financial analyst

business analyst

data analyst

data engineer

biostatistician

data scientist

Hidrocalido Digital Qatar

<p>Job Opportunity: Data Scientist</p><p><b>Location:</b> Doha, Qatar<br/><b>Company:</b> Hidrocalido Digital Qatar</p><p>About Us</p><p>Hidrocalido Digital Qatar is a forward-thinking technology company specializing in digital transformation, advanced analytics, and innovative IT solutions. Based in Doha, we empower organizations to harness the power of data for smarter decision-making and sustainable growth. As we expand, we are seeking a talented <b>Data Scientist</b> to join our team and drive data-driven innovation.</p><p>Role Overview</p><p>The <b>Data Scientist</b> will be responsible for analyzing complex datasets, building predictive models, and delivering actionable insights to support business strategies. This role requires strong technical expertise, creativity, and the ability to communicate findings effectively to both technical and non-technical stakeholders.</p><p>Key Responsibilities</p><ul><li>Collect, clean, and analyze large datasets from multiple sources.</li><li>Develop predictive models, machine learning algorithms, and statistical analyses.</li><li>Collaborate with business teams to identify opportunities for data-driven solutions.</li><li>Visualize data insights through dashboards and reports.</li><li>Ensure data integrity, accuracy, and compliance with company standards.</li><li>Stay updated on emerging data science tools, techniques, and trends.</li><li>Provide recommendations to improve business performance and efficiency.</li><li>Support integration of AI and advanced analytics into company systems.</li></ul><p>Qualifications</p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related field.</li><li>3&ndash;6 years of experience in data science, analytics, or machine learning.</li><li>Proficiency in Python, R, SQL, and data visualization tools (Tableau, Power BI).</li><li>Strong knowledge of machine learning frameworks (TensorFlow, Scikit-learn, PyTorch).</li><li>Experience with big data platforms (Hadoop, Spark) is a plus.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Ability to work independently and in a collaborative team environment.</li></ul><p>Why Join Us?</p><ul><li>Be part of a growing data science team in Doha.</li><li>Play a key role in shaping Hidrocalido Digital Qatar&rsquo;s analytics strategy.</li><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>Supportive, innovation-driven, and technology-focused work culture.</li></ul><p>نوع الوظيفة: دوام كامل</p><p>الراتب المدفوع: QAR٠٫٠٠&nbsp;لكل شهر</p><p>موقع العمل: بشكل شخصي</p>

Data Scientist

Egis Group

<div><b>Company Description</b><p><br>
Egis is a leading global architectural, consulting, construction engineering, operations and mobility services firm. We create and operate intelligent infrastructure and buildings that both respond to the climate emergency and contribute to balanced, sustainable and resilient development. Our 20,500 employees operate across over 100 countries, deploying their expertise to develop and deliver cutting-edge innovations and solutions for clients. Through the wide range of our activities, we are central to the collective organisation of society and the living environment of citizens all over the world.&quot;</p><p>
With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group&rsquo;s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis&rsquo; long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers.</p><b><br>
Job Description</b><p><br>
Collate, combine and manipulate asset and defect data to prioritise works and propose the Capital Investment Plan.</p><p>
Systems integration and data analysis.</p><p>
Understanding of data architectures, ability to extract, manipulate, combine data, build dashboards, automation scripts.</p><ul><li>
Collect, process, and analyze large datasets related to road conditions, traffic patterns, and maintenance activities</li><li>
Develop and implement machine learning models to predict road deterioration and optimize maintenance schedules</li><li>
Create data visualization dashboards and reports to communicate insights to stakeholders effectively</li><li>
Collaborate with engineering teams to integrate data-driven insights into O&amp;M decision-making processes</li><li>
Design and maintain databases to store and manage road infrastructure data</li><li>
Utilize GIS technologies to perform spatial analysis of road networks and related infrastructure</li><li>
Develop predictive models to forecast traffic patterns and identify potential congestion areas</li><li>
Contribute to the development of data-driven strategies for improving road safety and reducing maintenance costs</li><li>
Stay up-to-date with the latest advancements in data science and machine learning techniques relevant to transportation infrastructure</li></ul><br>
<b>
Additional Information</b></div><p></p>

Data Scientist (Roads O&M)

Commercial Bank

<div>
 <strong>
  About Commercial Bank Of Qatar
  <br/>
  <br/>
 </strong>
 Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar&rsquo;s economic development by offering a range of personal, business, government, international and investment services.
 <br/>
 <br/>
 We believe in empowering our employees, providing them with opportunities for growth and professional development.
 <br/>
 <br/>
 By Joining us, you&rsquo;ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.
 <br/>
 <br/>
 Join us in shaping the future of banking!
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 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Responsible for developing advanced machine learning models for banking use cases including pricing optimization, customer propensity modelling, and recommendation systems.
  </li>
  <li>
   This senior role requires deep expertise in statistical modelling and machine learning combined with substantial banking and financial services domain knowledge .
  </li>
  <li>
   The position focuses on translating complex business problems in areas such as Risk, Finance, Retail Banking, and Wholesale Banking into actionable ML solutions.
  </li>
  <li>
   Will leverage their understanding of banking products, regulatory requirements, and financial metrics to build models that drive measurable business value.
  </li>
  <li>
   The role requires a balance of domain expertise and technical capability, with sufficient programming skills in Python and SQL to develop and deliver working prototypes that can be transitioned to production.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Key Accountabilities
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   ML Model Development
  </li>
  <li>
   Design and develop machine learning models for pricing optimization, including dynamic pricing, rate optimization, and fee structures.
  </li>
  <li>
   Build propensity models for customer behavior prediction including churn, cross-sell, upsell, and product adoption.
  </li>
  <li>
   Develop recommendation systems for personalized product offerings, next-best-action, and customer engagement.
  </li>
  <li>
   Banking Domain Application
  </li>
  <li>
   Apply deep banking domain knowledge to frame business problems as ML solutions with measurable outcomes.
  </li>
  <li>
   Partner with Risk, Finance, and business units to identify high-value modeling opportunities.
  </li>
  <li>
   Ensure models incorporate relevant regulatory requirements, risk considerations, and business constraints.
  </li>
  <li>
   Analysis &amp; Insights
  </li>
  <li>
   Conduct exploratory data analysis to identify patterns, relationships, and modeling opportunities in banking data.
  </li>
  <li>
   Translate model outputs into actionable business recommendations and insights.
  </li>
  <li>
   Develop model performance metrics aligned with business KPIs and financial outcomes.
  </li>
  <li>
   Create data visualizations and reports for stakeholder communication.
  </li>
  <li>
   Prototyping &amp; Delivery
  </li>
  <li>
   Develop working prototypes in Python demonstrating model functionality and business value.
  </li>
  <li>
   Create clear documentation of model methodology, assumptions, limitations, and use cases.
  </li>
  <li>
   Collaborate with ML Engineers and AI Engineers to transition prototypes to production systems.
  </li>
  <li>
   Stakeholder Collaboration
  </li>
  <li>
   Partner with business stakeholders to understand requirements and validate model outputs.
  </li>
  <li>
   Present model results, methodology, and recommendations to senior management.
  </li>
  <li>
   Contribute to model governance, validation, and documentation requirements.
  </li>
  <li>
   Ensure compliance with data policies, ethical standards, and regulatory requirements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Machine Learning &amp; Statistics
  </li>
  <li>
   Expert knowledge of supervised and unsupervised learning techniques for classification, regression, and clustering.
  </li>
  <li>
   Deep experience with pricing models, propensity modeling, and recommendation systems.
  </li>
  <li>
   Strong foundation in statistical analysis, hypothesis testing, and experimental design.
  </li>
  <li>
   Familiarity with deep learning frameworks (TensorFlow, PyTorch) for advanced use cases.
  </li>
  <li>
   Banking Domain Expertise
  </li>
  <li>
   Comprehensive understanding of banking products (Retail or Corporate business), services, and customer lifecycle.
  </li>
  <li>
   Knowledge of Risk functions including credit risk, market risk, and operational risk frameworks.
  </li>
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   Understanding of Finance functions including P&amp;L drivers, cost allocation, and profitability analysis.
  </li>
  <li>
   Familiarity with regulatory requirements affecting model development (IFRS 9, Basel, etc.).
  </li>
  <li>
   Technical Skills
  </li>
  <li>
   Python for data analysis and model development (pandas, scikit-learn, XGBoost, etc.).
  </li>
  <li>
   SQL &ndash; Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries).
  </li>
  <li>
   Experience with data visualization and reporting tools.
  </li>
  <li>
   Familiarity with Git (GitHub/GitLab) for version control.
  </li>
  <li>
   Basic understanding of Spark for large-scale data processing.
  </li>
  <li>
   Awareness of MLOps practices and model deployment concepts (MLflow, TFX).
  </li>
  <li>
   Communication &amp; Collaboration
  </li>
  <li>
   Ability to translate complex analytical concepts into business language for non-technical stakeholders.
  </li>
  <li>
   Strong presentation skills for executive-level communication.
  </li>
  <li>
   Experience working with cross-functional teams across business and technology.
  </li>
  <li>
   Agile methodologies (Kanban, Scrum) experience.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's degree or PhD in Finance, Economics, Statistics, Mathematics, or quantitative field strongly preferred.
  </li>
  <li>
   8+ years of experience in data science or quantitative analysis roles.
  </li>
  <li>
   Minimum 5 years of experience in banking or financial services industry is mandatory.
  </li>
  <li>
   Proven track record of delivering ML models in pricing, propensity, or recommendation domains.
  </li>
  <li>
   Background in Risk, Finance, or quantitative functions within banking preferred.
  </li>
  <li>
   Experience with model validation, governance, and regulatory requirements in financial services.
  </li>
  <li>
   Professional certifications in Risk (FRM, PRM) or Finance (CFA) are a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Why Commercial Bank?
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
  </li>
  <li>
   An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
  </li>
  <li>
   Opportunities for Global Partnerships &amp; International Exposure, connecting employees with global networks and perspectives.
  </li>
  <li>
   A focus on Employee Well-being &amp; Work-Life Balance, ensuring a healthy and supportive environment for all team members
  </li>
  <li>
   Competitive Compensation &amp; Benefits that ensure our employees are rewarded for their dedication and performance
  </li>
  <li>
   A strong Commitment to Diversity, Equity &amp; Inclusion, fostering a culture that values every individual&rsquo;s unique perspective.
   <br/>
   <br/>
  </li>
 </ul>
 At Commercial Bank, we don&rsquo;t just offer careers, We shape futures by pioneering
 <strong>
  digital transformation
 </strong>
 in Qatar&rsquo;s banking sector, blending
 <strong>
  digital-first
 </strong>
 approach to redefine banking through
 <strong>
  innovative
 </strong>
 solutions.
 <br/>
 <br/>
 <strong>
  Disclaimer
  <br/>
  <br/>
 </strong>
 We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
</div>


Senior Data Science Expert

Qatar Airways

<div><div><div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Ref #
</div><div>233169
</div></div><div><div>Location
</div><div>Qatar-Doha
</div></div><div><div>Job family
</div><div>Pilots &amp; Flight Operations
</div></div><div><div><ul><li>Closing Date: 2026-05-12</li></ul><br>
</div></div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Description
</b></h3></div><div></div><div><div><div><div><p><b>About the role:</b></p><p>
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.</p><p>
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 a broad toolkit; including machine learning, optimization techniques, root cause analysis, and rapid prototyping of decision‑support tools to transform data into actionable insights. Working closely with cross‑functional teams, you will deliver high‑impact analyses and provide clear, strategic recommendations to Senior Management and key business stakeholders.</p><p><b>
Specific responsibilities for the role include:</b></p><ul><li><p>
Use a combined knowledge of data science, statistics, machine learning and optimization techniques to enhance Flight Operations and Technical Operations (CAMO) analytics capabilities.</p></li><li><p>
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.</p></li><li><p>
Responsible for delivering multiple, highly complex and advanced analyses in a timely, efficient manner in collaboration with Flight and technical Operations&rsquo; teams to understand contextual problems and deliver innovative solutions that address business needs.</p></li><li><p>
Lead data analysis activities using available sources to identify trends and patterns, deliver deeper operational insights to make predictions and generate data-driven recommendations.</p></li><li><p>
Develop and deploy machine learning and optimization models.</p></li><li><p>
Propose and develop data-driven support prototypes based on machine learning and Optimization for further evaluation by the business users.</p></li><li><p>
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.</p></li></ul><p><b>
Be part of an extraordinary story</b><br>
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. 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.<br>
Together, everything is possible.</p>
</div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualification
</b></h3></div></div><div><div><div><div><p><b>About you</b></p><p>
The successful candidate will have the following skills and qualifications:</p><ul><li><p>
Bachelor&rsquo;s Degree in Mathematics, Statistics, Data Science, Operations Research, Artificial Intelligence.</p></li><li><p>
Minimum of 5 years of relevant experience and minimum 3 years&rsquo; experience in Data Science role.</p></li><li><p>
Experience in applying statistics, advanced analytical methods, and operations research to solve business problems.</p></li><li><p>
Any certification in Data Science or Machine learning using any cloud platform is considered as an added advantage.</p></li><li><p>
Excellent presentation skills and data visualization.</p></li><li><p>
Proficiency in Python, R, and SQL for data preparation, querying, and ML model development.</p></li><li><p>
Hands-on experience with GCP Vertex AI and frameworks like TensorFlow, PyTorch, and Keras.</p></li><li><p>
Experience in Optimization software tools such as Cplex, Gurobi, Google OR-Tools.</p></li><li><p>
Advanced level of Microsoft Office (Word, Excel, PowerPoint. Outlook) skills.</p></li><li><p>
Experience with top-tier BI tools such as Qlik, Power BI, Tableau.</p></li><li><p>
Experience with the Skywise platform will be considered as an added advantage.</p></li><li><p>
Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of Partners, Senior Managers, and Subject Matter Experts.</p></li></ul><p><b>
About Qatar Airways Group</b><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. 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><br>
If you&rsquo;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.</p>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=233169</div></div></div></div></div></div></div></div><div></div>

Senior Data Science Analyst

PROZ TECHNOLOGIES

<p>Hello,<br/>Greetings from Proztec Qatar! I hope everything is going well with you.</p><p><b>JOB DESCRIPTION</b></p><p>The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures to support data processing and analytics. The role focuses on handling large datasets, ensuring data quality, and enabling seamless integration across systems. The engineer will work closely with data analysts, data scientists, and business teams to deliver reliable and efficient data solutions.</p><p><b>DUTIES &amp; RESPONSIBILITIES</b></p><ul><li>Design, build, and maintain scalable ETL/ELT data pipelines</li><li>Process and manage large volumes of structured and unstructured data</li><li>Develop and optimize SQL queries for data extraction and transformation</li><li>Ensure data quality, integrity, and consistency across systems</li><li>Integrate data from multiple sources including APIs, databases, and cloud platforms</li><li>Monitor and troubleshoot data pipeline performance issues</li><li>Collaborate with data analysts and data scientists to support analytics and reporting needs</li><li>Implement data governance and security best practices</li><li>Maintain documentation for data flows, models, and pipelines</li><li>Optimize data storage and processing for performance and cost efficiency</li></ul><p><b>SKILLS &amp; ABILITIES</b></p><ul><li>Strong experience in SQL and database management</li><li>Hands-on experience with ETL/ELT processes and tools</li><li>Proficiency in Python for data processing and automation</li><li>Knowledge of Big Data technologies (e.g., Hadoop, Spark)</li><li>Experience with cloud data platforms (AWS, Azure, or GCP)</li><li>Strong problem-solving and analytical skills</li></ul><p><b>POTENTIAL BACKGROUND</b></p><ul><li>Minimum <b>4+ years of experience</b> in Data Engineering</li><li>Experience handling large-scale data processing and pipelines</li><li>Exposure to enterprise data architecture and analytics environments</li><li>Experience working with cloud-based data solutions is a plus</li></ul><p><b>CERTIFICATIONS (MANDATORY/PREFERRED)</b></p><ul><li>Google Professional Data Engineer &ndash; Preferred</li><li>Azure Data Engineer Associate &ndash; Preferred</li><li>AWS Data Analytics Certification &ndash; Preferred</li></ul><p><b>LANGUAGE REQUIREMENT</b></p><ul><li>Arabic or Non-Arabic Speaker</li></ul><p><b>WORK LOCATION</b></p><ul><li>Onshore &amp; Offshore</li></ul><p><b>SOFT SKILLS</b></p><ul><li>Strong analytical and problem-solving abilities</li><li>Good communication and collaboration skills</li><li>Attention to detail and data accuracy</li><li>Ability to manage multiple tasks and deadlines</li><li>Proactive and solution-oriented mindset</li></ul><p>If you&rsquo;re interested or have relevant experience, feel free to share your updated CV.</p><p>Job Type: Full-time</p><p>Pay: QAR15,000.00 - QAR18,000.00 per month</p><p>Work Location: In person</p>

Data Engineer

COZMALABS

<p>We are looking for an experienced  Data Engineer to join our team full-time. This role requires a strong background in building and optimizing data pipelines, with a focus on supporting AI-driven solutions. The candidate will work closely with software engineers to ensure reliable data flows for AI models and contribute to cloud-based data integration using Microsoft Azure.</p><p>Key Responsibilities:</p><ul><li>Design, develop, and maintain scalable data pipelines and ETL processes to support AI-driven projects</li><li>Build and optimize data infrastructure to ensure efficient data management, processing, and storage in cloud environments (Azure)</li><li>Collaborate with AI engineers to facilitate data preparation for machine learning models and AI solutions</li><li>Ensure data pipelines are secure, reliable, and meet performance standards</li><li>Monitor and troubleshoot data pipeline performance to ensure timely and accurate data delivery</li><li>Implement data governance policies and ensure compliance with data security standards</li></ul><p>Required Qualifications:</p><ul><li>Proven experience as a Data Engineer, with a focus on building and maintaining complex data pipelines for AI projects</li><li>Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB)</li><li>Expertise in cloud-based data solutions, specifically Microsoft Azure (e.g., Azure Data Factory, Azure Synapse, Azure Databricks)</li><li>Experience with data integration tools and ETL frameworks (e.g., Apache Airflow)</li><li>Proficiency in at least one programming language for data manipulation (e.g., Python)</li><li>Knowledge of data warehousing solutions and best practices</li><li>Experience in working with data pipelines for AI or machine learning workflows</li><li>Strong problem-solving and analytical skills</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field</li><li>Proficiency in English (written and spoken)</li></ul><p>Desirable Qualifications:</p><ul><li>Familiarity with machine learning models and data preprocessing for AI solutions</li><li>Knowledge of containerization tools (Docker, Kubernetes) for data pipeline deployments</li></ul><p>Work Location: In person</p>

Han Partners Qatar

<p>Why This Role Is Attractive</p><p>If you enjoy turning raw data into clear business insights, this role gives you the opportunity to directly influence decisions in a fast-growing consulting environment. At Han Partners Qatar, you will work on real business challenges across multiple industries, helping leadership teams make smarter, data-driven decisions. This is a strong career-building role for candidates who want growth, exposure to international projects, and hands-on analytics experience.</p><p>Job Overview</p><p>Han Partners Qatar is seeking a Data Analyst who can collect, process, and interpret data to support business strategy, consulting projects, and operational improvements. You will work closely with consultants, project managers, and clients to deliver actionable insights that improve performance and decision-making.</p><p>Key Responsibilities</p><ul><li>Collect, clean, and organize large datasets from multiple sources</li><li>Analyze business, financial, and operational data to identify trends and insights</li><li>Build reports, dashboards, and visualizations for management and clients</li><li>Support consulting teams with data-driven recommendations</li><li>Monitor key performance indicators (KPIs) and business metrics</li><li>Ensure data accuracy, consistency, and quality across reports</li><li>Translate complex data into clear, simple insights for non-technical stakeholders</li><li>Assist in forecasting, performance tracking, and business analysis projects</li><li>Work with Excel, SQL, Power BI, or similar analytics tools</li></ul><p>Skills</p><p>Employers are actively searching for candidates with the following skills:</p><ul><li>Data analysis and interpretation</li><li>Advanced Excel (formulas, pivot tables, dashboards)</li><li>SQL for database querying</li><li>Data visualization (Power BI, Tableau)</li><li>Business intelligence reporting</li><li>Problem-solving and critical thinking</li><li>Attention to detail and data accuracy</li><li>Communication and presentation skills</li><li>Basic understanding of statistics</li><li>Ability to explain data insights in simple terms</li><li>Familiarity with Python (preferred but not required)</li></ul><p>Candidate Requirements</p><ul><li>Bachelor&rsquo;s degree in Data Analytics, Statistics, Business, IT, or related field</li><li>0&ndash;3 years of experience in data analysis or reporting (fresh graduates welcome to apply)</li><li>Strong analytical and problem-solving mindset</li><li>Comfortable working with spreadsheets and data tools</li><li>Ability to work in a team and handle multiple tasks</li><li>Strong communication skills in English</li></ul><p>Salary and Benefits</p><ul><li>Competitive monthly salary based on experience</li><li>Performance-based bonuses</li><li>Health and medical coverage (as per company policy)</li><li>Paid annual leave</li><li>Professional development and training opportunities</li><li>Exposure to international consulting projects</li><li>Career growth into senior analyst or consulting roles</li></ul><p>Work Schedule</p><ul><li>Full-time position</li><li>Standard business hours with occasional project deadlines</li><li>Hybrid or office-based work depending on project requirements</li></ul><p>About Han Partners Qatar</p><p>Han Partners Qatar is a consulting and advisory firm based in Doha, specializing in data-driven business solutions, strategy consulting, and operational improvement services. The company works with clients across multiple industries, helping organizations improve efficiency, performance, and decision-making through analytics and strategic insights.</p><p>Why Work With Us</p><ul><li>Work on real consulting projects with measurable impact</li><li>Gain hands-on experience in business analytics and strategy</li><li>Supportive and collaborative team environment</li><li>Opportunities for career growth in consulting and data analytics</li><li>Exposure to international clients and business environments</li><li>Skill development in high-demand analytics tools and methods</li></ul><p>Career Growth Opportunities</p><p>This role can lead to career advancement into:</p><ul><li>Senior Data Analyst</li><li>Business Intelligence Analyst</li><li>Data Consultant</li><li>Analytics Manager</li><li>Strategy Consultant</li></ul><p>Apply Now</p><p>If you are passionate about data, problem-solving, and business insights, this is your opportunity to build a strong career in analytics and consulting.</p><p>Apply today and take the next step in your professional growth with Han Partners Qatar.</p><p>الراتب المدفوع: QAR١٢٬٠٠٠٫٠٠&nbsp;لكل شهر</p><p>موقع العمل: بشكل شخصي</p>

Data Analyst

Explore 652+ Data scientist in Doha this May. Find roles across top companies and apply now to boost your career.

652 data scientist jobs In Doha

Data Scientist

Data Scientist (Roads O&M)

Senior Data Science Expert

Senior Data Science Analyst

Data Engineer

Data Engineer

Data Analyst