business analyst

data analytics / customer intelligence specialist Jobs in Riyadh

data scientist

senior business analyst

business analyst ai data platforms

<div>Company Description 
Sia is a specialist Management Consulting firm born in Paris, France in 1999 and has grown into a global firm with over 3,000 employees and annual revenue exceeding $500m. Our culture is strongly oriented towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Testament to its success, Sia has shown double-digit growth every year since inception.
Sia is a pioneer of Consulting 4.0, putting us at the forefront of the technology revolution, deploying augmented Consultants capable of leveraging emerging digital technology to enhance and improve their cognitive reasoning, analysis and planning. Supported by Augmented &amp; Artificial Intelligence, Automation and Data Science we empower our clients to make the right decisions at the right time for the right reasons.
With our consultants representing 41 different nationalities, we are a highly diverse team spread across 48 offices in 19 countries. However, using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service.
Sia is an equal opportunities employer, committed to diversity, inclusion, and employee well-being. Our diversity and inclusion networks (local and global) contribute to a pipeline of initiatives to enhance employee quality of life and foster a caring environment to work in.
Employees are encouraged to contribute to these initiatives and drive positive change in the organisation across 5 pillars: Women@Sia, Multi-Ethnic, Well-being, and Environment.
In the Middle East, Sia provides expert advisory services on strategy &amp; execution, innovation, operational performance &amp; cost reduction, cyber &amp; data security, efficient organisation, transformation &amp; change management, HR performance, and IT performance. In addition to these services, Sia Institute, Sia Partners&rsquo; world-class international training arm, provides a wide range of learning programs and workshops with modules successfully delivered across various locations and sectors, particularly in the Middle East.
Why join the Sia Village?
Excellence | Entrepreneurship | Innovation | Teamwork | Care &amp; Support | Employee Wellbeing
These are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people. 
Job Description 
At Sia, we believe AI is the cornerstone of the new generation. Our consultants' business acumen, combined with the expertise of our Data Scientists and AI products, empowers us to address our clients' business challenges across the data universe. As we expand Data &amp; AI practice, we seek professionals who share our vision and can contribute to our growth.
We are looking for individuals with the following experience:
Lead delivery projects with our clients on a wide range of topics:<ul><li>
Lead and deliver client engagements across a broad range of Data Science, AI, and Generative AI topics, including enterprise AI transformation, analytics, and intelligent automation initiatives.</li><li>
Develop Data &amp; AI strategies, operating models, and implementation roadmaps aligned with client business objectives and digital transformation agendas.</li><li>
Design and deliver advanced analytics, Machine Learning, Generative AI, and Agentic AI solutions across cloud ecosystems including Microsoft Azure, Azure OpenAI, AWS, and Google Cloud Platform (GCP).</li><li>
Design and implement LLM-powered solutions, including RAG architectures, AI agents, prompt engineering frameworks, orchestration layers, and vector database integrations.</li><li>
Lead functional data architecture, data modelling, and data engineering activities, including ETL/ELT pipelines, API integrations, and structured/unstructured data processing to maximize enterprise data value.</li><li>
Develop and deploy Machine Learning and AI models, including predictive analytics, supervised and unsupervised learning, forecasting, NLP, recommendation engines, and quantitative analysis use cases.</li><li>
Support the setup of scalable AI/ML deployment environments through MLOps practices, model lifecycle management, monitoring, and governance frameworks.</li><li>
Deliver data platform modernization, migration, and AI enablement initiatives leveraging modern cloud-native and enterprise data technologies.</li><li>
Implement enterprise data governance and Responsible AI frameworks, including data quality management, master data management, AI governance, security, compliance, and data sovereignty considerations.</li><li>
Support organizational adoption and business readiness for Data &amp; AI solutions through stakeholder engagement, training, and operating model enablement.</li><li>
Contribute to business development activities, proposal development, thought leadership, and the expansion of Sia&rsquo;s AI and Data offerings, accelerators, and platforms, including SiaGPT.</li></ul>
In addition, we are seeking technical experience across all or some of the below:<ul><li>
Strong foundation in Data Science, Machine Learning, and Generative AI, with practical experience delivering AI use cases in enterprise environments.</li><li>
Hands-on experience with Python-based AI/ML ecosystems (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch, LangChain).</li><li>
Experience designing and deploying LLM and Agentic AI solutions, including RAG architectures, AI agents, prompt engineering, orchestration frameworks, and vector databases.</li><li>
Knowledge of modern AI platforms and cloud ecosystems such as Microsoft Azure AI, Azure OpenAI, AWS, Google Cloud, Databricks, or Snowflake.</li><li>
Experience with data engineering and data architecture concepts, including ETL pipelines, APIs, structured/unstructured data processing, and enterprise data platforms.</li><li>
Familiarity with MLOps / AIOps practices, model lifecycle management, monitoring, governance, and scalable deployment approaches.</li><li>
Understanding of AI governance, responsible AI, security, and data sovereignty requirements, particularly relevant for public sector and regulated industries in KSA and the GCC.</li><li>
Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar.</li><li>
Ability to translate business problems into AI-driven operating models, analytics solutions, and transformation initiatives.</li><li>
Exposure to sector-specific AI use cases across industries such as Government, Energy, Utilities, Retail, Transportation, Financial Services, or Healthcare.</li><li>
Strong understanding of enterprise digital transformation environments, including integration with CRM, ERP, workflow, and customer platforms.</li><li>
Experience contributing to or leading AI strategy, use case prioritization, PoCs, MVPs, and enterprise-scale AI implementation programs.</li><li>
Familiarity with Agile delivery methodologies and cross-functional product delivery teams.</li><li>
Fluency in English is required; Arabic language proficiency is strongly preferred. Previous experience working in Saudi Arabia or the GCC region is considered a strong advantage.</li></ul> 

Qualifications 
To excel in this role, you should possess:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, Software Engineering, Mathematics, Statistics, or a related quantitative field.</li><li>
Master&rsquo;s degree in a relevant discipline.</li><li>
4&ndash;10 years of professional experience in Data Science, AI, Analytics, or Digital Transformation, preferably within a consulting environment.</li><li>
Proven experience delivering AI/Data projects from strategy and use case definition through implementation and deployment.</li><li>
Experience working with enterprise and government stakeholders in KSA or the GCC.</li><li>
Strong client-facing communication and presentation skills, with the ability to engage senior stakeholders and translate technical concepts into business value.</li><li>
Ability to manage workstreams independently and contribute to proposal development, business development activities, and client relationship management.</li><li>
Relevant certifications in cloud, AI, or analytics platforms are considered a plus (e.g., Microsoft Azure AI, AWS Machine Learning, Google Cloud AI, Databricks).</li><li>
Fluency in English and Arabic is required.</li><li>
Experience in local networks and aiding in business development, proposal, and RFPs</li><li>
It is essential to work independently, functionally, and cross-functionally with large client and vendor teams to deliver quality and comprehensive solutions.</li><li>
Strong relationship management skills, with the ability to build networks and influence stakeholders effectively</li><li>
Exceptional analytical, communication, and interpersonal skills</li><li>
An entrepreneurial mindset with a passion for innovation and problem-solving</li></ul> 

Additional Information 
Joining Sia means integrating into a globally recognized firm that fosters personal growth through our unique Sia Village concept, which promotes a community-driven culture reinforced by values of Excellence, Entrepreneurship, Innovation, Teamwork, Care &amp; Support, and Employee Wellbeing, ensuring a fulfilling career path.
What a career at Sia offer you?<ul><li>
Competitive compensation: an competitive salary and benefits package, benchmarked against the market to ensure the most competitive offers.</li><li>
Entrepreneurial spirit: Join us on an entrepreneurial journey that not only fosters innovation but also empowers you to drive your own success. Dive into a culture where your ideas shape the future.</li><li>
Tailored career advocacy program: Receive dedicated support designed to help you achieve your professional aspirations. Our program pairs you with mentors who provide actionable feedback, ensuring continuous progress and success in your career path.</li><li>
Continuous growth: Engage with ongoing opportunities for learning and development, particularly in new and emerging topics. Stay ahead of the curve by continually advancing your knowledge and skills.</li></ul>
Our Commitment to Diversity
At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact.
We are guided by the pursuit of understanding and take pride in being able to provide meaningful solutions to our clients&rsquo; unique challenges. We bring our whole selves to work and strive to listen, observe, understand and be understood.
To learn more about our mission, values, and business sectors, please visit our website.<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

[KSA] Data & AI – Senior Consultant / Associate Manager

TAWANTECH

<div>Job Summary
We are seeking an AI Software Engineer with hands-on experience in Large Language Models (LLMs) and Generative AI technologies to develop intelligent solutions that enhance customer experience, operational efficiency, and knowledge management within the banking sector.
Key Responsibilities<ul><li>Design, develop, and deploy AI-powered applications leveraging LLMs and Generative AI.</li><li>Build Retrieval-Augmented Generation (RAG) solutions using enterprise banking data.</li><li>Develop intelligent assistants, chatbots, and knowledge management solutions.</li><li>Integrate AI services with banking applications and APIs.</li><li>Fine-tune, evaluate, and optimize LLM performance.</li><li>Ensure compliance with banking security, governance, and regulatory requirements.</li><li>Collaborate with business, data, and technology teams to deliver AI-driven solutions.</li></ul> 
Requirements<ul><li> 
4+ years of software engineering experience.</li><li>Strong Python programming skills.</li><li>Experience with LLMs, Generative AI, and Prompt Engineering.</li><li>Experience with LangChain, LlamaIndex, Vector Databases, and RAG architectures.</li><li>Familiarity with machine learning frameworks and AI deployment practices.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is preferred.</li></ul>
Preferred Qualifications<ul><li>Banking or Financial Services experience.</li><li>Experience developing AI copilots or customer-facing AI solutions.</li><li>Knowledge of AI governance and responsible AI practices.</li></ul></div>

AI Software Engineer / LLM Engineer

Mace Group

<div>Mace combines construction expertise with consultancy to unlock potential in every person or project and redefine the boundaries of ambition. Our values shape the way we consult and define the people we want to join us on our journey.
The project:
This is an opportunity to work on one of the largest programmes in Saudi Arabia. This unique project consists of major mixed-use development including sports facilities, entertainment and arts along with all associated infrastructure.
Mace is one of the delivery partners requiring high-calibre and experienced professionals to lead integrated teams throughout each phase of the project.
We are seeking a Transport Data Scientist to lead the development of data-driven intelligence across our mobility ecosystem. This role will deliver advanced transport data models, AI-enabled insights, and scalable cloud-based data platforms, underpinned by robust governance and knowledge management frameworks.
Working in close partnership with technology vendors, autonomous vehicle providers, system integrators, and internal stakeholders, the role will ensure data platforms and analytics solutions are clearly defined, effectively integrated, and delivered to the highest standards of quality and performance.
You&rsquo;ll be responsible for:<ul><li>
Lead the development of integrated transport data strategies across all mobility modes, defining clear use cases, KPIs, and performance frameworks aligned to business and customer outcomes.</li><li>
Deliver advanced analytics and AI solutions, including predictive modelling for demand, ridership, fleet optimisation, traffic management, safety, and customer insights.</li><li>
Enable scalable, cloud-based data and AI architectures, supporting personalised mobility experiences and ensuring seamless integration with AV and MaaS platforms.</li><li>
Establish and maintain robust data governance and knowledge management frameworks, ensuring data quality, compliance, traceability, and effective lifecycle management of data assets and models.</li><li>
Works collaboratively towards the common goal of net zero carbon transition, and share responsibility for the proactive identification and management of the associated carbon emissions and reductions during the delivery of work.</li></ul>
You&rsquo;ll need to have:<ul><li>
Bachelor&rsquo;s degree in data science, Data Engineering, AI/Machine Learning, Transport Systems Engineering, or a related discipline.</li><li>
Proven experience (8+ years) in transport data engineering and AI/ML, with GCC experience highly regarded.</li><li>
Necessary visa criteria for the Kingdom of Saudi Arabia and have relevant work experience working on high-valued projects/programmes for a project management consultancy business, which are required for immigration and client approval.</li></ul>
Our values
Safety first - Going home safe and well: We champion a safe, diverse, and inclusive working environment, understanding the importance of well-being in every team.
Client focus - Deliver on our promise: We own the quality of deliverables and strategic outcomes and build long-term relationships with our clients.
Integrity - Always do the right thing: We influence positive outcomes within our industry while always aligning with our compliance obligations.
Create opportunity - For our people to excel: We champion a continuous improvement culture throughout all activities, inspiring our people and teams to develop. 
Mace is an inclusive employer and welcomes interest from a diverse range of candidates. Even if you feel you do not fulfill all the criteria, please apply, as you may still be the best candidate for this role or another role within our organisation. 
We are also open to discussing part-time, flexible, and hybrid working options if suitable within the role.
#LI-Onsite</div>

Transport Data Science Manager

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The D360 aka Data Cloud specialist team is an innovative group of sellers and GTM specialists at the heart of Salesforce&rsquo;s newest innovation - D360. We are a startup within an extensive organization focused on next-generation of technology at Salesforce. This dedicated team helps Salesforce customers and prospects develop and implement strategies to take their Customer Experience efforts to a new level with Data + AI + CRM + Trust. This team is at the center of our GTM strategy connecting the dots between the D360 Product team, Product Marketing, Enablement, Customer Success &amp; Support, and Partners Ecosystem to drive growth for D360. It is a dynamic, constantly evolving environment where expertise in design, and technology is demonstrated every day to drive innovation.
Role Description
The D360 Technical Architect plays a pivotal role in developing innovative solutions for our customers across a variety of industries. You will work closely with Account Executives, Solutions Engineering, Product, and Product Marketing teams to provide deep technical domain expertise during the pre and post-sale process.
Our D360 customers are only as successful as the value they derive from the platform. You will play a key role in ensuring D360 is the right fit, help them prioritize the most valuable D360 use cases, and provide technical architecture best practices to drive product adoption.
You will collaborate with the broader global D360 team to develop use cases, demos, sales plays, and technical thought leadership. You will also have a meaningful role in driving our Product Roadmap forward and serve as a key advisor to the Product organization sharing innovative ideas and feedback from customers
It is important to have a solid technical grasp of the CRM, Modern Data Stack, Analytics &amp; BI, CRM and AI (Generative and Predictive) landscape and the ability to effectively communicate our offerings to potential clients.
Key Responsibilities
<ul><li>Solve Business Problems - Analyze complex business problems by conducting research and assessments to define the problem, generate innovative ideas, see opportunities, and recommend actionable solutions.
</li><li>Drive Innovation &amp; Customer Adoption - Bring structure to the client's decision-making process by communicating and evaluating solution options, and facilitating agreement among key stakeholders that helps customers prioritize high-value solutions, driving business impact.
</li><li>Connect the &ldquo;Art of the Possible&rdquo; - Assist Solutions Engineers with delivering software demonstrations, rapid prototyping, and storytelling to show how connected experiences come to life with the Salesforce D360 &amp; Salesforce CRM.
</li><li>Cross Platform Collaboration - You will use your understanding of customers&rsquo; use cases across industries and multiple technology landscapes (CRM, Modern Data Stack, Analytics &amp; BI, CRM and AI) to develop solutions across the Salesforce's technology stack.
</li><li>Provide Technical Domain Expertise - Answer in-depth D360 questions related to data governance, security, and other technical capabilities. Create architectural diagrams, write technical thought-leadership pieces (blogs, whitepapers, etc.), documentation, enablement materials to help us stay ahead of industry trends and help our customer&rsquo;s implement best practices with D360.
</li></ul>Key Requirements
<ul><li>Experience in solutions engineering/solutions architecture/technical consulting, ideally in the B2B SaaS space, particularly cloud data platforms
</li><li>Strong verbal and presentation abilities, capable of effectively communicating ideas to clients and prospective clients at all levels of an organization
</li><li>Understanding &amp; ability to articulate the relationship between Data and Customer Relationship Management, aka the Customer360
</li><li>Demonstrable ability to shift clients to alternative solutions when initial solutions are not a fit, with examples to support this. Demonstrable experience leading strategy and digital roadmap projects in a complex business environment
</li><li>Experience with Data Warehouses, Data Lakes, Cloud Technology, Business Intelligence and CRM products
</li><li>Experience in programming languages such as Javascript, Python, and SQL or Salesforce App Development with LWCs, Apex, Flow etc
</li><li>Fluency in Arabic &amp; English
</li></ul>Preferred Requirements
<ul><li>Implementation or Sales Experience in Salesforce D360 and Agentforce
</li><li>Hands on Experience on Salesforce CRM technology like Sales Cloud, Service Cloud, Marketing Cloud or any Industry Clouds
</li><li>Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science
</li><li>Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI.
</li><li>Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft Azure or Google Cloud Platform.
</li><li>Hands-on expertise with analytics tools like Tableau, PowerBI, Looker, etc
</li><li>Familiarity with data activation or &quot;reverse ETL&quot; platforms in the context of Composable Data Platforms (CDP) and integrating various marketing technologies and data tools into a cohesive system.
</li><li>Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, etc.)
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Data & AI Architect - KSA

Datamatics Global Services Ltd

<div>Position Title : AI/ML Engineer &ndash; Agentic AI 
Experience Required: 4&ndash;6 Years (Should be open to Travel) 
Employment Type : Full-Time - Riyadh - Onsite 
 
Job Overview 
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques. 
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment. 
 
Key Responsibilities<ul><li>
Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>
Build and optimize Agentic AI systems using LLMs, autonomous workflows, and multi-agent architectures.</li><li>
Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>
Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>
Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>
Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>
Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>
Perform prompt engineering, model experimentation, and performance optimization.</li><li>
Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>
Monitor model performance, drift, and continuous improvement processes.</li><li>
Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul>
Required Skills &amp; Expertise<ul><li>
Strong hands-on experience in Machine Learning, Generative AI, and Agentic AI development.</li><li>
Proficiency in Python and AI/ML development frameworks.</li><li>
Experience with:<ul><li>
LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>
OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>
RAG architectures and Vector Databases</li><li>
Prompt Engineering &amp; AI workflow automation</li></ul></li><li>
Solid understanding of:<ul><li>
NLP concepts</li><li>
ML algorithms and model evaluation</li><li>
Deep Learning fundamentals</li><li>
AI model deployment and inference optimization</li></ul></li><li>
Experience with ML libraries/frameworks such as:<ul><li>
PyTorch</li><li>
TensorFlow</li><li>
Scikit-learn</li><li>
Hugging Face Transformers</li></ul></li><li>
Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>
Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>
Strong problem-solving and analytical skills.</li></ul>
Preferred Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
Experience working on enterprise AI automation or AI assistant platforms is highly preferred.</li><li>
Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</li></ul> 

tTAmIvfFVv</div>

AI/ML Engineer – Agentic AI

Almosafer

<div>
 
 
 About the Company:
 
 
 
 At Almosafer Travel &amp; Tourism Co, we&rsquo;re not just part of the travel industry, we&rsquo;re helping shape its future.
 
 
 As Saudi Arabia&rsquo;s leading travel company, we serve millions across every segment of the travel and tourism ecosystem.
 
 
 Rooted in our name &ldquo;Almosafer,&rdquo; meaning the traveler, we strive to make every journey seamless, personal, and purposeful. Our diverse platforms and services are built to deliver enriching experiences that reflect the spirit of Saudi Arabia and the wider region.
 
 
 
 
 
 We&rsquo;re united by a bold vision:
 
 
 To be the undisputed leader in travel services, fostering lasting connections and setting new benchmarks for excellence in the Kingdom and beyond.
 
 
 Our team across Saudi Arabia and the wider region blends deep cultural understanding with forward-thinking innovation, shaping a new standard for travel in the region.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a skilled Analyst to join our Data Intelligence team and drive data projects to support our Finance team. In this role, you will work closely with the Business and Finance to identify opportunities for data-driven insights and deliver actionable recommendations.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Data Management &amp; Reporting:
 
 
 <ul>
 <li>
 Manage data across various platforms, including SAP HANA, ensuring accuracy, reliability, and timeliness.
 </li>
 <li>
 Prepare financial reports and dashboards, summarizing key financial metrics.
 </li>
 <li>
 These reports may include budget vs. actual analysis, profitability reports, and other relevant financial data.
 </li>
 </ul>
 
 
 Analytics &amp; Business Intelligence:
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams to understand their data needs and provide insights.
 </li>
 <li>
 Leverage data to drive strategic business decisions, and design deploy appropriate analytical solutions.
 </li>
 <li>
 Query databases, conduct analyses, develop data models, and manage large data sets to generate actionable insights to key stakeholders.
 </li>
 </ul>
 
 
 Collaboration &amp; Communication:
 
 
 <ul>
 <li>
 Engage with both technical and non-technical stakeholders, presenting findings, and making recommendations tailored to the audiences understanding.
 </li>
 </ul>
 
 
 Optimize Data Workflows:
 
 
 <ul>
 <li>
 Work on improving existing data pipelines and workflows, ensuring data integrity, and efficient retrieval and processing.
 </li>
 <li>
 Create detailed documentation of analysis procedures, data pipelines, and report protocols to ensure continuity and ease of reference for current and future projects.
 </li>
 </ul>
 
 
 
 
 
 Profile Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science or a related field.
 </li>
 <li>
 Preferably 2+ years of experience in data engineering or analytics, with hands-on exposure to SAP HANA.
 </li>
 <li>
 Strong skills in SQL and familiarity with platforms like Hive and the AWS tech stack, including AWS Athena as well as Tableau desktop.
 </li>
 <li>
 Demonstrated understanding of finance principles and accounting practices.
 </li>
 <li>
 Understanding of business operations and the ability to translate complex data into actionable insights.
 </li>
 <li>
 Analytical mindset strong problem-solving skills with an attention to detail, and the capability to work both independently and collaboratively.
 </li>
 <li>
 Willingness to learn and adapt to new tools, platforms, and methodologies as the business and technological landscape evolves.
 </li>
 <li>
 Previous experience with SAP reporting and analytics will be a distinct advantage.
 </li>
 <li>
 Ability to present findings clearly and concisely to stakeholders at various levels within the organization.
 </li>
 <li>
 Fluent in English, and fluency in Arabic is an advantage.
 </li>
 </ul>
 
 
 
 
 
 Being you @ Almosafer:
 
 
 
 At Almosafer, our teams work with purpose, clarity, and a shared commitment to doing things the right way. Whether you're building platforms, supporting travelers, or shaping strategy, your work connects to something bigger. Across functions and locations, we value accountability, trust, and collaboration - and we create the structure and space for you to contribute meaningfully from day one.
 
 
 
 
 
 Here, you will find:
 
 
 A purpose-led workplace where your ideas can create real impact
 
 
 Ongoing learning and development to help you grow with intention
 
 
 Recognition that celebrates your wins, both big and small
 
 
 A community built on trust, curiosity, and shared momentum
 
 
 
 
 
 No matter where your journey started, at Almosafer, you will find space to grow, connect, and contribute meaningfully.
 
</div>

Specialist - Finance Data Intelligence

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
 
 
 
 The Senior SEO, Organic Growth &amp; Website Experience Specialist will own MOZN&rsquo;s organic growth strategy, website performance, technical SEO, content optimization, and AI search visibility. The role is directly accountable for increasing organic traffic, organic-sourced pipeline, website conversion rates, and overall digital presence across MOZN&rsquo;s product portfolio.
 
 
 
 What You'll Do
 
 
 
 
 
 SEO &amp; Organic Growth
 
 
 
 
 <ul>
 <li>
 Develop and execute SEO strategies aligned to pipeline and revenue objectives.
 </li>
 <li>
 Own organic traffic, keyword rankings, search visibility, and organic lead generation.
 </li>
 <li>
 Build SEO roadmaps across products, industries, and target markets.
 </li>
 <li>
 Conduct competitor and search opportunity analysis.
 
 
 </li>
 </ul>
 
 
 Technical SEO
 
 
 
 
 <ul>
 <li>
 Conduct technical audits and implement improvements.
 </li>
 <li>
 Optimize site architecture, crawlability, indexation, Core Web Vitals, page speed, and mobile performance.
 </li>
 <li>
 Manage structured data, schema markup, redirects, XML sitemaps, and canonicalization.
 
 
 </li>
 </ul>
 
 Website Management &amp; Experience
 
 
 
 <ul>
 <li>
 Own overall website health and performance.
 </li>
 <li>
 Partner with developers to implement enhancements and resolve issues.
 </li>
 <li>
 Improve user journeys, navigation, engagement, and conversion paths.
 </li>
 <li>
 Manage landing page optimization and website experimentation.
 
 
 </li>
 </ul>
 
 
 Content &amp; Organic Visibility
 
 
 
 
 <ul>
 <li>
 Partner with content teams to build SEO-driven content strategies.
 </li>
 <li>
 Create topic clusters, content briefs, and keyword frameworks.
 </li>
 <li>
 Optimize blogs, solution pages, product pages, and resource centers.
 </li>
 <li>
 Improve multilingual search performance across English and Arabic content.
 
 
 </li>
 </ul>
 
 
 AI Search Optimization
 
 
 
 
 <ul>
 <li>
 Optimize MOZN's visibility across AI-powered search platforms including ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews.
 </li>
 <li>
 Develop strategies to improve citation frequency, authority, and discoverability within AI-generated responses.
 </li>
 <li>
 Monitor emerging AI search trends and adapt SEO strategies accordingly.
 
 
 </li>
 </ul>
 
 
 Analytics &amp; Reporting
 
 
 
 
 <ul>
 <li>
 Track and report on organic traffic, rankings, backlinks, website engagement, MQLs, opportunities, pipeline, and revenue influence.
 </li>
 <li>
 Deliver monthly performance reports with actionable recommendations.
 
 
 </li>
 </ul>
 
 
 Authority Building
 
 
 
 
 <ul>
 <li>
 Develop backlink acquisition strategies.
 </li>
 <li>
 Drive thought leadership, PR, guest posting, and digital authority initiatives.
 </li>
 <li>
 Webinar and CRM Capabilities
 
 
 </li>
 </ul>
 
 
 Tools &amp; Platforms
 
 
 
 
 <ul>
 <li>
 Google Analytics 4 (GA4)
 </li>
 <li>
 Google Search Console
 </li>
 <li>
 SEMrush
 </li>
 <li>
 Ahrefs
 </li>
 <li>
 Screaming Frog
 </li>
 <li>
 Google Tag Manager
 </li>
 <li>
 Looker Studio
 </li>
 <li>
 HubSpot
 </li>
 <li>
 Microsoft Clarity
 </li>
 <li>
 WordPress / Headless CMS Platforms
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 5&ndash;8 years of SEO, organic growth, or website optimization experience.
 </li>
 <li>
 Experience within B2B SaaS, AI, enterprise software, fintech, cybersecurity, or technology sectors.
 </li>
 <li>
 Strong technical SEO expertise.
 </li>
 <li>
 Strong understanding of website UX, CRO, and digital analytics.
 </li>
 <li>
 Experience working with developers, content teams, and demand generation teams.
 </li>
 <li>
 Experience managing multilingual SEO programs
 </li>
 <li>
 Data-driven and commercially minded.
 </li>
 <li>
 Understands the connection between SEO, pipeline, and revenue.
 </li>
 <li>
 Strong technical and analytical capabilities.
 </li>
 <li>
 Comfortable operating independently and influencing stakeholders.
 </li>
 <li>
 Passionate about AI, search innovation, and growth marketing
 </li>
 <li>
 Proficient in English and Arabic
 
 
 </li>
 </ul>
 
 
 Success Metrics
 
 
 
 
 <ul>
 <li>
 Organic Traffic Growth
 </li>
 <li>
 Non-Branded Keyword Rankings
 </li>
 <li>
 Top 3 Keyword Growth
 </li>
 <li>
 Share of Voice vs Competitors
 </li>
 <li>
 Organic MQL Generation
 </li>
 <li>
 Organic Pipeline Contribution
 </li>
 <li>
 Marketing-Sourced Revenue Contribution
 </li>
 <li>
 Website Conversion Rate
 </li>
 <li>
 Bounce Rate Reduction
 </li>
 <li>
 Core Web Vitals Performance
 </li>
 <li>
 Backlink Growth &amp; Domain Authority
 </li>
 <li>
 AI Search Visibility &amp; Citation Growth
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Be part of one of the fastest-growing AI companies in the Middle East during a pivotal moment for the region&rsquo;s digital transformation.
 </li>
 <li>
 Work on cutting-edge AI products with real impact in financial crime prevention and regulatory compliance.
 </li>
 <li>
 Enjoy an ownership-driven culture with autonomy, trust, and significant room for growth.
 </li>
 <li>
 Competitive compensation, premium health insurance, and a supportive, high-performance environment.
 </li>
 <li>
 Collaborate with world-class AI scientists, engineers, and industry experts.
 </li>
 <li>
 An inclusive culture that values diversity, innovation, and empowering people to reach their full potential.
 </li>
 </ul>
</div>

Senior SEO, Organic Growth & Website Experience Specialist

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