42 Data Analysis Tools jobs in Dubai

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

Data Governance Expertise

Key Responsibilities include providing subject matter expertise in data management framework implementation, managing project plan, budget, risk, and overseeing the implementation of policies, standards, and procedures.

Key Requirements:

• A highly skilled Data Governance Project Lead (SME) with a background in Data governance, Project Management, and Change Management within Banking & Financial Services industry.
• Excellent communication skills, with good planning, budgeting, and program management experience.
• Experience in implementing Data Management frameworks, policies, and procedures organization-wide.

Beyond these Key Requirements, our ideal candidate will also have:

• Bachelor's degree in Computer Science, Information Systems, Finance, or related field; Master's preferred.
• Minimum 12 years of experience in Data Management and Governance in Banking & Financial Services.
• Understanding of DAMA and industry best practices.
• Proficiency in English; Arabic beneficial.
• Strong understanding of banking processes, systems, and regulatory requirements.
• Experience with Data Governance tools such as Informatica DEQ, EDC, AXON.
• Experience managing budgets and executing projects successfully.
• Hands-on experience in Data Strategy implementation and large-scale project oversight.
• Strong analytical, problem-solving, and stakeholder management skills.

We offer a unique opportunity for professional growth and development. If you are motivated by challenging projects and desire to make meaningful contributions to an innovative organization, we encourage you to apply.

Job Title: Data Governance Expert

We are seeking a highly skilled professional to lead our data management initiatives.

Key Responsibilities:

• Design and implement robust data governance frameworks.
• Develop and maintain high-quality metadata management systems.
• Collaborate with cross-functional teams to align data strategy with business objectives.
• Provide guidance on data lineage, stewardship practices, and compliance requirements.

Requirements:

• 7-12 years of overall experience in data management.
• 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.

Preferred Qualifications:

• Familiarity with cloud-based data platforms.
• Strong understanding of data security and compliance regulations.
• Ability to work in a fast-paced environment and adapt to changing priorities.

About the Role:

This is an excellent opportunity for a seasoned data management professional to join our team and contribute to shaping our data strategy.

What We Offer:

• A dynamic and collaborative work environment.
• Opportunities for growth and professional development.
• Competitive compensation and benefits package.

We are currently looking forMaster Data Management (MDM) Consultant forourUAE operations with the following Skill set and terms & conditions.

Skill Sets :

Implements and maintains MDM platforms (e.g. Informatica MDM SAP MDG).

Ensures consistency of key master data domains: customers products vendors etc.

Knowledge of data matching survivorship rules and data governance frameworks.

Strong integration skills with ERPs CRMs and external systems.

Typically 58 years of experience.

5 to 8 Years.

Joining time frame:2 weeks (maximum 1 month)

Additional Information :

Terms and conditions:

Joining time frame: maximum 4 weeks

Remote Work :

No

Employment Type :

Full-time

Data Management, Manipulation and Analysis using Excel

ID 473

Course: Data Management, Manipulation and Analysis using Excel

This course is aimed at professionals who have, or will soon have, responsibility for managing and manipulating data using MS Excel on a day-to-day basis. The course assumes zero knowledge, begins with an introduction to the Excel environment, and ends with delegates being skilled in using 50+ MS Excel functions, sophisticated data management, and charting techniques, and advanced data analysis capability.

This course will feature:

• Advanced data analysis
• Both textual and numerical data
• Forecasting
• Advanced charting

By the end of this course, participants will be able to:

• Analyse relationships across information and data using MS Excel.
• Generate data forecasts using MS Excel.
• Organise your company’s data in a more structured manner.
• Analyse your data effectively using various MS Excel techniques.
• Select the appropriate chart for your data.

This course is suitable for a wide range of professionals but will greatly benefit:

• Administrators using MS Excel at a very basic level
• Administrators with a need to improve data management techniques utilising MS Excel
• New Administrative Staff with no prior knowledge of MS Excel
• HR professionals seeking to use MS Excel to analyse employee data and inventory data
• Oil and Gas, telecommunications, and electricity industry employees looking to improve their data management and data representation skills

This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The course will be split up into themes with a series of exercises based on each theme. The approach will also be incremental with each session building on prior knowledge. Each delegate will be introduced to practical, hands-on learning using MS Excel.

Delegates can bring their own Windows or Mac OS laptop to the sessions, for them to be comfortable with the environment and version of MS Excel that they will be working on.

Day One: An Introduction to the MS Excel Environment

• Cell referencing, cell formatting, and entering formula
• Copy and pasting
• Introductory charts

Day Two: Using MS Excel Functions for Fundamental Data Analysis

• Use of text function, FIND(), LEN(), LEFT(), RIGHT() and &
• Use of count functions, COUNTA(), COUNTIF(), COUNTIFS() and SUMIF()
• Basic statistical functions, Max and Average
• Filtering, sorting, and use of conditional formatting

Day Three: Intermediate MS Excel Functions

• Use of VLOOKUP() and HLOOKUP()
• Date functions, YEAR(), MONTH(), DAY(), YEARFRAC()
• Selecting appropriate charts
• Introduction to Pivot tables

Day Four: Carrying out Statistical Analysis using MS Excel

• Using MS Excel to calculate mean, mode, and median
• The difference between the various standard deviation and variance function in MS Excel
• Using MS Excel to examine inter-dependency
• Drawing histograms in MS Excel
• Introduction to Data Analysis functions

Day Five: What if and Scenario Analysis Using MS Excel

• Naming cells in MS Excel
• Linking cells together to undertake scenario analysis
• Introduction to solver
• Advanced charting
• Sharing MS Excel output with other office formats

European Quality Training and Management Consultancy

At European Quality Training and Management Consultancy, we provide high-quality training and consultancy services to develop future leaders. With a team of skilled experts, we tailor programs to meet the needs of public and private sectors, grounded in quality, ethics, and social responsibility. Our client-focused approach ensures professionalism and sustainable outcomes.

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A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

Log In Only registered users can open employer contacts.

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

Log In Only registered users can open employer contacts.

We are seeking an experienced Senior Lead Data Scientist to join our team.

• Minimum 10+ years of overall experience with extensive experience in AI/ML or data science, with at least 2-3 years in a leadership role.
• Proven experience in banking or financial services is highly preferred.
• Hands-on with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and tools (Python, SQL, Spark).
• Experience with end-to-end model lifecycle management and MLOps.
• Proven leadership in managing high-performing AI/ML teams.
• Strong understanding of statistical modeling, machine learning, deep learning, and NLP.
• Experience deploying models in production (on-prem/cloud).
• Strategic thinking with strong stakeholder management and influencing capabilities.
• High level of ethics and regulatory awareness in deploying AI in banking.
• Excellent verbal and written communication skills.

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We are currently seeking a skilled professional for our data science team. Below are the key requirements and responsibilities of this role.

The Senior Data Scientist will be responsible for leading complex data projects, developing predictive models, and analyzing large datasets to drive business decisions.

• Advanced knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks)
• Knowledge of additional programming languages (Python, C, Java) is highly desirable
• Strong problem-solving and quantitative skills, with intellectual curiosity
• Proven leadership skills, with the ability to inspire others and create a followership
• Excellent communication skills, capable of conveying analytical and technical content clearly

1. Bachelor's degree in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics
2. 8-10 years of hands-on experience in mathematical modeling within a business environment
3. Proven experience working with large datasets and relational databases (SQL)
4. Strong knowledge of one or more data science or decision science domains
5. Ability to articulate analytic processes from start to finish

• Joining timeframe: within 2 weeks, maximum 1 month
• Remote Work: No
• Employment Type: Full-time