business analyst

data scientist

lead operations data & performance analyst Jobs in Doha

lead operations data & performance analyst

big data platform developer

business analyst (sap)

data analyst

Madre Integrated Engineering

<div>
 <p>
  <strong>
   Position:
  </strong>
  Junior Data Analyst
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Doha, Qatar
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Us:
  </strong>
 </p>
 <p>
  We are a leading HR outsourcing company headquartered in Doha, Qatar. We provide end-to-end workforce solutions across diverse industries in the region.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Overview:
  </strong>
 </p>
 <p>
  We are looking for a
  <strong>
   Junior Data Analyst
  </strong>
  to join our dynamic team. The candidate will support in collecting, analyzing, and interpreting data to help drive business insights and decision-making.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Collect, clean, and organize data from multiple sources.
  </li>
  <li>
   Perform basic statistical analysis and generate reports.
  </li>
  <li>
   Prepare dashboards and data visualizations to present insights.
  </li>
  <li>
   Support senior analysts and management with ad-hoc data requests.
  </li>
  <li>
   Ensure accuracy and integrity of datasets.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, or related field.
  </li>
  <li>
   1&ndash;2 years of relevant experience (internships/fresh graduates with strong skills will be considered).
  </li>
  <li>
   Proficiency in MS Excel, SQL, and data visualization tools (Power BI/Tableau preferred).
  </li>
  <li>
   Strong analytical thinking and attention to detail.
  </li>
  <li>
   Excellent communication and problem-solving skills.
  </li>
 </ul>
 <p>
  <strong>
   What We Offer:
  </strong>
 </p>
 <ul>
  <li>
   Opportunity to grow in a fast-paced HR outsourcing company.
  </li>
  <li>
   Professional development and training.
  </li>
  <li>
   Collaborative and multicultural work environment.
  </li>
 </ul>
 <p>
 </p>
</div>


Junior Data Analyst

Keeta

<div>
 <p>
  <strong>
   What You'll Do
  </strong>
 </p>
 <p>
  1. Responsible for collecting, organizing, and analyzing sales data, regularly producing sales analysis reports to support business decision-making.
 </p>
 <p>
  2. Participate in the construction and maintenance of sales data dashboards, assisting in building data management systems to improve data efficiency and visualization.
 </p>
 <p>
  3. Support supervisors in building, optimizing, and maintaining sales management data, driving efficiency improvement through data-driven management.
 </p>
 <p>
  4. Responsible for the collection, organization, and archiving of sales-related data to ensure data accuracy and integrity.
 </p>
 <p>
  5. Handle various sales support tasks as assigned by supervisors, including but not limited to data statistics, report generation, process optimization, and daily administrative support.
 </p>
 <p>
  6. Assist the team in tracking business progress, collecting and feeding back issues, ensuring smooth information channels and timely issue resolution.
 </p>
 <p>
  <strong>
   What We Need From You
  </strong>
 </p>
 <p>
  1. Bachelor&rsquo;s degree or above, major in data analysis, statistics, finance, or related fields is preferred.
 </p>
 <p>
  2. 1+ years of relevant experience in sales support, data analysis, or operations management.
 </p>
 <p>
  3. Proficient in data analysis and visualization tools experience in dashboard construction is a plus.
 </p>
 <p>
  4. Strong communication and coordination skills, with a collaborative spirit to effectively support cross-functional teamwork.
 </p>
 <p>
  5. Detail-oriented, with strong data sensitivity, analytical, and problem-solving skills.
 </p>
 <p>
  6. Fluent in English and Arabic (written and verbal) for professional communication and documentation
 </p>
 <p>
  <strong>
   What Makes This Role Exciting
  </strong>
 </p>
 <p>
  1. Participate in the data-driven management construction of Meituan&rsquo;s global business, driving efficient operations for the sales team.
 </p>
 <p>
  2. Experience an international and diverse work environment, contributing to the rapid growth of business from 0 to 1 in the Middle East market.
 </p>
 <p>
  <strong>
   Preference
  </strong>
 </p>
 <p>
  1. Experience in sales data analysis, dashboard construction, or data management systems is preferred.
 </p>
 <p>
  2. Experience in process optimization, training coordination, or issue ticket management is a plus.
 </p>
 <p>
  <strong>
   Why Join Keeta
  </strong>
 </p>
 <p>
  1. Keeta is redefining the future of food delivery with a bold vision and innovative spirit. As a fast-scaling brand under Meituan's global ambition, we offer a unique blend of stability and startup energy, providing boundless opportunities for personal and professional growth. Whether you want to specialize in your field or gain cross-functional experience, Keeta empowers you to take charge of your career.
 </p>
 <p>
  2. As we expand globally, we are committed to building a workplace that reflects our unique culture while incorporating global best practices. You'll be part of a company that's transforming the delivery industry while supporting local communities, empowering merchants, and delivering outstanding customer experiences.
 </p>
 <p>
  3. At Keeta, you'll collaborate with a passionate and pragmatic global team across over 94 countries, bringing diverse perspectives that drive creativity and innovation. We believe diversity is our strength and it pushes us to deliver better solutions for our customers and partners in Hong Kong, Saudi Arabia, and beyond.
 </p>
 <p>
  4. Keeta offers limitless career growth and equal development opportunities, empowering you to grow as the company grows. Every day presents an opportunity for you to make a meaningful impact, grow professionally, and be part of something extraordinary. You'll thrive in a dynamic environment where every contribution is valued. Together, let's build the future of food delivery.
 </p>
</div>


Data Analyst

PROZ TECHNOLOGIES

<p>Indeed Job Post:</p><p><b>Job Title:</b> Cyber Data Analyst<br/><b>Location:</b> Doha, Qatar</p><p><b>Job Overview:</b><br/>We are seeking a <b>Cyber Data Analyst</b> to analyze large datasets, generate visualizations, and support threat detection activities. The role combines cybersecurity operations with advanced data analytics.</p><p><b>Key Responsibilities:</b></p><ul><li>Collect, analyze, and report cybersecurity data</li><li>Conduct data quality checks &amp; ensure accuracy</li><li>Develop dashboards, reports, &amp; visualization tools</li><li>Automate reporting for cybersecurity metrics</li><li>Analyze datasets to identify threats &amp; anomalies</li><li>Mentor junior analysts &amp; engineers</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s in Data Science, Cybersecurity, or Computer Science</li><li>5+ years of SOC/Cybersecurity experience with a focus on data analysis</li><li>Proficiency in visualization tools (Power BI, Tableau)</li><li>Strong problem-solving &amp; analytical skills</li></ul><p><b>About Proztec:</b><br/>Proz Technologies (PROZTEC) is an ICT leader in Doha, Qatar with 300+ employees. Join us and work on exciting cybersecurity data-driven projects. Apply now with your CV at Recruitment@proztec.com</p><p>Job Type: Full-time</p><p>Pay: QAR15,000.00 - QAR18,000.00 per month</p>

Cyber Data Analyst

HJH Holding

<p><b>Urgent Requirement: Data Scientist/Analyst</b></p><p>Requirements</p><p>Experience: 4+ years in data science, analytics, or machine learning roles within fintech, banking, payments, or e-commerce. Experience in BNPL or consumer lending is a strong plus.</p><p>Start-Up Mindset: Comfortable operating in a fast-paced, evolving environment with shifting priorities and the need for rapid experimentation.</p><p>Skills:</p><p>&middot; Proficiency in Python, R, or similar programming languages for data analysis and modeling.</p><p>&middot; Strong SQL skills and experience with data warehousing (e.g., BigQuery, Snowflake, Redshift).Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).</p><p>&middot; Experience with BI tools (e.g., Power BI, Tableau, Looker) for visualization.Strong understanding of statistical analysis, experimental design, and hypothesis testing.</p><p>&middot; Ability to clearly communicate complex analyses to non-technical stakeholders.Industry</p><p>&middot; Knowledge: Understanding of GCC fintech regulations, QCB compliance requirements, and BNPL-specific risk modeling considerations.Tech-Savvy:</p><p>&middot; Understanding of databases, debugging tools, and software development processes.</p><p>Communication: Excellent written and verbal communication skills in English (Arabic is a plus).</p><p>Education: Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or a related quantitative field.</p><p>If you are interested, please share your updated CV at hr@paylaterapp.com or WhatsApp no: 60003723</p><p>Job Type: Full-time</p><p>Pay: Up to QAR6,000.00 per month</p>

Data Scientist/Analyst

North Oil Company Qatar

<div>
 Job description:
 <br/>
 <br/>
 <p>
  <strong>
   &nbsp;
  </strong>
  <strong>
   SITUATION IN ORGANIZATION
  </strong>
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  N+1: VP, Digital Business Solutions
 </p>
 <p>
  N+2: Head, Data Management
 </p>
 <p>
  N+3: Lead, Data Governance
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   ACCOUNTABILITIES
  </strong>
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Purpose of the Role:
  </strong>
 </p>
 <p>
  The Data Governance Analyst plays a crucial role in supporting the implementation and maintenance of robust data governance practices across NOC&rsquo;s business entities and functions. By collaborating closely with business and technical stakeholders, the analyst facilitates adherence to enterprise data governance policies, standards, and frameworks. Contribute to the development and implementation of data catalogs, data quality rules, and data lineages by leveraging leading data governance tools, based on business requirements. This support empowers users to utilize discoverable, organized and trusted data for operations, projects and digital use cases.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Key Accountabilities:
  </strong>
 </p>
 <p>
  <strong>
   &nbsp;
  </strong>
 </p>
 <ul>
  <li>
   Support in the development and compliance of policies, frameworks, processes, and standards to enhance Data Governance in each Business Entity.
  </li>
  <li>
   Collaborate with business and technical stakeholders to facilitate data discovery, inputs gathering, and&nbsp;defining data requirements, ensuring compliance with data governance policies, processes and standards.
  </li>
  <li>
   Work with Data Governance Tools such as Informatica and Microsoft Purview to implement data&nbsp;governance activities in support of business operations, projects and use cases.
  </li>
  <li>
   Proactively drive personal learning and continuous improvement in data governance topics and technologies.
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   JOB DIMENSIONS
  </strong>
 </p>
 <p>
  &nbsp;
 </p>
 <ul>
  <li>
   Data governance on around 120 data domains and 600 data families spread across 17 departments.
  </li>
  <li>
   Data management framework and roadmap, as well as data governance policies, processes, standards,&nbsp;initiatives and tools.
  </li>
  <li>
   Data governance for critical/priority data sources, Key Data Elements (KDEs), digital use cases, data platforms and data-related projects and initiatives.
  </li>
  <li>
   Encompasses all types of data; including structured, Semi Structured and unstructured data, as well as&nbsp;master, transactional and reference data.
  </li>
  <li>
   Frequent engagement and close collaboration with DBS teams, data owners, stewards and business user, project/use case teams, and vendors.
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   ACTIVITIES
  </strong>
 </p>
 <p>
  &nbsp;
 </p>
 <ol>
  <li>
   <strong>
    Support in the development and compliance of policies, frameworks, processes, and standards to enhance Data Governance in each Business Entity:
   </strong>
  </li>
 </ol>
 <ul>
  <li>
   Assist in updating and maintaining enterprise data governance policies, processes, standards, and guidelines.
  </li>
  <li>
   Help implement data governance frameworks aligned with upstream oil and gas industry standards across business entities (i.e. DAMA, PPDM).
  </li>
  <li>
   Support in executing data governance change management activities, including:
  </li>
  <li>
   Communicating and raising awareness on data governance practices across the company.
  </li>
  <li>
   Improving data governance adoption through the development of workshop and training materials.
  </li>
 </ul>
 <p>
  2-
  <strong>
   Collaborate with business and technical stakeholders to facilitate data discovery, inputs gathering, and defining data requirements, ensuring compliance with data governance policies, processes and standards :
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Collaborate and support the Data Governance Team, data owners, data stewards, business users, and digital/project teams to:
   </strong>
  </li>
  <li>
   Embed data governance practices into their operations, projects and digital use cases.
  </li>
  <li>
   Identify their data requirements and obtain all business/technical inputs for implementation, while ensuring alignment to enterprise data governance practices and standards.
  </li>
  <li>
   Define data quality rules and translate them to technical requirements for implementation.
  </li>
  <li>
   Develop data catalogs pertaining to their data families, data source, projects and use cases.
  </li>
  <li>
   Liaison between business stakeholders and technical application/data management teams to support them with:
  </li>
  <li>
   Understanding and interpreting their business and technical issues, needs and requirements.
  </li>
  <li>
   Mapping their data requirements to the appropriate data domains and data families and accordingly&nbsp;determine the data owners, data stewards and data classifications.
  </li>
  <li>
   Facilitating data access and usage approvals for projects/use cases based on their data requirements.
  </li>
  <li>
   Support data certification processes by ensuring the adequate validation of any migrated data against source-to-target mapping specifications during projects and use cases as per data governance standards
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  3-
  <strong>
   Work with Data Governance Tools such as Informatica (i.e. Axon, EDC, IDQ, CDG, CDQ) and Microsoft
  </strong>
 </p>
 <p>
  <strong>
   Purview to implement data governance activities in support of business operations, projects and use cases:
  </strong>
 </p>
 <ul>
  <li>
   Build and maintain enterprise data catalogs, including data hierarchies, business glossaries, data roles (data owners and stewards) and other business and technical metadata across all key/priority data sources.
  </li>
  <li>
   Support in the creation of end-to-end data lineage representing how data flows and transforms between systems.
  </li>
  <li>
   Perform data profiling to identify data insights, statistics and patterns in data.
  </li>
  <li>
   Implement and configure business-defined low-complexity data quality rules to measure, assess and&nbsp;continuously monitor data quality across Key Data Elements (KDEs).
  </li>
 </ul>
 <p>
  <strong>
   4-Proactively drive personal learning and continuous improvement in data governance topics and technologies:
  </strong>
 </p>
 <ul>
  <li>
   Stay abreast on emerging technologies and trends in upstream oil and gas data governance and data management (e.g. OSDU, CDF, SAP Data Intelligence, AI, etc.).
  </li>
  <li>
   Actively engage in trainings to enhance knowledge and expertise in Data Governance Tools (e.g.Informatica and Microsoft Purview), and data management technologies. As well as participate in professional development programs and skill enhancement trainings to support business stakeholders.
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   CONTEXT AND ENVIRONMENT
  </strong>
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  Al Shaheen Oil Field (ALS) produces 300,000 bopd from several complex reservoirs through more than 400
 </p>
 <p>
  wells and 38 platforms.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   QUALIFICATIONS &amp; EXPERIENCE REQUIRED
  </strong>
 </p>
 <p>
  &nbsp;
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree from an accredited university in computer science, data science, information systems, or an engineering/business related equivalent.
  </li>
  <li>
   6 years of experience in IT related roles, with 2+ years of experience in data governance or data management, preferably in upstream oil and gas operations.
  </li>
  <li>
   Strong understanding of upstream oil &amp; gas operations and data governance concepts (i.e. metadata management, data quality, etc.).
  </li>
  <li>
   Any experience working with data governance tools (Informatica, Microsoft Purview, Collibra) is a bonus.
  </li>
  <li>
   Experience working on data-related projects (e.g. data governance, data analysis, master data management, data architecture, data migration, etc.).
  </li>
  <li>
   Solid understanding on data modelling, applications architecture and information security principles.
  </li>
  <li>
   Intermediate proficiency in database management systems (e.g. SQL Server, Oracle, SAP ECC, SAP HANA).
  </li>
  <li>
   Familiarity with data integration tools, ETL processes, and data warehousing solutions.
  </li>
  <li>
   Experience in project management and stakeholder management.
  </li>
  <li>
   Fluent in English both spoken and written.
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
</div>


Data Governance Analyst

Qatar Airways

<div><div><div><div><div><div><div><div>Job title
</div><div>Lead Operations Data &amp; Performance Analyst
</div></div><div><div>Ref #
</div><div>222873
</div></div><div><div>Location
</div><div>Qatar - Doha
</div></div><div><div>Job family
</div><div>Cargo &amp; Airport Operations
</div></div><div><div><ul><li>Closing date: 01-Sep-2025</li></ul><br>
</div></div></div></div></div><div><div><div><div><div><p><b>About the role:</b></p>
<p>Responsible for the performance analysis (proactive and reactive), validation and reporting of AOCC operational data in order to support decision making for procedural and conceptual improvements. The job also enhances the monitoring of the AOCC personnel performance on OPS data handling and hard resources allocation actions, with the scope to achieve a deeper insight on the improvement capabilities. Furthermore, the job plays a key role on the transformation of the AOCC reporting scheme.</p>
<p><b>Key responsibilities</b></p>
<ul><li>Provide technical expertise to the information system team in major application deployment by assisting in designing process to arrive at high performance and optimal operational solutions.</li>
<li>Develop consolidate operational dashboards, analyze and report of hard resources allocation related data and trends to the management team based on AOCC actions (real time vs planning, historic, etc.)</li>
<li>Reduce manual operational jobs by ensuring automation of as many operational procedures for monitoring and supporting the day of operation responsibilities of AOCC.</li>
<li>Develop supporting material and perform training to raise the data driven approach to decision making.</li>
<li>Produce reports and analysis on internal performance of the AOCC department and AOCC personnel against the set KPls and other performance metrics. Ensure that this information is timely, accurate and highlights areas of opportunity or risk.</li>
<li>To proactively research of operational issues to determine a source of data discrepancy or a trend and identify solutions for prevention of future discrepancy.</li>
<li>Analyse information using various statistical methods, highlight patterns and trends within the data suggesting conclusions. Support Line Manager by designing and presenting conclusions gained from analysing data using statistical tools.</li>
<li>Develop statistical / supporting data as advised by the management through presentations, business cases and management information reports.</li>
<li>Attend Daily/ Weekly/ Monthly meetings with managers to understand the business requirements. Meet with business to discuss operational projects briefing providing current and targeted data that will help the business to set the KPl's outlined by the management.</li>
<li>Collaborate with other data analytics and reporting teams to improve overall operational reporting capability and identify opportunities for improvements using alternative data sources.</li>
<li>Design; develop automated reporting using the available corporate applications. Capture, analyse and present the data.</li>
<li>Provide guidance to the AOCC duty team on how to use applicable data &amp; information management and reporting systems.</li>
<li>Perform other department duties related to the position as directed by the Head of the Department.</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3></div></div><div><div><div><div><p><b>About you:</b></p>
<ul><li>Bachelor's Degree or Equivalent with Minimum 4 years of job-related experience.</li>
<li>Experienced in Airport Operations.</li>
<li>Experienced in the roles and concept of operations control Centres.</li>
<li>Strong analytical and presentation skills</li>
<li>Data Analysis.</li>
<li>Data visualization</li>
<li>Excellent knowledge of the Microsoft office suite.</li>
<li>Excellent knowledge of Microsoft Power Bl.</li>
<li>Knowledge on Airport Operations Systems (AOS).</li>
<li>Knowledge on Airport Operational Database (AODB).</li>
<li>Database Performance Tuning.</li>
<li>Database Management.</li>
<li>Software Development Fundamentals.</li>
<li>Data Maintenance.</li>
<li>Database Security.</li>
<li>Process Improvement.</li>
<li>System Administration.</li><br>
</ul></div></div><div></div><div><div><br>
<div><b>About Qatar Airways Group
</b></div><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.<br>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=222873</div></div></div></div></div></div></div></div>

Lead Operations Data & Performance Analyst

<div><div><div><div><div><div><div><div>Job title
</div><div>Senior Data Science Analyst - Qatari Nationals only
</div></div><div><div>Ref #
</div><div>212062
</div></div><div><div>Location
</div><div>Qatar - Doha
</div></div><div><div>Job family
</div><div>Corporate &amp; Commercial
</div></div><div><div><ul><li>Closing date: 08-Sep-2025</li></ul><br>
</div></div></div></div></div><div><div><div><div><div><p><b>About the role (Qatari Nationals Only)</b></p>
<p>As a Senior Data Science Analyst, you will be responsible to lead a team of analysts to design and build analytics methodologies, solutions and products to deliver value where data is the basis for solutions. Balance numerous facets of data including, for example, technical distinctions across sets of data, maths and statics, software such as machine learning and connect them to business context and value by developing strategies and processes.</p>
<p>Other key responsibilities are:</p>
<ul><li> Plans strategies to operationalize revenue managements goals of applying more data, science and technology to deliver results to meet revenue targets including RASK.</li></ul>
<ul><li> Leads a team of analysts to deliver reliable, on time, revenue management and commercial data to reduce the time between a data point being generated and its usefulness to the business. Build and execute solid analytics work plans, gather and organize large and complex data sets, perform relevant analysis including data exploration and data modelling. Build and track a list of data sources available within the company and understand interrelations between different datasets to drive value.</li></ul>
<ul><li> Translates sophisticated data science concepts in an understandable and meaningful manner to help the business adopt and transform.</li></ul>
<ul><li> Works with traditional revenue management data sources including for example pricing, inventory and market share, bringing skills in computer science, artificial intelligence statistics and machine learning to deliver solutions to deliver revenue.</li></ul>
<ul><li> Interprets the requirements of Revenue Management and other stakeholders, analysts and specialists to develop efficient and reliable solutions that to improve the quality of machine and analyst decisions to delivery revenue</li></ul>
<ul><li> Collaborate with IT stakeholders, data analysts lead IT investigations from within the Organisation to create synergies and, where possible and applicable, adopt common tools and technologies to analyse digital value</li></ul>
<ul><li> Compile statistical/supporting data to communicate findings, critical information and insights to business and make relevant recommendations to adapt existing business strategies.</li></ul>
<ul><li> Provide comprehensive reports with recommendation for management review and decision making. Working with IT and the Business, assesses and report on the benefits of data science tools, solutions and results to contribute to future investment or business case decisions.</li></ul>
<ul><li> Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths in order to propose solutions and strategies to new data processing challenges. Evaluate and problem solve through data analysis by working closely with colleagues to identify data related problems and mend where necessary.</li></ul>
<ul><li> Identify challenges and opportunities gained from the analysis and conclude cases by proposing business improvement solutions. Use and apply modern development tools and write code to deliver data enabled solutions that drive personalization.</li></ul>
<ul><li> Seeks improvements in data storage and processing and contributes to implementation plans for data lake and cloud storage solutions.</li></ul>
<ul><li> Understands Data Science as an evolving field, working with departmental leadership to continuously seek out new solutions to deliver a competitive advantage.</li></ul>
<ul><li> Develops constructive and collaborative relationships with other areas of Commercial and IT to supports the vision to deliver 5 star connections with our customers every time</li></ul>
<ul><li> Work closely with Senior Data Science Analysts to build solutions.</li></ul>
<ul><li> As a problem solver, works with other RM team members to understand business challenges, applying analytical curiosity to go beyond immediate requirements to find undiscovered insights that, through the use of data will deliver on the commercial and revenue management vision.</li></ul>
<ul><li> Guide the RM organization towards to ultimate goal of increased revenue by supporting the managers with convincing evidence.</li></ul>
<p><b>Be part of an extraordinary story</b></p>
<p>Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.</p>
<p>Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what&rsquo;s never been done before.</p>
<p>Together, everything is possible.</p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3></div></div><div><div><div><div><p><b>Qualifications</b></p>
<p><b>About You</b></p>
<p>We are looking for a passionate and experienced professional to join the Revenue Management Team.</p>
<ul><li> Bachelor&rsquo;s degree or Master&rsquo;s degree in related disciplines such as Mathematics and Statistics, Computer Science or Engineering is essential</li></ul>
<ul><li> 6+ years of job-related experience</li></ul>
<ul><li> Expert understanding of statistics, operations research, forecasting and optimization methods</li></ul>
<ul><li> Very good understanding of the airline business process. This includes Network Planning and Scheduling, e-commerce, Marketing and Sales</li></ul>
<ul><li> Excellent communication and negotiation skills. Command of English language</li></ul>
<ul><li> Expert understanding of IT related topics.</li></ul>
<p><b>About Qatar Airways Group</b></p>
<p>Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.</p>
<p>So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.</p>
<p><b>How to Apply</b></p>
<p>If you are interested to submit your application and feel you are a good fit for this role, please complete our application form and upload your CV for our review and consideration.</p><br>
</div></div><div></div><div><div><br>
<div><b>About Qatar Airways Group
</b></div><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.<br>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=212062</div></div></div></div></div></div></div></div>

Senior Data Science Analyst - Qatari Nationals only

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