91 Data Analyst Student Financial Services jobs in Qatar

Urgent Requirement: Data Scientist/Analyst

Requirements

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.

Start-Up Mindset: Comfortable operating in a fast-paced, evolving environment with shifting priorities and the need for rapid experimentation.

Skills:

· Proficiency in Python, R, or similar programming languages for data analysis and modeling.

· Strong SQL skills and experience with data warehousing (e.g., BigQuery, Snowflake, Redshift).Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

· Experience with BI tools (e.g., Power BI, Tableau, Looker) for visualization.Strong understanding of statistical analysis, experimental design, and hypothesis testing.

· Ability to clearly communicate complex analyses to non-technical stakeholders.Industry

· Knowledge: Understanding of GCC fintech regulations, QCB compliance requirements, and BNPL-specific risk modeling considerations.Tech-Savvy:

· Understanding of databases, debugging tools, and software development processes.

Communication: Excellent written and verbal communication skills in English (Arabic is a plus).

Education: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.

If you are interested, please share your updated CV at or WhatsApp no:

Job Type: Full-time

Pay: Up to QAR6,000.00 per month

Job title

Senior Data Science Analyst - Qatari Nationals only

Ref #

Location

Qatar - Doha

Job family

Corporate & Commercial

• Closing date: 08-Sep-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.

Role: Consultant – Business Analyst (Data)

Experience: 5+ Years

Location: Doha, Qatar

Job Type: Full-Time | Onsite

Languages Required: Bilingual – Arabic & English (Fluent)

Are you passionate about transforming data into actionable insights? Do you excel at bridging the gap between business goals and data-driven solutions? We are looking for a Consultant – Business Analyst (Data) to join our team in Doha, Qatar !

As a vital member of our analytics and data governance initiatives, you will work closely with business and technical teams to define, document, and manage requirements for modern data platforms, data warehouses, self-service BI, and analytics solutions.

Key Responsibilities

1. Define requirements for BI, dashboards, data products, and secure stakeholder buy-in.
2. Prepare BRDs, user stories, specification documents, and manage sprint backlogs.
3. Act as the liaison between business stakeholders and technical teams.
4. Lead training and user acceptance testing (UAT) sessions.
5. Support creation of test strategy, scenarios, and execution plans.
6. Adapt to both agile and waterfall project environments as needed.

Qualifications

1. Bachelor’s degree in Business, Computer Science, or a related field.
2. 5+ years of experience in Business Analysis focused on data and analytics solutions.
3. Strong grasp of BI, data governance, and data warehousing concepts.
4. Proven ability to gather requirements, lead focus groups, and drive stakeholder sign-off.
5. Skilled in documenting features, user stories, and analytics use cases.
6. Experienced in gap analysis, process mapping, data analysis, and creating mock-ups.
7. Fluent in Arabic and English – both spoken and written.

Skills: English, requirement gathering, data analytics, waterfall methodologies, data analysis, data warehousing, stakeholder management, business intelligence (BI), mock-ups creation, process mapping, agile methodologies, data governance, business analysis, documentation, data, analytics, business analyst, Arabic, user acceptance testing (UAT)

Overview

We are looking for a highly analytical SEO Analyst / Data Specialist to take ownership of SEO measurement, reporting, and performance insights. This role is critical in turning raw data into actionable recommendations that directly influence strategy, experimentation, and growth. You will work closely with SEO strategists, content teams, and leadership to ensure every SEO decision is guided by data.

• Create and maintain dashboards (rankings, CTR, conversions, revenue attribution, etc.) to track SEO performance.
• Set up and manage KPI tracking for organic traffic, bounce rate, keyword performance, and conversions.
• Conduct cohort analyses, keyword cannibalization checks, and trend analyses to identify gaps and opportunities.
• Provide insights and recommendations that feed directly into SEO strategy, testing, and ongoing optimization.
• Collaborate with marketing, content, and product teams to ensure SEO insights inform decision-making at all levels.
• Ensure accurate data collection and reporting, working with analytics and dev teams as needed.

• Must-Haves - 2–4 years in SEO analytics, web analytics, or data analysis roles.
• Strong expertise in Google Analytics 4, Google Search Console, Looker Studio (or equivalent BI tools).
• Proficiency in Excel / Google Sheets and at least basic SQL for data querying.
• Experience building SEO dashboards and reports for stakeholders at different levels.
• Strong problem-solving, analytical, and communication skills.

• Nice-to-Haves - Familiarity with BI platforms like Tableau or Power BI.
• Experience analyzing enterprise or multi-market SEO data sets.
• Knowledge of Python / R for automation and advanced analytics.
• Experience supporting A / B testing and experimentation frameworks.

Overview

Responsible for processing, analyzing, and visualizing numerical data collected from stakeholders to support the execution of the client.

Focuses on ensuring the required data analytics for the functioning of the SMO are in place by :

• Managing processes for data validation, ensuring accuracy and integrity across reporting systems
• Enhancing visualization techniques to improve data-driven insights
• Streamlining data workflows through automation and integration, improving efficiency and reducing manual effort

• Manage system administration and provide technical support to ensure smooth system operations and adequate troubleshooting
• Ensure data accuracy, detecting inconsistencies and recommending corrective actions to improve data integrity
• Aggregate, clean, and structure numerical data from multiple sources to ensure consistency, reliability, and readiness for analysis
• Develop dynamic dashboards, charts, and reports using tools like Power BI, Tableau, or Python to present data in an actionable format
• Support data analysis of KPI tracking and numerical refinement

• Advanced proficiency in data analysis tools and programming languages
• Strong knowledge of data visualization software (Power BI, Tableau etc.)
• Ability to manage automated reporting workflows

• Strong analytical thinking and problem-solving abilities
• Attention to detail and accuracy in data handling
• Proactive approach to identifying and resolving data challenges

• Bachelors degree in Data Science, Statistics, Computer Science, or a related field
• Experience in government, cybersecurity, or strategic performance monitoring is a plus

• 2-5 years of experience in data science or data analytics
• Hands-on experience in structuring and working with numerical data

Vertical: Technology