6 Data Manipulation jobs in the United Arab Emirates
Master Data Management Lead
Posted today
Job Viewed
Job Description
Join us at Enquo, where we're dedicated to harnessing the transformative power of data and technology. As leaders in technology and data solutions, we prioritize humanity in everything we do. Our mission is clear: to empower organizations to unlock the full potential of their data through cutting-edge technology and exceptional services.
We envision a brighter future, where technology ignites extraordinary achievements and drives profound transformation. Here at Enquo, challenges are opportunities, and our passionate team thrives on making meaningful impacts on society. With humility and a collaborative spirit, we leverage teamwork and creative thinking to deliver optimal and trustworthy solutions.
Asa purpose-driven company, were passionate about using data and technology as catalysts for positive change. Our vision extends to a world where everyone can harness the power of data to reach their fullest potential. At Enquo, honesty, trust, and empathy form the foundation of our simple business language. Were agile, adaptable, and committed to bridging any business need with innovative data solutions.
Join our journey, where curiosity and entrepreneurship drive us to explore uncharted territories and create solutions that truly matter. We foster a collaborative and inclusive environment, valuing every team member's contributions. If you're a talented, curious, and creative individual who thrives in a fast-paced, dynamic setting, we invite you to be part of our mission. Together, let's create new opportunities through data and technology, shaping a more humane future for all.
Enquo: fueling a better future through innovation, data, and technology.
Role DescriptionThe Master Data Management Lead will be responsible for defining, designing, and building dimensional databases to meet business needs. Assisting in the application and implementation procedures of data standards and guidelines coding structures and data replication to ensure access to and integrity of data sets.
Key Responsibilities- Excellent experience in Master Data Management including include Meta-Data Management, Data Migration, Data Security and Data Transformation/Conversion
- Experience in ETL processes and advanced SQL skills.
- Intermediate Requirements Gathering/Elicitation, Documentation, and Source to Target mapping skills.
- Working knowledge of Conceptual, Logical and Physical Data Modeling concepts as well as Database design concepts
- Practical experience working in an Agile Methodology
- Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
- Proven experience in data quality management, with at least 8 years of experience in a leadership role.
- Strong understanding of data quality frameworks, tools, and methodologies.
- Proficiency in SQL and experience working with data profiling tools.
- Excellent analytical and problem-solving skills.
- Leadership and team management abilities.
- Effective communication and collaboration skills.
- Familiarity with data governance principles is a plus.
Manager - TSG - Data Management for UAE Nationals
Posted 126 days ago
Job Viewed
Job Description
Data Processing Technician - Radar
Posted 3 days ago
Job Viewed
Job Description
• Install and configure Linux systems (laptops/desktops) in our lab and field environments. • Manage disk partitions, filesystems (including btrfs), package installations and system upkeep. • Perform basic network configuration (e.g., setting up interfaces, routing, firewalls). • Develop automation scripts using shell/bash to streamline workflows. • Process radar data: geocoding, value-added editing, quality-control of radar output from our unique triple-band interferometric systems. • Collaborate with engineering and field teams on data deliverables; ensure data integrity and timely delivery.
Requirements
We are looking for a motivated and technically skilled professional who enjoys working with complex radar data and Linux-based systems. The ideal candidate will have a strong combination of analytical ability, attention to detail, and hands-on experience with system configuration and scripting. • Excellent knowledge of Linux (installation, configuration, troubleshooting) and command-line tools. • Strong bash/shell scripting skills for automation and workflow optimisation. • Programming experience in Python and IDL for data processing and analysis. • Experience with system administration tasks such as managing partitions, filesystems (including btrfs), and package installations. • Understanding of networking basics, including setup and troubleshooting. • Very good English communication skills (spoken and written). Desirable (Nice to Have) • Previous experience with radar data processing or remote sensing applications. • Knowledge of geospatial data formats and coordinate systems. • Familiarity with cloud environments or high-performance computing (HPC). • Experience collaborating with international or multidisciplinary teams. Personal Qualities • Detail-oriented, methodical, and comfortable working with large datasets. • Eager to learn and explore new radar data processing techniques. • Able to work both independently and as part of a small, innovative team. • Enthusiastic about technology that supports environmental and scientific applications.
About the company
We use a technology with great potential, transformed into a unique solution, the most compact 3-band interferometric radar in the world. From a remote sensing radar that weighed 100 kg and was transported by aviation, we developed a radar that weighs 3 kg and can be shipped into a class 3 drone.
Knowledge Management Specialist - Data & AI (UAE National)
Posted today
Job Viewed
Job Description
Abu Dhabi, United Arab Emirates | Posted on 06/25/2025
Our client is seeking a motivated Analyst to join the Data & AI team , focused on harnessing data and insights to support informed investment decisions. This role centers around knowledge management, stakeholder engagement, reporting, and change management , with a strong emphasis on optimizing the Client’s Document Management System (DMS) to align with strategic business goals.
The Analyst will collaborate cross-functionally with business stakeholders, data engineers, dashboard developers, and data stewards to ensure business needs are effectively met through Data & AI solutions.
Knowledge Management
Promote a culture of knowledge sharing and collaboration across investment teams and departments.
Ensure employees are informed and trained on knowledge management tools and practices.
Capture, organize, and distribute relevant knowledge effectively and efficiently.
Foster a continuous learning environment by facilitating feedback loops and sharing best practices.
Establish and maintain a Knowledge Management Community of Practice (CoP) to encourage cross-team collaboration and knowledge exchange.
Act as a liaison between business stakeholders and the Data & AI team to gather and validate requirements.
Support end users in the adoption and usage of Data & AI solutions.
Train and enable super-users to champion knowledge and data practices within their teams.
Coordinate with other departments (e.g., HR for training or Communications for branding) to align broader initiatives.
Adapt DMS and associated tools to reflect changes in business priorities and operating models.
Oversee content management including:
Proper document storage and repository management
Permissions and access control
Metadata tagging and classification
Governance compliance and audit readiness
Update taxonomies, templates, and publishing workflows as required.
Develop and maintain reports on usage, risks, permissions, and effectiveness of Data & AI tools.
Monitor system performance and recommend enhancements based on user feedback and business needs.
Drive adoption of new Data & AI tools through structured change management and training initiatives.
Support implementation of new features and capabilities across systems.
Maintain a network of super-users to support change at scale.
Advocate for DMS best practices and keep users updated on process/system changes.
Bachelor’s degree, preferably in a quantitative or analytical discipline.
Strong ability to translate technical concepts into business-friendly language.
Detail-oriented with a knack for data interpretation and analysis.
Familiarity with Microsoft SharePoint, Teams, and PowerApps is preferred.
Excellent communication and stakeholder management skills.
1–2 years of experience in knowledge management, business analysis, or a related field.
Exposure to business process management or application support is a plus.
If you’re passionate about data-driven decision-making and creating a knowledge-first culture, we encourage you to apply.
Course: Effective Business Decisions Using Data Analysis
Posted today
Job Viewed
Job Description
Effective Business Decisions Using Data Analysis
ID 257
Course: Effective Business Decisions Using Data Analysis
This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.
This course will feature:- Discussions on applications of data analytics in management
- The importance of data in data analytics
- Applying data analytical methods through worked examples
- Focusing on management interpretation of statistical evidence
- How to integrate statistical thinking into the work domain
- Explain the scope and structure of data analytics.
- Apply a cross-section of useful data analytics.
- Interpret meaningfully and critically assess statistical evidence.
- Identify relevant applications of data analytics in practice.
- Professionals in management support roles
- Analysts who typically encounter data/analytical information regularly in their work environment
- Those who seek to derive greater decision-making value from data analytics
This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context.
The Course Content- Day One: Setting the Statistical Scene in Management
- Introduction; The quantitative landscape in management
- Thinking statistically about applications in management (identifying KPIs)
- The integrative elements of data analytics
- Data: The raw material of data analytics (types, quality, and data preparation)
- Exploratory data analysis using Excel (pivot tables)
- Using summary tables and visual displays to profile sample data
- Day Two: Evidence-based Observational Decision Making
- Numeric descriptors to profile numeric sample data
- Central and non-central location measures
- Quantifying dispersion in sample data
- Examine the distribution of numeric measures (skewness and bimodal)
- Exploring relationships between numeric descriptors
- Breakdown analysis of numeric measures
- Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
- The foundations of statistical inference
- Quantifying uncertainty in data – the normal probability distribution
- The importance of sampling in inferential analysis
- Sampling methods (random-based sampling techniques)
- Understanding the sampling distribution concept
- Confidence interval estimation
- Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
- The rationale of hypotheses testing
- The hypothesis testing process and types of errors
- Single population tests (tests for a single mean)
- Two independent population tests of means
- Matched pairs test scenarios
- Comparing means across multiple populations
- Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
- Exploiting statistical relationships to build prediction-based models
- Model building using regression analysis
- Model building process – the rationale and evaluation of regression models
- Data mining overview – its evolution
- Descriptive data mining – applications in management
- Predictive (goal-directed) data mining – management applications
Business Analysis and Data Analyst
Posted today
Job Viewed
Job Description
Overview
Job Title: Business Data Analyst (Banking) - Digital Transformation
Job Type: Full-Time Contract (1 year, renewable)
Location: On-site, Dubai, Dubai, United Arab Emirates
Job Summary:
Join our team as a Business Data Analyst at the forefront of digital transformation within a leading UAE bank. In this pivotal role, you will bridge business stakeholders and technology teams, applying deep analytical expertise to drive insights, optimize processes, and elevate customer journeys across key digital banking initiatives. Embrace an asynchronous work culture that values exceptional written communication and proactive problem-solving.
Key Responsibilities- Elicit, analyze, and document business requirements, user stories, and process flows for digital projects.
- Act as a key liaison between business units and technical teams to ensure clear understanding of project objectives.
- Conduct gap analysis and impact assessments for new features and system changes within core banking functions.
- Participate in Agile/Scrum ceremonies, including sprint planning, backlog grooming, and daily stand-ups.
- Design and execute test scenarios, supporting user acceptance testing (UAT) and solution validation.
- Write complex SQL queries to extract and analyze large datasets, generating actionable insights and KPI reports with Power BI.
- Translate analytical findings into clear, data-driven recommendations and presentations for diverse stakeholders.
- Bachelor’s degree in Computer Science, Engineering, Finance, Business, or a quantitative discipline.
- 5-9 years’ experience as a Business Analyst, with a strong background in Banking, Financial Services, or FinTech.
- High proficiency in SQL and PL/SQL, with hands-on experience in Power BI for data visualization.
- Proven experience working with core-banking systems and exposure to digital transformation projects.
- Solid understanding of Agile methodologies (Scrum, Kanban) and expertise with JIRA.
- Exceptional written communication skills, adept at working in asynchronous, collaborative environments.
- Strong analytical and critical thinking abilities with excellent stakeholder management.
- Relevant professional certifications (CBAP, PMI-PBA, Agile Scrum, Data Analytics).
- Experience with data modeling, Python or R for advanced analytics, and systems like Flexcube or OFSAA.
- Expertise in digital banking products, customer journey mapping, and process optimization.
Become part of our team and contribute to high-impact initiatives, working on projects that set industry standards and drive meaningful change. We foster an inclusive, high-performing culture offering career development opportunities, comprehensive benefits, and a collaborative environment to help you thrive.
#J-18808-LjbffrBe The First To Know
About the latest Data manipulation Jobs in United Arab Emirates !