147 Employee Data jobs in Qatar

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.

Nair Systems is 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

Working knowledge of embeddings, vector stores, or text-based models

Git-based versioning and reproducible ML workflow setup

Joining time frame: 2 weeks (maximum 1 month)

Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest

Job Title: Data Entry Clerk

Job Summary

We are seeking a detail-oriented and organized Data Entry Clerk to accurately input, update, and maintain company data in our systems and databases. The ideal candidate will have strong typing skills, keen attention to detail, and the ability to manage large volumes of information efficiently and confidentially.

Key Responsibilities

• Enter, update, and verify data in company databases and systems.
• Review documents for accuracy and completeness before data entry.
• Maintain accurate records of valuable company information.
• Retrieve data from databases or electronic files as requested.
• Ensure proper use of office equipment and address any malfunctions.
• Generate reports, store completed work in designated locations, and back up data regularly.
• Follow data confidentiality and security policies.
• Assist with administrative tasks as required.

Qualifications & Skills

• Proven experience as a Data Entry Clerk or in a similar role.
• Fast and accurate typing skills (recommended 40–50+ WPM).
• Proficiency in MS Office (Word, Excel, Outlook) and data entry software.
• Strong attention to detail and accuracy.
• Good organizational and time management skills.
• Ability to handle sensitive information confidentially.
• High school diploma; additional computer training or certification is a plus.

If you meet the above criteria and are ready to be part of a successful team, please send your CV to:

Job Type: Full-time

About Commercial Bank Of Qatar
Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar's economic development by offering a range of personal, business, government, international and investment services. We believe in empowering our employees, providing them with opportunities for growth and professional development.

By Joining us, you'll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.

Join us in shaping the future of banking

Job Summary
Commercial bank is looking to hire a Data Architect .The Data Architect will have relevant experience of 12+ years and work in the analysis, development , implementation and support of Data Architectures, Data Processing Platforms and technologies by effectively mapping the business requirements on top of those, supporting Initiatives in initiation for apply principles and patterns related with the domain preserving principles for keep Data Availability, improve Data Quality, prevent gaps in Data Glossary and Lineage, provide adequate Data Processing approach, segregating vs consolidating Upstreams and downstream integrity when integrated and follow Data Governance processes.

Is key role in order to support the creation a coherent roadmap providing the busines capability mapping as part of the Data Architecture Domain, the link with Delivery and Business Teams is crucial for the organization providing the proper impact analysis in order to keep the business continuity of the Bank in regards of informational and operational landscape as a part of the mentioned roadmaps.

*Key Accountabilities *
Define, refine, divulgate and govern Data Architecture foundations, principles from Abstract to Specific.

Contribute to the overall Enterprise Architecture in relation of the Data Strategy of the bank and support Architecture Board for evaluate the initiatives and be main responsible and accountable in regards of key cross functions like
Data Governance and Engineering Team
and
Data Scient Team
as well as
Domain Specific Teams
for accommodate the Change like Core Banking, Cards, Customer Insights

Other Accountabilities
Coordinate with the Governance & Engineering, Data Science and IT Domains teams to identify future needs and requirements

Able to articulate the information flows and High Level Design sections around it, indicating the As-is architecture, the TOBE Architecture and the Transitional Architectures required for ensure the Stability of Data Processing, Data Governance, Data Quality platforms, selecting the proper technology for accommodate business requirements.

Document High Level Designs (HLD) providing the E2E view for Information Flows, requesting the Low Level Designs (LLD) are supporting the HLD in order to ensure delivery teams follow the strategy and principles.

Skills And Experience

• Experience Develop large scale distributed storage systems intersecting Payments Strategy and Data Processing Platforms, Microservices architectures, and reliable monitoring and deployment infrastructure. Strong verbal and written skills, especially around code documentation

• Ability to work in a team environment, independently, take direction, and follow instruction . Exposure and experience in Distributed Architecture, Event driven Architecture, Microservices, Confluent Kafka, OpenAPI, Java, Java (Spring Boot) and Cloud Native solutions based on Kubernetes or OpenShift . Demonstrated Experience in World Wide Payment Processing Platforms or intersecting with it:

• Participating in the development & review of business & system requirements to obtain a thorough understanding of business needs in order to deliver accurate solutions

• Facilitating design & development solutions/ initiatives involving mapping of business requirements and leading in-depth evaluation of customer feedback to execute modifications in the solution
• Coordinating for test planning & designs for various projects and successfully leading Functional, System, Integration Test.
• Defining the strategies, technical architecture and evaluation and inclusion of new technology for implementation and operations of client services, product support, quality assurance and training Strong in DevOps concepts and should be capable to work in DevOps implementation.

*Why Commercial Bank? *

• Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
• An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
• Opportunities for Global Partnerships & International Exposure, connecting employees with global networks and perspectives.
• A focus on Employee Well-being & Work-Life Balance, ensuring a healthy and supportive environment for all team members
• Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance
• A strong Commitment to Diversity, Equity & Inclusion, fostering a culture that values every individual's unique perspective

At Commercial Bank, we don't just offer careers, We shape futures by pioneering
digital transformation
in Qatar's banking sector, blending
digital-first
approach to redefine banking through
innovative
solutions.

Disclaimer
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.

Key Responsibilities

• Data Management & Integration
• Manage and maintain data accuracy across Zoho Recruit, Zoho People, Zoho CRM, and related platforms.
• Design and maintain reports and dashboards using
  Zoho Analytics
  to track key workforce metrics.

• Integrate data from multiple sources to provide unified insights on recruitment, deployment, and performance.

• Analytics & Insights

• Analyze key workforce indicators such as headcount trends, mobilization status, time-to-fill, and attrition rate.
• Provide data-backed recommendations to optimize resource allocation and operational efficiency.

• Support management with periodic analytical reports and performance dashboards.

• Automation & Reporting

• Automate data collection and report generation using Zoho Flow and Deluge scripting.
• Create real-time visual dashboards for department heads and project managers.

• Ensure timely delivery of data reports and analysis to support strategic decisions.

• Collaboration & Decision Support

• Work closely with HR, Finance, and Operations teams to improve processes through data insights.
• Prepare trend analyses, forecasts, and executive summaries for internal reviews.
• Maintain confidentiality and integrity of all organizational data.

Qualifications & Experience

• Bachelor's degree in
  Data Analytics, Computer Science, Statistics, or Business Administration
  .
• 3–5 years of experience
  as a Data Analyst or Business Analyst, preferably in the
  workforce outsourcing or contracting industry
  .
• Hands-on experience with
  Zoho applications
  (Recruit, People, CRM, Analytics).
• Proficiency in
  data visualization, report automation, and dashboard creation
  .

• Knowledge of
  SQL, Excel (advanced), and Zoho Deluge scripting
  preferred.

• Key Skills

• Strong analytical and problem-solving ability.
• Excellent understanding of workforce metrics and operational data.
• High proficiency in Zoho Analytics and business reporting.
• Attention to detail and data accuracy.
• Strong communication and presentation skills.
• Ability to manage large datasets and deliver insights under tight deadlines.

Performance Metrics

• Accuracy and timeliness of analytical reports.
• Quality of dashboards and data visualizations.
• Reduction in manual reporting efforts through automation.
• Effectiveness of insights in improving workforce operations.