12 Data Intelligence jobs in Qatar

Doha Bank is seeking a strategic and visionary leader to head its Data Intelligence & Analytics department. This high-impact role reports directly to the Chief Information Officer and is responsible for driving the Bank's enterprise-wide data strategy, governance, and analytics capabilities. You will lead a multidisciplinary team focused on unlocking the power of data to improve performance, reduce risk, and enhance operational efficiency across all business functions.

Job title

Manager Data Science | Revenue Management

Ref #

Location

Qatar - Doha

Job family

Corporate & Commercial

• Closing date: 30-Sep-2025

About the role

Welcome to a world where ambition propels success

We are pleased to announce an exciting opportunity to be part of our Revenue Management Team as a Manager Data Science in Doha

In this role, you will play a significant part in leading a team of skilled data scientists, developing advanced analytical models, and ensuring the effective utilization of data-driven insights to enhance our revenue management practices. You will harness the power of data to drive strategic decisions and optimize revenue performance.

You will collaborate closely with various stakeholders, including commercial, pricing, finance, and operations teams, to identify opportunities for revenue growth and implement data-driven solutions that align with our overall business objectives.

Specific responsibilities include:

• Responsible in shaping our data science strategy, staying abreast of industry trends, and continuously improving our analytical capabilities
• Develop predictive models, pricing algorithms, and demand forecasting tools that will enable RM Managers to make informed decisions and stay competitive in the dynamic airline industry.
• Collaborate with business and technology partners across various departments to deploy AI & ML-powered solutions, aiming to drive incremental revenue, enhance customer engagement, and automate manual processes using state-of-the-art ML techniques
• Collaborate with cross-functional teams to define problem statements, hypotheses, and success metric
• Utilize advanced analytical techniques (e.g., machine learning, statistical modelling) to analyze complex datasets, identify trends, and develop predictive models.
• Work with data engineering teams to deploy and maintain data science models in a production environment ,ensuring their accuracy and effectiveness.
• Manage data science projects ,fostering relationships with stakeholders, and ensure the effective deployment of AI and machine learning models.
• Oversee the design, development and deployment of data science projects, ensuring they align with business objectives and timelines
• Build and maintain strong relationships with stakeholders across different departments(e.g. Corporate Planning,B2C,IT,Finance) to understand their needs and ensure the effective integration of data-driven solutions.
• Coach and mentor team members for their development and successful project delivery
• Lead and manage a team of Data Scientists to deliver high-quality, production-scale ML models with measurable business impact across multiple business/product verticals.

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 or equivalent ( Example: Mathematics and Statistics, Computer Science or Engineering or any related field) with minimum of 8 years job -related experience.
• Expertise in statistical analysis, machine learning, data engineering, operations research, forecasting and optimization methods
• Strong background in statistical analysis, optimization techniques, and predictive modeling. Well-versed in AI and ML methodologies.
• Experience in handling large datasets, using data mining tools, and developing algorithms is preferred.
• Excellent programming skills in languages such as Python, R, or SQL.
• Good understanding of Airline business process, including Network planning, scheduling, Marketing, Sales, Digital (Customer behavior)
• Excellent leadership skills, communication and negotiation skills.
• Strong communication skills to effectively convey complex analytical concepts to non-technical stakeholders
• Ability to work collaboratively with cross-functional teams.
• Strong command of English language

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.

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

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.

Data modelling: Develop custom data models and algorithms to apply to data sets
Data Mining, Cleaning and Munging
Data Visualization and Reporting (Power BI)
Data warehousing and structures
Business Process and Workflow (SharePoint)
Statistical Analysis and Risk Analysis
Database Programming (SQL)
Software Engineering Skills
Problem-Solving
Effective Communication

Bachelor or Master level degree in Business, Computer, Information Science or a related field
Eight years (8) years of experience in a business environment with specific exposure to Business Processes and Data Analysis relating to Project Management required, preferably in the oil and gas industry
Must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations
Experience in statistical and data mining techniques (Data Mining, Cleaning and Munging) to mind and analyze data from company databases, ERP and other legacy data sources/systems to drive optimization techniques and business strategies
Experience in Data Visualization, dashboard and Reporting using Data Visualization Tools such as (Power PI, Tableau, SAS, Python, etc) with experience using web services and cloud tools
Knowledge of Master data object definitions and models would be an advantage
Knowledge in Business Process Analysis, Modelling, Optimizing and Workflow automation
Experience in business process analysis, modelling, notation, process improvement methodologies, optimization strategies and statistical process control
Experience in documentation and diagramming approaches used to describe typical business components including entity relationship diagrams, process diagrams, and workflow diagrams
Good exposure to Project Management principles and practices
Thorough understanding of Business Process management and ability to plan/conduct study and document the results
Expert proficiency in using MS Office suite applications, MS SharePoint and Power BI

Business Intelligence / Analytics Solutions Architect

Location: Doha, Qatar

Department: Data & Analytics

Employment Type: Full-Time

About Us

At Capital Technology Solutions (CTS), we empower enterprises and governments with next-generation solutions in Cloud, Cybersecurity, AI, Data Analytics, and Automation. Leveraging strategic partnerships with Microsoft, Databricks, DDN, UiPath, and SoftBank Robotics, we design and deliver intelligent solutions that drive measurable business impact.

We are looking for a Business Intelligence / Analytics Solutions Architect who can blend technical expertise, business acumen, and strong communication skills to design and implement end-to-end BI and analytics solutions.

Role Overview

As a BI / Analytics Solutions Architect, you will be responsible for designing, building, and delivering data analytics architectures, dashboards, and insights platforms that help businesses make informed, data-driven decisions. You will work closely with business leaders, data engineers, and domain experts to translate business requirements into scalable analytics solutions using modern BI tools and cloud platforms.

This role requires a balance of technical depth, analytical thinking, and stakeholder engagement to ensure solutions are not only technically sound but also aligned with business goals and industry KPIs.

Key Responsibilities

Solution Architecture & Design

• Architect end-to-end BI & analytics solutions leveraging Microsoft Power BI, Databricks, and Azure Data Services.
• Design scalable data pipelines, data models, and reporting layers.
• Ensure data accuracy, integrity, and security across analytics platforms.

Business Intelligence & Visualization

• Build interactive dashboards and reports using Power BI (primary) and Tableau.
• Apply UI/UX best practices to create intuitive, user-centric dashboards.
• Deliver actionable insights by defining and tracking KPIs that align with business objectives.

Data Management & Integration

• Collaborate with data engineers to integrate data from relational databases (SQL Server, MySQL, PostgreSQL) and NoSQL systems (MongoDB, etc.).
• Implement ETL/ELT workflows with tools such as Azure Data Factory or Apache Airflow.
• Support automation through scripting (Python, SQL, PowerShell).

Analytics & Insights

• Perform exploratory data analysis, forecasting, and hypothesis testing.
• Leverage predictive analytics and machine learning models (with Databricks, Python, Scikit-learn) at a foundational level.
• Work with domain experts to contextualize insights for industries such as Supply Chain, Finance, Healthcare, Retail, and Sustainability.

Collaboration & Delivery

• Act as the bridge between business stakeholders and technical teams.
• Translate business problems into technical analytics solutions.
• Present findings clearly through data storytelling and visualization for executives and non-technical audiences.

Required Skills & Qualifications

• Bachelor's or master's degree in computer science Computer Science, Data Science, Information Systems, or related field.
• 5-8 years' experience in BI, Data Analytics, or Data Architecture roles.
• Hands-on experience with Power BI (preferred) and Tableau.
• Proficiency in SQL and Python (Pandas, Matplotlib, Seaborn, Plotly).
• Experience with data modelling, data warehouses (Azure Synapse), and ETL workflows.
• Strong business acumen and the ability to align data solutions with organizational goals.
• Excellent problem-solving, communication, and stakeholder management skills.

Preferred / Good to Have

• Certifications: Microsoft Certified Data Analyst Associate, Azure Data Engineer, Databricks Certified Professional, or Tableau Certified.
• Experience with Databricks, Azure Synapse, Azure Data Factory.
• Knowledge of Docker/Kubernetes basics for analytics deployment.
• Familiarity with automation (UiPath, Power Automate).
• Exposure to industry-specific BI use cases in 2-3 domains such as:
• Supply Chain & Logistics
• Finance & Accounting
• Sustainability & Environmental Impact
• Healthcare & Life Sciences
• Retail & E-Commerce
• Education

Why Join CTS?

• Be part of a fast-growing technology company delivering cutting-edge solutions across Cloud, Cybersecurity, AI, and Data Analytics.
• Work on high-impact projects directly with government and enterprise clients in Qatar and the region.
• Access continuous learning, certifications, and mentorship opportunities.
• Career growth path towards Principal Architect / Practice Lead in Data & Analytics.
• Collaborative, multicultural work environment with global technology partners.

Job Type: Full-time

Pay: QAR8, QAR12,000.00 per month

Ability to commute/relocate:

• Doha: Reliably commute or planning to relocate before starting work (Preferred)

Education:

• Bachelor's (Preferred)

Experience:

• Data Analytics: 5 years (Required)

Business Intelligence / Analytics Solutions Architect

Location: Doha, Qatar

Department: Data & Analytics

Employment Type: Full-Time

About Us

At Capital Technology Solutions (CTS), we empower enterprises and governments with next-generation solutions in Cloud, Cybersecurity, AI, Data Analytics, and Automation. Leveraging strategic partnerships with Microsoft, Databricks, DDN, UiPath, and SoftBank Robotics, we design and deliver intelligent solutions that drive measurable business impact.

We are looking for a Business Intelligence / Analytics Solutions Architect who can blend technical expertise, business acumen, and strong communication skills to design and implement end-to-end BI and analytics solutions.

Role Overview

As a BI / Analytics Solutions Architect, you will be responsible for designing, building, and delivering data analytics architectures, dashboards, and insights platforms that help businesses make informed, data-driven decisions. You will work closely with business leaders, data engineers, and domain experts to translate business requirements into scalable analytics solutions using modern BI tools and cloud platforms.

This role requires a balance of technical depth, analytical thinking, and stakeholder engagement to ensure solutions are not only technically sound but also aligned with business goals and industry KPIs.

Key Responsibilities

Solution Architecture & Design

• Architect end-to-end BI & analytics solutions leveraging Microsoft Power BI, Databricks, and Azure Data Services.
• Design scalable data pipelines, data models, and reporting layers.
• Ensure data accuracy, integrity, and security across analytics platforms.

Business Intelligence & Visualization

• Build interactive dashboards and reports using Power BI (primary) and Tableau.
• Apply UI/UX best practices to create intuitive, user-centric dashboards.
• Deliver actionable insights by defining and tracking KPIs that align with business objectives.

Data Management & Integration

• Collaborate with data engineers to integrate data from relational databases (SQL Server, MySQL, PostgreSQL) and NoSQL systems (MongoDB, etc.).
• Implement ETL/ELT workflows with tools such as Azure Data Factory or Apache Airflow.
• Support automation through scripting (Python, SQL, PowerShell).

Analytics & Insights

• Perform exploratory data analysis, forecasting, and hypothesis testing.
• Leverage predictive analytics and machine learning models (with Databricks, Python, Scikit-learn) at a foundational level.
• Work with domain experts to contextualize insights for industries such as Supply Chain, Finance, Healthcare, Retail, and Sustainability.

Collaboration & Delivery

• Act as the bridge between business stakeholders and technical teams.
• Translate business problems into technical analytics solutions.
• Present findings clearly through data storytelling and visualization for executives and non-technical audiences.

Required Skills & Qualifications

• Bachelor's or master's degree in computer science Computer Science, Data Science, Information Systems, or related field.
• 5-8 years' experience in BI, Data Analytics, or Data Architecture roles.
• Hands-on experience with Power BI (preferred) and Tableau.
• Proficiency in SQL and Python (Pandas, Matplotlib, Seaborn, Plotly).
• Experience with data modelling, data warehouses (Azure Synapse), and ETL workflows.
• Strong business acumen and the ability to align data solutions with organizational goals.
• Excellent problem-solving, communication, and stakeholder management skills.

Preferred / Good to Have

• Certifications: Microsoft Certified Data Analyst Associate, Azure Data Engineer, Databricks Certified Professional, or Tableau Certified.
• Experience with Databricks, Azure Synapse, Azure Data Factory.
• Knowledge of Docker/Kubernetes basics for analytics deployment.
• Familiarity with automation (UiPath, Power Automate).

• Exposure to industry-specific BI use cases in 2-3 domains such as:

• Supply Chain & Logistics

• Finance & Accounting
• Sustainability & Environmental Impact
• Healthcare & Life Sciences
• Retail & E-Commerce
• Education

Why Join CTS?

• Be part of a fast-growing technology company delivering cutting-edge solutions across Cloud, Cybersecurity, AI, and Data Analytics.
• Work on high-impact projects directly with government and enterprise clients in Qatar and the region.
• Access continuous learning, certifications, and mentorship opportunities.
• Career growth path towards Principal Architect / Practice Lead in Data & Analytics.
• Collaborative, multicultural work environment with global technology partners.

The incumbent will assist in the development and deployment of management reports, dashboards and business intelligence solutions to fulfill the business need / to enhance the decision making capabilities of the Products and Segments function of the Retail Banking division. The incumbent will gather and analyze information/data, through analysis, graphs, data modeling, presentations and dashboards using various BI tools pertaining to retail accounts portfolio, within the frame work of the policies and procedures set by the Bank / regulatory guidelines.

Company Description

CFO Consulting is a prestigious finance and business consultancy firm dedicated to fostering business success and sustainability. We offer a range of services from basic accounting tools and cloud-based software to comprehensive Client Advisory Services (CAS). These include CPA-led fiscal guidance, virtual Chief Financial Officer (CFO) services, and analytics-driven insights for long-term business success. Our partnerships have helped numerous companies reduce costs and improve access to essential resources, benefiting professionals within and outside the CFO Consulting network.

Role Description

This is a full-time, on-site role for a Business Intelligence Specialist based in Doha, Qatar. The Business Intelligence Specialist will be responsible for developing, deploying, and maintaining business intelligence solutions. Daily tasks include data modeling, data warehousing, and implementing extract, transform, load (ETL) processes. The specialist will analyze data to provide actionable insights, assisting the team in making data-driven decisions.

Qualifications

• Strong Analytical Skills and Data Analytics expertise
• Proficiency in Data Warehousing and Data Modeling
• Experience with Extract, Transform, Load (ETL) processes
• Excellent problem-solving and critical thinking abilities
• Detail-oriented with strong organizational skills
• Bachelor's degree in Computer Science, Information Systems, or related field
• Experience in the finance or consultancy industry is a plus