business intelligence analyst

Aquat Food Industries - أقوات للصناعات الغذائية

<div>
 
 
 Data Analytics and AI Specialist
 
 
 
 We are looking for a detail-oriented
 
 Data Analyst
 
 with a strong foundation in
 
 statistics
 
 and practical experience turning raw data into clear, actionable insights. You will work with business stakeholders to understand reporting needs, build reliable datasets (ideally from
 
 SAP HANA
 
 or related sources), and develop interactive dashboards and analytical outputs using
 
 Power BI
 
 . Experience with modern analytics/AI tools for modeling and insight generation is a strong plus.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyze large datasets to identify patterns, trends, anomalies, and drivers of business performance.
 </li>
 <li>
 Apply
 
 statistical methods
 
 (descriptive statistics, hypothesis testing, correlation/regression, forecasting basics) to support decision-making.
 </li>
 <li>
 Build and maintain
 
 Power BI dashboards
 
 (DAX, data modeling, performance optimization, drill-through storytelling).
 </li>
 <li>
 Develop and optimize data models and semantic layers (star schema, dimensional modeling, measures, KPIs).
 </li>
 <li>
 Extract, transform, and validate data from sources such as
 
 SAP HANA
 
 , ERP systems, spreadsheets, and APIs.
 </li>
 <li>
 Define and track KPI definitions with stakeholders; ensure consistent metric governance across teams.
 </li>
 <li>
 Create clear reports and executive-ready insights (storytelling with data, root-cause analysis).
 </li>
 <li>
 Ensure data quality and documentation (data dictionaries, refresh schedules, report logic).
 </li>
 <li>
 Collaborate with IT/Data teams on access, security, and data pipelines.
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics
 
 , or related field.
 </li>
 <li>
 Strong working knowledge of
 
 statistics
 
 and analytical thinking (ability to choose the right method for the problem).
 </li>
 <li>
 Hands-on experience with
 
 Power BI
 
 including data modeling and DAX.
 </li>
 <li>
 Proficiency in
 
 SQL
 
 (querying, joins, aggregates, window functions are a plus).
 </li>
 <li>
 Strong communication skills&mdash;able to explain insights to technical and non-technical audiences.
 </li>
 </ul>
 
 
 Preferred / Nice-to-Have
 
 
 <ul>
 <li>
 Experience working with
 
 SAP HANA
 
 (calculation views, SQLScript exposure, performance concepts).
 </li>
 <li>
 Experience with Python/R for analytics (pandas, statsmodels, scikit-learn basics).
 </li>
 <li>
 Familiarity with AI-enabled analytics tools (Copilot, AutoML, forecasting tools, LLM-assisted analysis).
 </li>
 <li>
 Experience in manufacturing/operations/finance analytics (OEE, yield, scrap, supply chain KPIs, etc.).
 </li>
 <li>
 Knowledge of data governance practices (data quality checks, access control, documentation).
 </li>
 </ul>
 
 
 What Success Looks Like (First 90 Days)
 
 
 <ul>
 <li>
 Deliver 2&ndash;3 high-impact dashboards or reports aligned to key business KPIs.
 </li>
 <li>
 Establish consistent KPI definitions and improve data quality for at least one critical dataset.
 </li>
 <li>
 Reduce manual reporting time through automation and optimized refresh models.
 </li>
 </ul>
 
 
</div>

Data Analytics and AI Specialist

Applus+ Asia Middle East and Africa

<div>
 
 About Applus+:
 
 
 
 Applus+ is a global leader in inspection, testing, and certification services, delivering innovative solutions across key industries including energy, construction, environment, and infrastructure. Operating in more than 70 countries, we are committed to helping clients achieve operational excellence while maintaining the highest safety and environmental standards. At Applus+, we foster a culture of integrity, technical leadership, and continuous professional development.
 
 
 
 Location:
 
 Jeddah, Saudi Arabia
 
 
 
 Role Summary:
 
 
 
 The Statistical Analyst will play a key role in supporting performance monitoring and data-driven decision-making across project operations. This position is essential to ensure the accuracy, integrity, and effective analysis of operational data while supporting continuous improvement initiatives through statistical evaluation and reporting.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Analyze operational data and field monitoring reports submitted by contractors and supervision teams
 </li>
 <li>
 Develop and assess Key Performance Indicators (KPIs) for all cleaning services, including sweeping, collection, transfer, and landfill operations
 </li>
 <li>
 Utilize statistical analysis tools and methodologies to evaluate performance trends and identify patterns
 </li>
 <li>
 Prepare monthly, quarterly, and annual analytical reports highlighting achievements, performance trends, and deviations
 </li>
 <li>
 Design and maintain interactive dashboards to visualize operational performance and key metrics
 </li>
 <li>
 Conduct comparative analyses across zones and contracts to identify strengths, weaknesses, and opportunities for improvement
 </li>
 <li>
 Analyze complaints data received through the 940 system and correlate findings with service quality indicators
 </li>
 <li>
 Collaborate with the Quality Specialist and Project Manager to enhance analytical models and decision-support tools
 </li>
 <li>
 Provide recommendations to improve operational efficiency and customer satisfaction
 </li>
 <li>
 Ensure the accuracy, completeness, and integrity of data used in official project reports
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Data Analysis, Data Science, or a related field.
 </li>
 <li>
 Minimum of 5 years of experience in data analysis, performance measurement, statistical reporting, or a related field.
 </li>
 <li>
 Professional certification or formal training in statistical analysis tools such as SPSS or equivalent software.
 </li>
 <li>
 Proficiency in statistical analysis and data visualization tools, including SPSS, Microsoft Excel, and Power BI.
 </li>
 </ul>
</div>

Statistical Analyst

DP World

<div>
 
 
 JOB PURPOSE
 
 
 
 Support data-driven decision-making by delivering accurate and timely reporting, enhancing operational efficiency through effective data analysis, and collaborating with various departments to streamline data processes and improve data quality.
 
 
 
 
 
 
 KEY ACCOUNTABILITIES
 
 
 
 &bull; Perform internal and external reporting with high accuracy.
 
 
 
 
 
 &bull; Identify and fix data discrepancies.
 
 
 
 
 
 &bull; Collaborate with IT to automate manual reports; Define the Output report criteria, provide the way of calculations and the relevant formulas, validate the data and monitor the data quality.
 
 
 
 
 
 &bull; Conduct data analysis for operations and lean projects; Conduct data analysis on relevant KPIs to identify operational bottlenecks and areas for optimization. Utilize sophisticated statistical tools and software to monitor, report, and predict the effectiveness of improvement initiatives.
 
 
 
 
 
 &bull; Handle complex data tasks; Conduct Data analysis on raw data extracted from the system to create the requested reports and dashboards using MS Excel &amp; MS Power BI.
 
 
 
 
 
 &bull; Establish quality check mechanisms and monitor KPIs.
 
 
 
 
 
 &bull; Assist in developing data-driven strategies to optimize terminal operations.
 
 
 
 
 
 
 QUALIFICATIONS, EXPERIENCE AND SKILLS
 
 
 
 &bull; Bachelor&rsquo;s degree in Data science, Statistics, MIS or related field.
 
 
 &bull; 2+ years of experience in data analysis.
 
 
 &bull; Strong analytical and problem-solving skills.
 
 
 &bull; Strong attention to detail and accuracy.
 
 
 &bull; Ability to work collaboratively with cross-functional teams.
 
 
 &bull; Proficiency in data analysis and project management tools.
 
 
 &bull; Good communication skills.
 
 
 &bull; Lean Six Sigma Green Belt is a plus.
 
 
 &bull; Proficiency in data analysis tools (Excel, MS Power BI, SQL).
 
 
 &bull; English fluency, Spoken and written.
 
</div>

Specialist - Operations Performance

Matar Al Baqmi Holding Company

<div>Job Purpose:
We are seeking a proactive and experienced Sales Executive to join our Auto Parts division. This role is not just about selling. it requires someone who knows the market inside out. The ideal candidate should already have strong connections with workshops, retailers, and dealers, and be able to identify what customers really demand. 
The Sales Executive must bring:<ul><li>
Practical market knowledge: clear understanding of which spare parts move fast, which items are slow, and what customers will not buy.</li><li>
Product awareness: familiarity with car makes and models, matching parts to vehicles, and advising customers on the right solutions.</li><li>
Commercial acumen: insight into prevailing market prices, acceptable margins, and trade terms.</li><li>
Competitive intelligence: awareness of competing brands, their positioning, and how Salama Auto Parts can differentiate.</li></ul> 
This combination of relationships + real market expertise is essential to drive sustainable daily orders and strengthen Salama Auto Parts&rsquo; presence in a highly competitive spare parts market. 
Requirements 
Drive Sales Generation &ndash; Actively visit workshops, dealers, and retailers daily to promote Salama Auto Parts products, convert visits into orders, and achieve set sales targets. 
Ensure Market Coverage &amp; Expansion &ndash; Maintain strong presence in assigned territory, ensure consistent customer visits, and open new accounts to expand market share. 
Apply Product &amp; Market Knowledge &ndash; Leverage understanding of car makes/models, fast-moving SKUs, pricing trends, and competitor offerings to guide customers and maximize sales.
Build Customer Relationships &ndash; Develop trust-based relationships with mechanics, shop owners, and purchasing managers to secure repeat business and loyalty.
Maintain Pricing &amp; Margin Discipline &ndash; Ensure orders follow approved price lists, protect margins, and avoid unauthorized discounts. 
Provide Market Intelligence &ndash; Report on competitor pricing, promotions, and market activities to support management decision-making. 
Coordinate for Order Fulfillment &ndash; Work with branch sales team and logistics to ensure stock availability, timely delivery, and smooth customer experience. 
Promote New Products &ndash; Actively introduce and push new Salama SKUs (e.g., coolants, radiators) and educate customers on benefits.
Minimum Qualifications and Knowledge<ul><li>
High school certificate acceptable with proven market experience.</li><li>
Strong understanding of automotive spare parts market in KSA (workshops, retailers, distributors).</li><li>
Knowledge of car makes and models and ability to match correct parts.</li><li>
Familiarity with fast-moving vs. slow-moving SKUs, pricing structures, and typical trade margins.</li><li>
Awareness of competitors&rsquo; products, pricing strategies, and promotions.</li></ul>
Minimum Experience (no. of years)<ul><li>
Minimum 3&ndash;5 years&rsquo; outdoor sales experience in automotive spare parts (mandatory).</li><li>
Proven track record of achieving or exceeding sales targets.</li><li>
Established customer relationships and network in the market.</li></ul></div>

Sales Executive - Auto Parts

ITC Infotech

<div>
 
 In this role as a SQL Database Administrator , Candidate must have more than 8+ years of IT experience and will be responsible as a team member for administration, performance tuning, integrity, availability and security of SQL Server databases.
 
 
 
 
 <ul>
 <li>
 Excellent skills in Administration of SQL Server 2012, 2014, 2016, 2017, 2019 and 2022 and A good knowledge of physical/Logical database desig
 </li>
 <li>
 Ability to perform both MS SQL and also operating system performance monitoring and the necessary adjustments
 </li>
 <li>
 .Hands-on experience in the implementation of SQL server High availability features like Always on, SQL Mirroring, SQL Replication and SQL Log shipping
 </li>
 <li>
 Candidate must have good hands-on experience in Cluster Setu
 </li>
 <li>
 Hands-on experience in Active-passive and Active-Active SQL server clustering
 </li>
 <li>
 Good understanding of databases features. Ability to manage multiple tasks including Incident/Ticket management, Upgrades, and Deployments
 </li>
 <li>
 Hand-on experience in implementing DR solutions using the SAN based replication is a must
 </li>
 <li>
 Experience in performing SQL server upgrades and patching to ensure the environment is up to dat
 </li>
 <li>
 Experience in migrating data between different SQL Server versions or instances and integrating data from various source
 </li>
 <li>
 Experience in analyzing and optimizing database performance, including index optimization, query tuning, and resource utilization (Build &amp; Run
 </li>
 <li>
 Hand-on experience in using the tools like SQL profiler, database Tuning Advisor and others
 </li>
 <li>
 Hands-on experience in the Administration of SQL server business intelligence features like SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS) and SQL Server Integration Services (SSIS
 </li>
 <li>
 Hands-on experience in implementing database security features like Dynamic Data Masking SQL server features
 </li>
 <li>
 Good experience in configuring and analyzing performance reports using SQL Server Management Data Warehouse reports and Performance Dashboard reports
 </li>
 <li>
 Good SQL scripting knowledge for automating maintenance tasks
 </li>
 <li>
 Hand-on experience in tuning SQL server Database queries. Good knowledge of network and storage management
 </li>
 <li>
 Good knowledge in linking the SQL server data with other RDBMS like Oracle and Open source databases using linked servers, and Oracle gate way. Conceptual knowledge in Cloud architecture
 </li>
 <li>
 Good to have the required Azure certification
 </li>
 <li>
 Optimization of database system administration activities
 </li>
 <li>
 SQL server integration with other products like Power BI, SCOM and other tools
 </li>
 <li>
 Capacity planning and auditing
 </li>
 <li>
 Hands-on experience implementing database security
 </li>
 <li>
 Excellent critical thinking and problem-solving skills
 </li>
 <li>
 Experience with database log analysis, event viewe
 </li>
 <li>
 Review the existing server&rsquo;s architecture and plan for consolidations without compromising on performance with minimal downtime
 </li>
 <li>
 Conducting cost-saving exercises and planning for database consolidation
 </li>
 <li>
 Experience in working in large OT environments and in a mixed environment of both standard TCP/IP and nonstandard networking protocol
 </li>
 <li>
 Reduction in time to restoration of service outages. Root cause identification and ultimate remediation of the issue. Pre-determination of issues before they becomes outages
 </li>
 </ul>
 
 
 
 
 .
 
</div>

SQL Database Administrator

Amadeus

<div>
 
 Job Title
 
 
 
 Senior Data Engineering Expert
 
 
 We are seeking a highly experienced
 
 Senior Data Engineering Expert
 
 with deep expertise in the Airline IT domain to lead the design, development, modernization, and governance of enterprise-scale data platforms and data integration ecosystems. The ideal candidate will possess extensive experience in building and managing batch and real-time data pipelines, large-scale ETL frameworks, cloud-based data platforms, and enterprise data management solutions supporting airline operations, customer experience, revenue management, commercial analytics, and regulatory reporting.
 
 
 The role requires technical leadership in modern data engineering technologies including Databricks, Apache Spark (Scala), Delta Lake, Data Warehousing, Database Management Systems, Master Data Management (MDM), and enterprise data integration platforms.
 
 
 
 Key Responsibilities
 
 
 
 
 Enterprise Data Platform Architecture
 
 
 
 <ul>
 <li>
 Define and implement enterprise-wide data architecture strategies supporting commercial, digital, customer, and operational business functions.
 </li>
 <li>
 Design scalable, resilient, and secure data platforms that enable analytics, reporting, machine learning, and operational decision-making.
 </li>
 <li>
 Lead the modernization of legacy data environments toward cloud-native Lakehouse architectures and enterprise data ecosystems.
 </li>
 <li>
 Establish data engineering standards, architectural principles, governance frameworks, and best practices across the organization.
 
 
 </li>
 </ul>
 
 Airline Business Data Enablement
 
 
 
 Design and implement scalable enterprise data architectures supporting Airline Commercial and Digital functions,
 
 
 <ul>
 <li>
 Reservations and Passenger Service Systems (PSS)
 </li>
 <li>
 Revenue Management and Pricing
 </li>
 <li>
 Loyalty Programs
 </li>
 <li>
 Customer Relationship Management (CRM)
 </li>
 <li>
 Customer Data Platforms (CDP)
 </li>
 <li>
 Digital Engagement and Mobile Applications
 </li>
 <li>
 Customer Analytics and Personalization
 </li>
 <li>
 Commercial Performance and Regulatory Reporting
 
 
 </li>
 </ul>
 
 Data Engineering &amp; Integration
 
 
 
 <ul>
 <li>
 Architect and develop scalable data ingestion, transformation, and serving layers supporting both batch and real-time processing requirements.
 </li>
 <li>
 Design reusable and metadata-driven ETL/ELT frameworks capable of handling large volumes of transactional, operational, and customer data.
 </li>
 <li>
 Establish enterprise integration patterns leveraging APIs, event-driven architectures, messaging technologies, and hybrid connectivity models.
 </li>
 <li>
 Implement data quality controls, reconciliation mechanisms, lineage tracking, metadata management, and observability capabilities.
 </li>
 <li>
 Drive automation of deployment, orchestration, monitoring, recovery, and operational support processes.
 
 
 </li>
 </ul>
 
 Real-Time Data &amp; Analytics
 
 
 
 <ul>
 <li>
 Design and implement streaming architectures that provide near real-time operational visibility and business insights.
 </li>
 <li>
 Enable event-driven data processing capabilities supporting customer engagement, disruption management, operational performance monitoring, and decision support.
 </li>
 <li>
 Ensure scalability, reliability, and performance of real-time data processing platforms.
 
 
 </li>
 </ul>
 
 Data Management &amp; Governance
 
 
 
 <ul>
 <li>
 Establish enterprise Master Data Management (MDM) strategies and governance frameworks.
 </li>
 <li>
 Define and govern master data domains including customers, flights, airports, aircraft, crew, and enterprise reference data.
 </li>
 <li>
 Drive data stewardship, golden record management, metadata governance, and enterprise data quality initiatives.
 </li>
 <li>
 Ensure compliance with security, privacy, regulatory, and corporate governance requirements.
 
 
 </li>
 </ul>
 
 Leadership &amp; Stakeholder Management
 
 
 
 <ul>
 <li>
 Provide technical leadership and direction across data engineering and architecture teams.
 </li>
 <li>
 Mentor engineers, architects, and technical leads while fostering a culture of engineering excellence.
 </li>
 <li>
 Collaborate closely with business stakeholders, product owners, enterprise architects, airline operations teams, and executive leadership.
 </li>
 <li>
 Lead strategic modernization, cloud transformation, and enterprise data platform initiatives.
 
 
 </li>
 </ul>
 
 Required Qualifications &amp; Technical Expertise
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
 </li>
 <li>
 Experience in Data Engineering, Data Architecture, Data Platform Engineering, or Enterprise Data Management roles.
 </li>
 <li>
 Proven experience delivering enterprise-scale data platforms within complex and highly integrated environments, preferably in the airline, aviation, travel, or transportation industry.
 </li>
 <li>
 Extensive expertise in designing and implementing modern cloud-based data architectures using Microsoft Azure and Databricks Lakehouse technologies.
 </li>
 <li>
 Strong hands-on experience building scalable data engineering solutions leveraging Apache Spark, Scala, Spark SQL, Delta Lake, and modern orchestration frameworks to support both batch and real-time workloads.
 </li>
 <li>
 Demonstrated success in developing enterprise-grade ETL/ELT frameworks, high-performance data pipelines, and large-scale data processing platforms capable of handling operational, commercial, and customer data domains.
 </li>
 <li>
 Deep understanding of enterprise data integration patterns, including API-based integrations, event-driven architectures, messaging technologies, and hybrid integration models connecting operational systems, cloud platforms, and analytical environments.
 </li>
 <li>
 Significant experience in enterprise data warehousing, analytical data modeling, database design, SQL optimization, performance tuning, and large-scale data management across structured and semi-structured datasets.
 </li>
 <li>
 Practical experience establishing Master Data Management (MDM) capabilities, metadata management frameworks, data stewardship processes, golden record management, and enterprise data governance practices.
 </li>
 <li>
 Deep understanding of data quality, lineage, observability, security, privacy, compliance, and governance requirements associated with enterprise data platforms.
 </li>
 <li>
 Proven ability to define architecture standards, lead engineering teams, mentor technical professionals, and drive enterprise-wide modernization and cloud transformation initiatives.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience working with Passenger Service Systems (PSS), Revenue Management, Loyalty Platforms, CRM, CDP, Digital Commerce, and Customer Experience solutions within the airline industry.
 </li>
 <li>
 Experience supporting advanced analytics, artificial intelligence, machine learning, and personalization initiatives through modern data platforms.
 </li>
 <li>
 Exposure to Data Mesh, Data Fabric, or domain-oriented data architecture approaches.
 </li>
 <li>
 Experience operating within large-scale enterprise transformation programs.
 </li>
 <li>
 Relevant certifications in Microsoft Azure, Databricks, Data Engineering, Cloud Architecture, or Enterprise Data Management.
 
 
 </li>
 </ul>
 
 What can we offer you?
 
 
 
 🎯 A critical mission and purpose - At Amadeus, you'll power the future of travel with a critical mission and extraordinary purpose.
 
 
 🌎 A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.
 
 
 🎓 Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, from on-the-job training to formal activities, and daily interactions.
 
 
 🤗 A caring environment &ndash; Amadeus fosters a caring environment that supports both professional growth and personal well-being.
 
 
 💰 A complete rewards offer - Amadeus provides attractive compensation packages, including salary, bonus, caregiving and health benefits.
 
 
 🌟 A flexible working model - Embrace our flexible working model, enabling you to excel wherever and however you work best.
 
 
 🌈 A diverse and inclusive community &ndash; We are committed to enabling each employee to reach their full potential by fostering a culture of belonging and fair treatment.
 
 
 📈 A Reliable Company - Trust and reliability are fundamental to shaping our relationships with customers, partners, and employees.
 
 
 
 Diversity &amp; Inclusion
 
 
 
 Amadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.
 
 
 Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.
 
 
 
 Be aware of recruitment scams
 
 
 
 Amadeus Group never charges fees, requests payment, or asks for financial information during recruitment. All legitimate opportunities are communicated solely through official Amadeus channels, including our careers website. Any payment request or outreach via unofficial platforms (e.g., WhatsApp, Telegram) should be treated as fraudulent.
 
 
</div>

Senior Data Engineering Expert

<div><div><div><div><div><div><div><div>Job Title
</div></div></div></div></div></div></div>Senior Data Engineering Expert
We are seeking a highly experienced Senior Data Engineering Expert with deep expertise in the Airline IT domain to lead the design, development, modernization, and governance of enterprise-scale data platforms and data integration ecosystems. The ideal candidate will possess extensive experience in building and managing batch and real-time data pipelines, large-scale ETL frameworks, cloud-based data platforms, and enterprise data management solutions supporting airline operations, customer experience, revenue management, commercial analytics, and regulatory reporting.
The role requires technical leadership in modern data engineering technologies including Databricks, Apache Spark (Scala), Delta Lake, Data Warehousing, Database Management Systems, Master Data Management (MDM), and enterprise data integration platforms.
<div></div><h2 class="jobSectionHeader">Key Responsibilities
</h2><h3 class="jobSectionHeader">Enterprise Data Platform Architecture
</h3><ul><li>Define and implement enterprise-wide data architecture strategies supporting commercial, digital, customer, and operational business functions.
</li><li>Design scalable, resilient, and secure data platforms that enable analytics, reporting, machine learning, and operational decision-making.
</li><li>Lead the modernization of legacy data environments toward cloud-native Lakehouse architectures and enterprise data ecosystems.
</li><li>Establish data engineering standards, architectural principles, governance frameworks, and best practices across the organization.
</li></ul><h3 class="jobSectionHeader">Airline Business Data Enablement
</h3>Design and implement scalable enterprise data architectures supporting Airline Commercial and Digital functions,
<ul><li>Reservations and Passenger Service Systems (PSS)
</li><li>Revenue Management and Pricing
</li><li>Loyalty Programs
</li><li>Customer Relationship Management (CRM)
</li><li>Customer Data Platforms (CDP)
</li><li>Digital Engagement and Mobile Applications
</li><li>Customer Analytics and Personalization
</li><li>Commercial Performance and Regulatory Reporting
</li></ul><h3 class="jobSectionHeader">Data Engineering &amp; Integration
</h3><ul><li>Architect and develop scalable data ingestion, transformation, and serving layers supporting both batch and real-time processing requirements.
</li><li>Design reusable and metadata-driven ETL/ELT frameworks capable of handling large volumes of transactional, operational, and customer data.
</li><li>Establish enterprise integration patterns leveraging APIs, event-driven architectures, messaging technologies, and hybrid connectivity models.
</li><li>Implement data quality controls, reconciliation mechanisms, lineage tracking, metadata management, and observability capabilities.
</li><li>Drive automation of deployment, orchestration, monitoring, recovery, and operational support processes.
</li></ul><h3 class="jobSectionHeader">Real-Time Data &amp; Analytics
</h3><ul><li>Design and implement streaming architectures that provide near real-time operational visibility and business insights.
</li><li>Enable event-driven data processing capabilities supporting customer engagement, disruption management, operational performance monitoring, and decision support.
</li><li>Ensure scalability, reliability, and performance of real-time data processing platforms.
</li></ul><h3 class="jobSectionHeader">Data Management &amp; Governance
</h3><ul><li>Establish enterprise Master Data Management (MDM) strategies and governance frameworks.
</li><li>Define and govern master data domains including customers, flights, airports, aircraft, crew, and enterprise reference data.
</li><li>Drive data stewardship, golden record management, metadata governance, and enterprise data quality initiatives.
</li><li>Ensure compliance with security, privacy, regulatory, and corporate governance requirements.
</li></ul><h3 class="jobSectionHeader">Leadership &amp; Stakeholder Management
</h3><ul><li>Provide technical leadership and direction across data engineering and architecture teams.
</li><li>Mentor engineers, architects, and technical leads while fostering a culture of engineering excellence.
</li><li>Collaborate closely with business stakeholders, product owners, enterprise architects, airline operations teams, and executive leadership.
</li><li>Lead strategic modernization, cloud transformation, and enterprise data platform initiatives.
</li></ul><div></div><h2 class="jobSectionHeader">Required Qualifications &amp; Technical Expertise
</h2><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
</li><li>Experience in Data Engineering, Data Architecture, Data Platform Engineering, or Enterprise Data Management roles.
</li><li>Proven experience delivering enterprise-scale data platforms within complex and highly integrated environments, preferably in the airline, aviation, travel, or transportation industry.
</li><li>Extensive expertise in designing and implementing modern cloud-based data architectures using Microsoft Azure and Databricks Lakehouse technologies.
</li><li>Strong hands-on experience building scalable data engineering solutions leveraging Apache Spark, Scala, Spark SQL, Delta Lake, and modern orchestration frameworks to support both batch and real-time workloads.
</li><li>Demonstrated success in developing enterprise-grade ETL/ELT frameworks, high-performance data pipelines, and large-scale data processing platforms capable of handling operational, commercial, and customer data domains.
</li><li>Deep understanding of enterprise data integration patterns, including API-based integrations, event-driven architectures, messaging technologies, and hybrid integration models connecting operational systems, cloud platforms, and analytical environments.
</li><li>Significant experience in enterprise data warehousing, analytical data modeling, database design, SQL optimization, performance tuning, and large-scale data management across structured and semi-structured datasets.
</li><li>Practical experience establishing Master Data Management (MDM) capabilities, metadata management frameworks, data stewardship processes, golden record management, and enterprise data governance practices.
</li><li>Deep understanding of data quality, lineage, observability, security, privacy, compliance, and governance requirements associated with enterprise data platforms.
</li><li>Proven ability to define architecture standards, lead engineering teams, mentor technical professionals, and drive enterprise-wide modernization and cloud transformation initiatives.
</li></ul><div></div><h2 class="jobSectionHeader">Preferred Qualifications
</h2><ul><li>Experience working with Passenger Service Systems (PSS), Revenue Management, Loyalty Platforms, CRM, CDP, Digital Commerce, and Customer Experience solutions within the airline industry.
</li><li>Experience supporting advanced analytics, artificial intelligence, machine learning, and personalization initiatives through modern data platforms.
</li><li>Exposure to Data Mesh, Data Fabric, or domain-oriented data architecture approaches.
</li><li>Experience operating within large-scale enterprise transformation programs.
</li><li>Relevant certifications in Microsoft Azure, Databricks, Data Engineering, Cloud Architecture, or Enterprise Data Management.
</li></ul>What can we offer you?
A critical mission and purpose - At Amadeus, you'll power the future of travel with a critical mission and extraordinary purpose.
A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.
Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, from on-the-job training to formal activities, and daily interactions.
A caring environment &ndash; Amadeus fosters a caring environment that supports both professional growth and personal well-being.
A complete rewards offer - Amadeus provides attractive compensation packages, including salary, bonus, caregiving and health benefits.
A flexible working model - Embrace our flexible working model, enabling you to excel wherever and however you work best.
A diverse and inclusive community &ndash; We are committed to enabling each employee to reach their full potential by fostering a culture of belonging and fair treatment.
A Reliable Company - Trust and reliability are fundamental to shaping our relationships with customers, partners, and employees.
#LI-EMEA
Diversity &amp; Inclusion
Amadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.
Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.
Be aware of recruitment scams 
 
Amadeus Group never charges fees, requests payment, or asks for financial information during recruitment. All legitimate opportunities are communicated solely through official Amadeus channels, including our careers website. Any payment request or outreach via unofficial platforms (e.g., WhatsApp, Telegram) should be treated as fraudulent.</div>

Explore 53+ Business intelligence analyst in Jeddah this July. Find roles across top companies and apply now to boost your career.

53 business intelligence analyst jobs In Jeddah

Data Analytics and AI Specialist

Statistical Analyst

Specialist - Operations Performance

Sales Executive - Auto Parts

SQL Database Administrator

Senior Data Engineering Expert

Senior Data Engineering Expert