200 Data Modeling jobs in the United Arab Emirates

Develop and deploy models for European markets using Python, Julia, Golang/C#.

Work closely with researchers and traders to develop models, tools, and analytics solutions that improve scalability and performance.

Built and maintain tools to analyze model results, monitor them, and make informed trading decisions.

• 2+ years of working experience, preferably in commodity markets.
• Strong programming skills (Python, SQL, NoSQL, and one of GoLang/C#/C++).
• Focus on performance, reliability, and effective prioritization of multiple projects.
• Ability to work independently and detail-oriented.

• Experience in deploying models to the cloud and optimizing their performance.
• Experience developing UIs to analyze and monitor model/strategy performance.
• Experience with Julia programming language.

Job Description

We are seeking an experienced Telecom Data Modeling Specialist to join our team. As a key member of our analytics and operational systems, you will design and maintain scalable data models to support business needs.

• Develop conceptual logical and physical data models aligned with telecom business requirements.
• Translate telecom specific requirements usage analytics churn billing network KPIs into efficient data structures.
• Collaborate with data engineers to implement models across data warehouses and lakes.
• Ensure data consistency traceability and compliance across systems.

• 5 plus years of experience in data modeling with at least 2 years in telecom domain.
• Proficient with modeling tools like Erwin or ER Studio.
• Strong knowledge of relational and dimensional modeling techniques.
• Familiarity with telecom data sources CDRs OSS BSS systems.
• Excellent analytical and communication skills.

This role offers a unique opportunity to work with a talented team and contribute to the development of cutting-edge data models.

Job Title: Data Modeler and Business Insights Specialist

Job Summary:

The Data Modeler and Business Insights Specialist will design, develop, and maintain scalable data models to support telecom analytics and operational systems. This role requires a strong understanding of telecom data domains, including subscribers, call detail records (CDRs), plans, and usage metrics.

Key Responsibilities:

• Develop conceptual, logical, and physical data models aligned with telecom business needs.
• Translate telecom-specific requirements, usage analytics, churn, billing, network KPIs into efficient data structures.
• Collaborate with data engineers to implement models across data warehouses and lakes.
• Ensure data consistency, traceability, and compliance across systems.
• Maintain metadata, data dictionaries, and modeling documentation.

Required Skills and Qualifications:

• 5+ years of experience in data modeling with at least 2 years in the telecom domain.
• Proficient with modeling tools like Erwin or ER Studio.
• Strong knowledge of relational and dimensional modeling techniques.
• Familiarity with telecom data sources, CDRs, OSS, BSS systems.
• Excellent analytical and communication skills.

Job Summary:

• This role is responsible for maintaining customer and account databases by accurately entering new and updated information.

The ideal candidate will prepare source data for computer entry, compile and sort information, prioritize tasks to meet deadlines, and process customer and account source documents.

They will also resolve deficiencies using standard procedures and enter data into the system according to established protocols.

Maintaining data integrity is crucial, and the candidate will verify entered data, correct errors, and secure information through regular backups.

Ultimately, this position contributes to team success by following policies and procedures, reporting changes, and upholding confidentiality.

Key Responsibilities:

• Maintain accurate and up-to-date customer and account databases.
• Prepare source data for computer entry and compilation.
• Prioritize tasks to meet deadlines and ensure efficient workflow.
• Resolve discrepancies and errors in a timely manner.
• Enter data into the system according to established protocols and standards.

Requirements:

• Minimum 2 years of experience as a data entry specialist with a focus on database management.
• Strong analytical and problem-solving skills.
• Ability to maintain accuracy and attention to detail.
• Excellent communication and interpersonal skills.

Description:

We are seeking an experienced and detail-oriented individual to join our team as a Data Entry Assistant. In this role, you will be responsible for ensuring the accurate and efficient transfer of data between various systems and databases within our e-commerce platform.

Key Responsibilities:

1. Data Import/Export: Transfer data between internal and external systems, databases, and platforms, ensuring data accuracy and integrity.
2. Data Validation: Review and validate data to identify and correct any errors or inconsistencies, ensuring high data quality.
3. Inventory Management: Assist in updating and managing product listings, pricing, and inventory levels in real-time.
4. Data Transformation: Convert data from various formats (e.g., CSV, Excel) into the appropriate format for our databases and systems.
5. Data Mapping: Create and maintain data mapping documents to ensure proper data flow between systems and platforms.
6. Automation: Identify opportunities to automate data loading and transfer processes to improve efficiency and reduce manual efforts.
7. Data Maintenance: Regularly monitor and maintain data to ensure accuracy, completeness, and timeliness.
8. Collaboration: Work closely with cross-functional teams such as IT, marketing, and operations to meet data-related requirements and resolve issues.
9. Reporting: Generate and distribute reports on data-related activities, such as data transfer success rates and data quality metrics.

Requirements:

1. Proven experience in data management, data loading, or similar roles, preferably in an e-commerce environment.
2. Proficiency in data manipulation tools and languages such as SQL, Excel, and scripting languages.
3. Strong attention to detail and a commitment to data accuracy.
4. Problem-solving skills and the ability to troubleshoot data-related issues.
5. Excellent communication and collaboration skills.
6. Knowledge of e-commerce platforms and systems is a plus.

Benefits:

This is a full-time position that requires reliable commute or willingness to relocate with an employer-provided relocation package.

Job Title: Data Management Specialist

We are seeking a highly skilled Data Management Specialist to join our team. The successful candidate will be responsible for managing data within our product information management system, ensuring it is up-to-date and accurate.

The ideal candidate will have excellent organizational skills, be able to multitask effectively, and possess strong communication and interpersonal skills.

• Manage data within the product information management system
• Ensure data accuracy and completeness
• Work closely with technical teams to ensure seamless integration
• Support CAD designers and graphic designers as needed

Required Skills:

• Excellent product knowledge and experience with the AX/code creation system
• Previous work experience in AutoCAD and Photoshop (desired)
• Strong analytical and problem-solving skills
• Ability to work independently and as part of a team

• Opportunity to work with a dynamic team
• Professional development and growth opportunities
• A competitive compensation package

Talentera Inc. is seeking a skilled professional to join our team. This individual will be responsible for managing and maintaining records, providing exceptional customer service, and collaborating with colleagues to achieve business objectives.

We are seeking a highly skilled Manager - Risk Data Management to join our team. As a key member of our organization, you will be responsible for managing risk data, including capturing, organizing, storing, and analyzing it for the development, validation, and implementation of Credit Risk Models and Scorecards.

You will provide advanced quantitative analytics support to our overall Risk Management function, formulating management techniques for quality data collection to ensure adequacy, accuracy, and legitimacy of data.

Your role will involve ensuring the implementation of risk rating models and scorecards in compliance with IFRS 9 and Basel requirements, engaging in Risk Architecture projects, and developing and implementing AI analytics to analyze risk data, use machine learning techniques to identify patterns, trends, and potential risks.

You must have strong knowledge of Information Technology systems, Risk Management systems, tools, applications, and relational database management system software development and ability to code.

The ideal candidate will have excellent Credit Risk modelling analytical and research skills, experience working with large and complex data sets, good knowledge of financial markets and products, and awareness of the latest analytical techniques.

Key Responsibilities:

• Manage and maintain data for risk models implementation and scorecards development.
• Devising and implementing efficient and secure procedures for data management and analysis with attention to all technical aspects.
• Liaise and engage with external vendors and IT team for project implementation.
• Good quantitative analysis and finance skills experience of working with Statistical Software (SAS/Python/R).

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• Masters degree is preferred
• Minimum 5 years of total experience in handling data management projects, data science, machine learning model development within banking and finance sector preferably in Credit Risk domain i.e. Basel II and IFRS 9 Risk models development and implementation risk analytics reporting.

Benefits:

This role offers an exciting opportunity to work in a dynamic environment, where you will have the chance to utilize your skills and expertise to drive business success. You will be part of a talented team, working on challenging projects, and contributing to the growth and development of our organization.

Job Description:

We are seeking a highly skilled Senior Data Management Specialist with a strong background in Informatica Intelligent Data Management Cloud (IDMC) and Data Quality & Governance. The ideal candidate will bring deep expertise in data lakes enterprise data management and at least one end-to-end IDMC implementation experience.

Key Responsibilities:

• Lead and support IDMC implementation projects.
• Ensure high standards of data quality governance and compliance.
• Design and manage data lake solutions.
• Collaborate with cross-functional teams to align data strategy with business objectives.
• Provide guidance on metadata management data lineage and stewardship practices.

Required Qualifications:

• 7-12 years of overall experience.
• 3 years of hands-on experience with Informatica IDMC.
• 5 years in Data Quality and Governance.
• Experience working with Data Lakes and modern data architectures.

Vertical:

Technology