
 </li>
 <li>
 Strong understanding of AI.
 </li>
 <li>
 Good understanding of APIs, data mapping, and enterprise integration principles.
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to translate requirements into solutions.
 </li>
 <li>
 Excellent communication, documentation, and presentation skills.
 </li>
 </ul>
</div>

Business Analyst I

Explore 1404+ Business analyst ai data platforms in Riyadh this May. Find roles across top companies and apply now to boost your career.

1404 business analyst ai data platforms jobs In Riyadh

Business analyst (AI & Data Platforms)

Business analyst (AI & Data Platforms)

AI Data Analyst (Remote)

2026 KSA Analyst Program - Data & AI Analyst

UI UX Designer

Principal Specialist, Data Science & Analytics

Business Analyst I