94 Data Team jobs in Qatar

Job title

Senior Data Science Analyst

Ref #

Location

Qatar - Doha

Job family

Pilots & Flight Operations

• Closing date: 04-Nov-2025

About the role:

Qatar Airways are pleased to announce an incredibly exciting opportunity to join our Flight Operations Support Services team as a Senior Data Science Analyst to be based in Doha, Qatar.

As a Senior Data Science Analyst, you will apply advanced analytical techniques to enhance the efficiency of Flight Operations and Technical Operations (CAMO). You will leverage on a wide range of methodologies, including machine learning, optimization, root cause analysis, and prototyping decision-support tools to deliver actionable insights and provide strategic recommendations to senior management and business stakeholders.

Specific responsibilities for the role include:

• Use a combined knowledge of data science, statistics, machine learning and optimization techniques to enhance Flight Operations and Technical Operations (CAMO) analytics capabilities.
• Develop and maintain strong business acumen within the Flight Operations and Technical Operations (CAMO) analytical scope, especially in the areas of on-time performance, flight schedule, predictive maintenance and impact on operational costs.
• Responsible for delivering multiple, highly complex and advanced analyses in a timely, efficient manner in collaboration with Flight and technical Operations' teams to understand contextual problems and deliver innovative solutions that address business needs.
• Lead data analysis activities using available sources to identify trends and patterns, deliver deeper operational insights to make predictions and generate data-driven recommendations.
• Develop and deploy machine learning models and optimization models.
• Propose and develop data-driven support prototypes based on machine learning and Optimization for further evaluation by the business users.
• Leverage emerging tools, open-source frameworks, and cloud technologies (including Vertex AI and Databricks) to create predictive and prescriptive analytics solutions. Familiarity with the Skywise platform is considered a plus.

Be part of an extraordinary story

Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You'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. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what's never been done before.

Together, everything is possible.

About you

The successful candidate will have the following skills and qualifications:

• Bachelor's Degree in Mathematics, Statistics, Data Science, Operations Research, Artificial Intelligence.
• Minimum of 5 years of relevant experience and minimum 3 years' experience in Data Science role.
• Experience in applying statistics, advanced analytical methods, and operations research to solve business problems.
• Excellent presentation skills and data visualization.
• Proficiency in Python, R, and SQL for data preparation, querying, and ML model development.
• Hands-on experience with GCP Vertex AI and frameworks like TensorFlow, PyTorch, and Keras.
• Experience in Optimization software tools such as Cplex, Gurobi, Google OR-Tools.
• Advanced level of Microsoft Office (Word, Excel, PowerPoint. Outlook) skills.
• Experience with top-tier BI tools such as Qlik, Power BI, Tableau.
• Experience with the Skywise platform will be considered an asset.
• Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of partners, senior managers, and subject matter experts.

About Qatar Airways Group

Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We've grown fast, broken records and set trends that others follow. We don't slow down by the fear of failure. Instead, we dare to achieve what's never been done before. So whether you'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.

How to apply

If you're ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.

About Qatar Airways Group

Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We've grown fast, broken records and set trends that others follow. We don't slow down by the fear of failure. Instead, we dare to achieve what's never been done before.

So whether you'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.

Job title

Senior Data Science Analyst - Qatari Nationals only

Ref #

Location

Qatar - Doha

Job family

Corporate & Commercial

• Closing date: 13-Oct-2025

*About The Role (Qatari Nationals Only) *
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.

Other Key Responsibilities Are:

• Plans strategies to operationalize revenue managements goals of applying more data, science and technology to deliver results to meet revenue targets including RASK.
• 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.
• Translates sophisticated data science concepts in an understandable and meaningful manner to help the business adopt and transform.
• 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.
• 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
• 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
• Compile statistical/supporting data to communicate findings, critical information and insights to business and make relevant recommendations to adapt existing business strategies.
• 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.
• 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.
• 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.
• Seeks improvements in data storage and processing and contributes to implementation plans for data lake and cloud storage solutions.
• Understands Data Science as an evolving field, working with departmental leadership to continuously seek out new solutions to deliver a competitive advantage.
• 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
• Work closely with Senior Data Science Analysts to build solutions.
• 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.
• Guide the RM organization towards to ultimate goal of increased revenue by supporting the managers with convincing evidence.

Be part of an extraordinary story
Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You'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.

Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what's never been done before.

Together, everything is possible.

Qualifications
Qualifications
*About You *
We are looking for a passionate and experienced professional to join the Revenue Management Team.

• Bachelor's degree or Master's degree in related disciplines such as Mathematics and Statistics, Computer Science or Engineering is essential
• 6+ years of job-related experience
• Expert understanding of statistics, operations research, forecasting and optimization methods
• Very good understanding of the airline business process. This includes Network Planning and Scheduling, e-commerce, Marketing and Sales
• Excellent communication and negotiation skills. Command of English language
• Expert understanding of IT related topics.

*About Qatar Airways Group *
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We've grown fast, broken records and set trends that others follow. We don't slow down by the fear of failure. Instead, we dare to achieve what's never been done before.

So whether you'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.

*How To Apply *
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.

*About Qatar Airways Group *
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We've grown fast, broken records and set trends that others follow. We don't slow down by the fear of failure. Instead, we dare to achieve what's never been done before.

So whether you'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.

Job Description:

We are looking for a
motivated and detail-oriented Data Management Intern
to join our team. This role is ideal for freshers who have a basic understanding or academic exposure to data management, Excel, and data hygiene practices. The intern will support the team in maintaining accurate, clean, and organized datasets that are essential for business reporting and decision-making.

Key Responsibilities:

• Assist in collecting, organizing, and maintaining large volumes of data.
• Perform
  data cleaning
  and validation tasks to ensure accuracy and consistency.
• Use
  Microsoft Excel
  (including formulas, filters, pivot tables, etc.) to manage and analyze datasets.
• Regularly audit databases to ensure
  data hygiene
  and remove or correct inaccurate records.
• Support the preparation of reports and dashboards by providing clean and reliable data.
• Collaborate with cross-functional teams to gather data requirements and clarify inconsistencies.
• Document data processes and contribute to improving data handling procedures.

Requirements:

• Fresher
  – recent graduate or final year student in any discipline (preferably Computer Science, Business, Statistics, or related fields).
• Working knowledge of
  Microsoft Excel
  – including formulas, formatting, sorting, and basic data analysis tools.
• Basic understanding of
  data cleaning
  , data validation, and data integrity.
• High attention to detail and accuracy.
• Good communication and organizational skills.
• Willingness to learn and take ownership of assigned tasks.

Preferred Skills (Nice to Have):

• Familiarity with tools like Google Sheets, MS Access, or basic SQL.
• Exposure to data visualization tools like Power BI or Tableau (not mandatory).

Job Description
We are currently looking Data Analyst for our Qatar operations with the following terms & conditions.

Responsibilities :

• Query clean, and prepare datasets to support predictive model development.
• Perform data profiling, outlier analysis, missing value treatment, and variable selection.
• Generate statistical summaries, histograms, distributions, and correlations to support model assumptions
• Assist in feature engineering with code (Python, SQL) based pipelines.
• Develop intemal data validation and sanity checks to support model input/output reliability.

Expertise Required

• Advanced SQL and scripting for large-scale data extraction and transformation
• Strong in Python for data analysis (Pandas, matplotlib, seaborn).
• Experience using Jupyter notebooks, Git, and shared model/analytics repos
• Comfort working with transactiorial, behavioral, and log-based data
• Self-directed and technical; works off specifications from data science lead or product owner
• No need to present to business users or interpret commercial outcomes
• Focus on clean, efficient code, reproducibility, and high data integrity

Joining time frame: 2 weeks (maximum 1 month)

Job Description
We are currently looking Data Scientist for our Qatar operations with the following terms & conditions.

Core Responsibilities:

Design, build, and optimize predictive models and machine learning algorithms using structured and semi-structured data.

Perform data pre-processing, feature engineering, and model selection independently.

Build and maintain automated model pipelines including training, validation, scoring and monitoring.

Implement model drift detection, retraining logic, and performance diagnostics.

Conduct code-based model explainability (eg. SHAP, LIME), support documentation for governance review.

Expertise Required

Advanced proficiency in Python (Pandas, NumPy, Scikit-leam, XGBoost, LightGBM)

Strong command of SQL arid handling large datasets (via warehouse or lake)

Experience deploying models using MLflow, Airflow, Docker, or similar tools

Familiarity with model performance metrics (ROC AUC, F1, lift/gain, etc.)

Hands-on in training and evaluating models for binary classification, multi-class, regression, or time series

Exposure to deep learning (PyTorch or Tensorflow) for advanced use cases

Joining time frame: 2 weeks (maximum 1 month)

Nair Systems is currently looking Data Analyst for our Qatar operations with the following terms & conditions.

Responsibilities :

• Query clean, and prepare datasets to support predictive model development.

• Perform data profiling, outlier analysis, missing value treatment, and variable selection.

• Generate statistical summaries, histograms, distributions, and correlations to support model assumptions

• Assist in feature engineering with code (Python, SQL) based pipelines.

• Develop intimal data validation and sanity checks to support model input/output reliability.

Expertise Required

• Advanced SQL and scripting for large-scale data extraction and transformation

• Strong in Python for data analysis (Pandas, matplotlib, seaborn).

• Experience using Jupyter notebooks, Git, and shared model/analytics repos

• Comfort working with transactiorial, behavioral, and log-based data

• Self-directed and technical; works off specifications from data science lead or product owner

• No need to present to business users or interpret commercial outcomes

• Focus on clean, efficient code, reproducibility, and high data integrity

Should have banking domain experience

Joining time frame: Immediate

Should you be interested please send resume

Requirements

• Minimum 5 years of experience as a Data Analyst in the F&B industry
• Proven expertise in ERP systems (e.g., Oracle, SAP, Microsoft Dynamics)
• Strong skills in Excel, Power BI, or other data visualization tools
• Bachelor's degree in Finance, Business Administration, Economics, or related field
• Currently based in Qatar with a valid QID
• Excellent communication and presentation skills
• Ability to work independently and manage multiple priorities

Key Responsibilities

• Analyze operational, financial, and sales data from ERP systems and internal reports
• Develop forecasting models for inventory, sales trends, and labor planning
• Identify performance gaps and provide data-driven recommendations
• Collaborate with finance, operations, and procurement teams to optimize cost and efficiency
• Create dashboards and visual reports for senior management
• Ensure data integrity and accuracy across all reporting platforms

Job Types: Full-time, Permanent

Education:

• Bachelor's (Required)

Experience:

• as a Data Analyst in the F&B industry: 5 years (Required)

Language:

• English (Required)

Location:

• Doha (Required)

Job Description: Data Governance & Data Quality Analyst

Position Summary

We are seeking a
Data Governance & Data Quality Analyst
to support the design, implementation, and monitoring of data governance frameworks, master data management, and data quality initiatives. The role ensures data integrity, compliance with regulatory requirements, and alignment with business objectives through effective governance and quality assurance practices.

Key Responsibilities

• Data Governance & Cataloguing Lead
  the implementation and maintenance of enterprise data catalog solutions (e.g., Collibra, Informatica, Purview).
• Document and manage metadata, data lineage, and data dictionaries across systems and domains.
• Collaborate with data stewards, data owners, and cross-functional teams to define governance processes, policies, and procedures.
• Data Quality Management Design
  and implement
  data quality standards, KPIs, and rules
  for critical data elements.
• Perform data profiling, cleansing, validation, and monitoring to ensure high-quality data.
• Develop dashboards and reporting (e.g., in Power BI) to track data quality issues and remediation progress.
• Conduct regular data audits, identify discrepancies, and implement corrective actions.
• Master Data Management (MDM)
  Support integration requirements for new master data projects.
• Ensure accuracy and consistency of master data across multiple geographies and business units.
• Collaborate with IT teams to enhance automation tools and workflows for MDM processes.
• Compliance, Privacy & Security Support
  data privacy and security initiatives, including classification, access management, and compliance with regulations (GDPR, local data protection laws).
• Conduct audits and assessments to validate compliance with governance and security frameworks.
• Stakeholder Engagement & Training Provide
  guidance and training to business users on data governance and quality best practices.
• Work closely with business units to understand requirements and translate them into governance/quality initiatives.
• Align governance practices with business objectives to drive data-driven decision-making.

Required Skills & Competencies

Technical Skills

• Data Governance Tools:
  Collibra, Informatica, Oracle Data Catalog, Microsoft Purview
• Data Quality Tools:
  KNIME (rule creation, cleansing, validations),SQL profiling techniques
• Visualization & Reporting:
  Microsoft Power BI (dashboards for KPIs, profiling results, remediation tracking)
• Databases & Querying:
  SQL Server, MySQL (analysis, validation, reporting)
• Process Modelling:
  MS Visio (workflow and governance process design)
• Data Analysis:
  Advanced Excel, Pivot Tables, statistical profiling, anomaly detection

Additional Competencies

• Strong analytical and problem-solving skills to resolve complex data quality issues.
• Solid understanding of
  data governance principles, frameworks, and compliance regulations
  .
• Experience with
  metadata management and master data structures
  .
• Ability to work collaboratively across departments and geographies.
• Excellent communication skills to interact with business and technical stakeholders.

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Management, or related field.
• Certifications in SQL, Power BI, or Data Governance/Quality are a plus.
• Prior experience in financial services, telecom, or large enterprise environments.

Responsibilities
:

Data Analysis: Assist in collecting, organizing and analyzing project-related data, generate preliminary analysis reports to support decision-making

Project Follow-up: Assist in tracking project progress, coordinating internal communication to ensure projects proceed as planned

Daily Work Support: Assist the team in document sorting, data statistics, information collection and other daily operation work

Requirements
:

Currently enrolled university student, bachelor's degree or above, major not limited

Good data analysis skills, proficient in using SQL

Serious and responsible work attitude, strong learning ability and execution

Able to guarantee at least 5 working days per week, internship period not less than 3 months

Highlight
:

1. You'll get hands-on experience with real projects—doing data analysis, tracking progress, and helping improve products to learn practical skills.

2. Work closely with the team, get guidance, grow fast, and build a strong foundation for your future career.