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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

<div>Responsibilities:<ul><li>Develop and maintain conceptual, logical, and physical data models using data modeling tools.</li><li>Collaborate with stakeholders, business analysts, and Data Engineer teams to gather business requirements and define data modeling standards.</li><li>Design and implement data models that support business intelligence, data warehousing, and analytics initiatives.</li><li>Ensure data models adhere to data governance policies, data quality standards, and industry best practices.</li><li>Develop and maintain data model documentation, including data dictionaries, entity-relationship diagrams, and data flow diagrams.</li><li>Participate in data architecture discussions and contribute to the development of the enterprise data architecture.</li></ul>
&bull; Collaborate with database administrators to ensure physical database design aligns with data models. &bull; Stay up-to-date with industry trends, emerging technologies, and data modeling best practices.
Qualifications:<ul><li>Bachelor's degree in Computer Science, Information Systems, or related field.</li><li>5-8 years of experience in data modeling, data architecture, or related field. Proficiency in data modeling.</li><li>Strong understanding of data modeling concepts, including entity-relationship modeling, dimensional modeling, and data normalization.</li><li>Experience using Erwin Data Modeler is a plus.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to work in a team environment and collaborate with stakeholders.</li></ul></div>

Senior Data Modeler

Ericsson

<div><div><div><div><h2 class="jobSectionHeader">Grow with us</h2>
</div><div>
About this opportunity: 
The Data Scientist for Service Line Operate Service Management Service Improvement is a key position reporting to the Manager &ndash; Data Science, and a member of BCSM Service Line Operate Service Management Service Improvement Team.
Key Responsibilities<ul><li>
Enhanced Data analytics and Data Science &ndash; Use case design, modelling, and benefit realization</li><li>
Development of scientific methods, processes, and systems to extract knowledge or insights</li></ul>
The Data Scientist for Service Line Operate Service Management Service Improvement develops new solutions and maintain a strong analytical capability to improve service delivery by executing advanced capabilities such as analytics, machine learning skills and tools.</div></div><div><div><h2 class="jobSectionHeader">
Join our Team</h2></div><div> 
What you will do:<ul><li>
Develop/Own best in class statistical models (descriptive, diagnostic, prescriptive &amp; predictive) covering standard NOC parameters (Alarms, Tickets, WOs).</li><li>
Use cases / model creation (Live Site down, Genset Battery, CR dashboards etc.) with real time data and own/Manage/Revise Capability catalog.</li><li>
Develops scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics.</li><li>
Translate data algorithms and complex ideas into actionable management insights and solutions.</li><li>
Translate operator business objectives into business intelligence through regressive data analytics.</li><li>
Drive reuse of analytics capabilities as per demands in other contracts.</li><li>
Analytical model development &amp; visualization request handling.</li><li>
Model LCM &amp; Enhancements over existing models.</li><li>
Explore and work on Big Data tools and technologies to sustain Ericsson&rsquo;s continued operational transformation objectives and market leadership.</li><li>
Continually innovate data reports and data visualizations based on defined objectives such that they bring overview for executive level viewership.</li><li>
Recognize irrelevant information and prevent it from clouding the overall picture.</li><li>
Coordinate with Proactive Problem Management/MSCLT/SDU teams to build models.</li><li>
Work with MSDMs/CPM, Operations SME &amp; other stakeholders to conduct value-stream mapping &amp; propose elimination of any non-value activities - to gain operational efficiencies.</li></ul> 
The skills you bring:<ul><li>
7+ years of total experience with 3+ years of experience in Data Science, data modelling, Machine Learning, Statistics.</li><li>
Hands-on experience working in the related domains and/or Service Management functions.</li><li>
Strong understanding of Managed Services environment is mandatory.</li><li>
Strong telecom background in any of the domains (RAN/Core) is mandatory.</li><li>
Prior experience of working in MBNL operations is a plus point.</li><li>
Strong knowledge and experience in working with Data Analytic tools i.e., TABLEAU etc.</li><li>
Good understanding of Machine Learning, Artificial Intelligence and Cloud Technologies.</li><li>
Strong Knowledge of SQL, PL/SQL, SQL Server, SPSS, SPAS.</li><li>
Good command of programming language and software environment for statistical analysis, graphics representation and reporting i.e., R, Python.</li><li>
Education: bachelor&rsquo;s degree or equivalent.</li><li>
Driven by behaviors such as: Data driven, Agile, Automation, Value Focus, Innovation.</li><li>
Must have the ability to drive projects independently.</li><li>
Excellent English language skills oral and written.</li><li>
Self-motivated and works excellently under pressure.</li><li>
High degree of accountability and integrity.</li><li>
Highly developed skills in Interpersonal communication and ability to communicate effectively.</li><li>
Customer oriented and business minded &ndash; has a consultative approach and focuses on profitability.</li><li>
Analytical with strong problem-solving capability and strategic thinking.</li></ul></div></div></div>
Why join Ericsson?At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. 
 
What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. 
Primary country and city: Saudi Arabia (SA) ||
Req ID: 785347</div>

Data Scientist

TAWANTECH

<div>JOB PURPOSE &amp; SUMMARY
The Data Analytics / Customer Intelligence Specialist is responsible for transforming raw consumer datasets
into predictive, highly actionable commercial intelligence. Operating at the intersection of data science and
business strategy, this role focuses on translating intricate consumer behaviors into optimized commercial
strategies. The successful candidate will design robust predictive frameworks and build self-service
visualization assets to guide corporate decision-making.
KEY RESPONSIBILITIES<ul><li>Build and validate advanced propensity models to predict customer churn, upgrade behaviors, and product</li></ul>
affinity.<ul><li>Perform granular behavioral analytics on multi-structured datasets to uncover hidden patterns, journey</li></ul>
friction points, and engagement lifecycle stages.<ul><li>Own the design, deployment, and optimization of end-to-end commercial analytics frameworks that directly</li></ul>
measure marketing ROI and portfolio performance.<ul><li>Develop, maintain, and refresh corporate dashboards utilizing Power BI or Tableau to provide automated,</li></ul>
real-time metrics for executive leadership.<ul><li>Extract, clean, and manipulate heavy transactional and profile records from central enterprise data</li></ul>
warehouses.<ul><li>Act as an analytical business partner, converting data findings into commercial recommendations for</li></ul>
product development and marketing departments. 
Requirements 
JOB REQUIREMENTS &amp; QUALIFICATIONS<ul><li>Experience: 3 to 7 years of specialized professional experience in an analytics-focused capacity.</li><li>Domain Background: Prior exposure to banking analytics, customer intelligence divisions, predictive</li></ul>
statistical teams, or sophisticated commercial analysis environments.<ul><li>Technical Exposure (Preferred): Deep, demonstrable proficiency utilizing SQL for database querying/</li></ul>
data manipulation and Python for statistical modeling.<ul><li>Visualization Stack: Strong hands-on experience building structured, production-ready interactive visual</li></ul>
dashboards in Power BI or Tableau.<ul><li>Analytical Specialties: Direct experience applying predictive modeling techniques (such as propensity</li></ul>
modelling) and executing behavioral analytics tracks.</div>

Data Analytics / Customer Intelligence Specialist

<div>
 
 Job Purpose &amp; Summary
 
 
 
 The Data Analytics / Customer Intelligence Specialist is responsible for transforming raw consumer datasets
 
 
 into predictive, highly actionable commercial intelligence. Operating at the intersection of data science and
 
 
 business strategy, this role focuses on translating intricate consumer behaviors into optimized commercial
 
 
 strategies. The successful candidate will design robust predictive frameworks and build self-service
 
 
 visualization assets to guide corporate decision-making.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and validate advanced propensity models to predict customer churn, upgrade behaviors, and product
 
 
 </li>
 </ul>
 affinity.
 
 
 <ul>
 <li>
 Perform granular behavioral analytics on multi-structured datasets to uncover hidden patterns, journey
 
 
 </li>
 </ul>
 friction points, and engagement lifecycle stages.
 
 
 <ul>
 <li>
 Own the design, deployment, and optimization of end-to-end commercial analytics frameworks that directly
 
 
 </li>
 </ul>
 measure marketing ROI and portfolio performance.
 
 
 <ul>
 <li>
 Develop, maintain, and refresh corporate dashboards utilizing Power BI or Tableau to provide automated,
 
 
 </li>
 </ul>
 real-time metrics for executive leadership.
 
 
 <ul>
 <li>
 Extract, clean, and manipulate heavy transactional and profile records from central enterprise data
 
 
 </li>
 </ul>
 warehouses.
 
 
 <ul>
 <li>
 Act as an analytical business partner, converting data findings into commercial recommendations for
 
 
 </li>
 </ul>
 product development and marketing departments.
 
 
 
 Requirements
 
 
 
 
 JOB REQUIREMENTS &amp; QUALIFICATIONS
 
 
 
 <ul>
 <li>
 Experience: 3 to 7 years of specialized professional experience in an analytics-focused capacity
 </li>
 <li>
 Domain Background: Prior exposure to banking analytics, customer intelligence divisions, predictive
 
 
 </li>
 </ul>
 statistical teams, or sophisticated commercial analysis environments.
 
 
 <ul>
 <li>
 Technical Exposure (Preferred): Deep, demonstrable proficiency utilizing SQL for database querying/
 
 
 </li>
 </ul>
 data manipulation and Python for statistical modeling.
 
 
 <ul>
 <li>
 Visualization Stack: Strong hands-on experience building structured, production-ready interactive visual
 
 
 </li>
 </ul>
 dashboards in Power BI or Tableau.
 
 
 <ul>
 <li>
 Analytical Specialties: Direct experience applying predictive modeling techniques (such as propensity
 
 
 </li>
 </ul>
 modelling) and executing behavioral analytics tracks.
</div>

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 Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Data Scientist I position would have an interest in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, Anti-Money Laundering (AML) initiatives, and emerging Generative AI technologies. As a Data Scientist I, you will support the development of analytical and AI-driven solutions to help detect and prevent fraudulent activities and mitigate AML risks under close guidance.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Support the development of fraud detection, AML, and Generative AI use cases.
 </li>
 <li>
 Assist in building and testing ML and GenAI models (e.g., prompt engineering, RAG pipelines).
 </li>
 <li>
 Prepare, clean, and analyze structured and unstructured data.
 </li>
 <li>
 Support the training, evaluation, and deployment of ML models.
 </li>
 <li>
 Assist with experimentation using LLMs for tasks such as document analysis, alert summarization, or data enrichment.
 </li>
 <li>
 Execute assigned tasks within project plans under supervision.
 </li>
 <li>
 Stay informed about industry trends related to fraud, AML, and Generative AI.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
 </li>
 <li>
 0&ndash;2 years of experience in data science or analytics.
 </li>
 <li>
 Basic understanding of ML concepts and exposure to Generative AI or LLMs.
 </li>
 <li>
 Proficiency in SQL and Python.
 </li>
 <li>
 Experience with data extraction, cleaning, and basic visualization.
 </li>
 <li>
 Familiarity with model evaluation and feature engineering concepts.
 </li>
 <li>
 Proficiency in English; Arabic is a plus.
 </li>
 <li>
 Strong problem-solving skills, attention to detail, and eagerness to learn.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

Data Scientist I

<div>Job Summary
We are seeking an ETL Developer to design, develop, and maintain enterprise data integration solutions supporting banking operations, reporting, analytics, and regulatory requirements.
Key Responsibilities
Develop and maintain ETL workflows using Informatica PowerCenter and/or IBM DataStage.
Extract, transform, and load data from multiple banking systems.
Support Data Warehouse and Data Lake initiatives.
Optimize ETL performance and ensure data quality.
Troubleshoot and resolve data integration issues.
Collaborate with business and data teams to define data requirements.
Support regulatory and management reporting processes. 
Requirements 
4+ years of ETL development experience.
Strong experience with Informatica PowerCenter and/or IBM DataStage.
Strong SQL and database skills.
Experience with Data Warehousing concepts.
Knowledge of data quality and data governance practices.
Experience working with Oracle, SQL Server, or other enterprise databases.
Preferred Qualifications
Banking domain experience.
Experience supporting regulatory reporting environments.
Knowledge of Data Lakes and Big Data technologies</div>

ETL Developer (Informatica / DataStage)

Explore 207+ Data analyst in Riyadh this June. Find roles across top companies and apply now to boost your career.

207 data analyst jobs In Riyadh

Specialist - Finance Data Intelligence

Senior Data Modeler

Data Scientist

Data Analytics / Customer Intelligence Specialist

Data Analytics / Customer Intelligence Specialist

Data Scientist I

ETL Developer (Informatica / DataStage)