data scientist

ai data scientists (cctv analytics) Jobs in Abu Dhabi

ai data scientists (cctv analytics)

data architect

financial analyst

senior data scientist

data analyst

Bybit

<div>
 
 Job Overview
 
 
 We are seeking a data-driven professional with extensive hands-on experience in big data analytics to join our team. The ideal candidate will be responsible for transforming complex datasets into clear, actionable insights that drive strategic business decisions. This role requires strong technical proficiency in data analytics tools, programming languages, and visualization platforms, along with the ability to manage multiple projects in a fast-paced environment. The candidate should demonstrate exceptional problem-solving skills, analytical thinking, and the ability to deliver accurate, insightful reports that support business growth and operational efficiency.
 
 
 
 
 
 Job Responsibilities
 
 
 Based on business goals and business models, establish a comprehensive, accurate, and objective indicator system and monitoring and analysis framework. At the same time, based on the business monitoring and analysis framework, clearly understand the overall business situation and locate business issues;
 
 
 Through thematic analysis, conduct in-depth analysis of business issues, provide data support and decision-making basis for company operational decisions, marketing strategies, product directions, etc.;
 
 
 Precipitation analysis method and monitoring framework, extract data product requirements, collaborate with relevant teams (such as development team, product team) and promote the landing of data products;
 
 
 Collaborate with relevant teams to organize training and sharing of concepts, skills, methods, and tools related to data technology.
 
 
 
 
 
 Job Requirements
 
 
 Bachelor's degree or above in statistics, mathematics, information technology, or economics, with 3-5 years of relevant work experience;
 
 
 Experience in digital currency, internet, and e-commerce is preferred;
 
 
 Good logical analysis ability and data sensitivity, able to extract core results from massive data, timely discover and analyze deep changes and root causes behind business appearances;
 
 
 Proficient in data extraction tools such as SQL, proficient in operating tools such as Excel, PPT, Tableau, etc.;
 
 
 Strong logical thinking ability, outstanding language expression ability, proficient in independently writing business Data Analysis reports;
 
 
 Good business knowledge and understanding of business mechanisms and models, able to insight into business opportunities from the perspective of business development;
 
 
 Outstanding communication and teamwork skills, with certain XFN and cross-team project experience, able to independently promote project execution.
 
 
 Fluent English skills
 
 
 Strong adaptability and time management skills to thrive in a fast-paced work environment
 
 
 
 
 
 工作职责
 
 
 1、根据业务目标和业务模式，建立一套全面、准确、客观的指标体系和监测分析框架。同时，基于这一业务监测分析框架，能够清晰了解整体业务状况，并定位业务问题
 
 
 2、通过专题分析，对业务问题进行深入剖析，为公司运营决策、营销策略、产品方向等方面提供数据支持和决策依据
 
 
 3、降水分析方法与监测框架，提取数据产品需求，与相关团队（如开发团队、产品团队）协作，并推动数据产品的落地
 
 
 4、与相关团队协作，组织培训并分享与数据技术相关的概念、技能、方法及工具。
 
 
 
 
 
 职位要求
 
 
 1、拥有统计学、数学、信息技术或经济学专业学士学位或以上学位，并具有 3 至 5 年的相关工作经验
 
 
 2、具备数字货币、互联网及电子商务方面的经验者优先考虑
 
 
 3、具备良好的逻辑分析能力和数据敏感性，能够从海量数据中提炼核心结果，及时发现并分析表象背后的深层变化和根本原因
 
 
 4、熟练掌握数据提取工具，如 SQL；精通操作工具，如 Excel、PPT、Tableau 等
 
 
 5、具备强大的逻辑思维能力，出色的语言表达能力，擅长独立撰写商业数据分析报告
 
 
 6、具备良好的商业知识以及对商业机制与模式的深刻理解，能够从企业发展的角度敏锐洞察商业机遇
 
 
 7、具备卓越的沟通与协作能力，拥有一定的 XFN 和跨团队项目经验，能够独立推动项目执行。
 
 
 8、流利的英语技能
 
 
 9、具备强大的适应能力和时间管理能力，能够在快节奏的工作环境中游刃有余
 
</div>

Data Analyst

Birbal AI

<div>
 
 The Data Quality Specialist will be responsible for reviewing, validating, cleansing, and improving the quality of organizational data across enterprise systems, databases, reports, dashboards, and operational records.
 
 
 The candidate will help ensure that data used for operations, reporting, dashboards, integrations, and decision-making is accurate, complete, consistent, valid, and reliable.
 
 
 
 
 
 Key Responsibilities
 
 
 Perform data profiling to identify missing, duplicate, invalid, inconsistent, or outdated records.
 
 
 Review data across enterprise systems, CRM, databases, reports, dashboards, and Excel files.
 
 
 Define and apply data validation rules for mandatory fields, formats, codes, reference values, and business rules.
 
 
 Identify data quality issues and prepare clear issue logs for resolution.
 
 
 Support data cleansing activities in coordination with business and technical teams.
 
 
 Validate data updates, corrections, migrations, and system changes.
 
 
 Reconcile data between source systems, reports, dashboards, and operational records.
 
 
 Work with Data Engineers to resolve mapping issues, pipeline issues, and integration-related data errors.
 
 
 Prepare data quality reports showing issue counts, root causes, trends, and resolution status.
 
 
 Support report accuracy by validating source data and dashboard outputs.
 
 
 Maintain data quality documentation, validation rules, cleansing logs, and issue trackers.
 
 
 Ensure data confidentiality, privacy, governance, and compliance requirements are followed.
 
 
 
 
 
 Required Skills
 
 
 Good SQL knowledge for data checking, validation, and analysis.
 
 
 Strong Excel skills, including filtering, formulas, lookup functions, and data comparison.
 
 
 Experience in data profiling, data cleansing, data validation, and data reconciliation.
 
 
 Understanding of data quality dimensions such as accuracy, completeness, consistency, uniqueness, validity, and timeliness.
 
 
 Ability to identify duplicate records, missing values, wrong formats, and incorrect mappings.
 
 
 Knowledge of databases, reports, dashboards, and enterprise application data.
 
 <ul>
 <li>
 Strong attention to detail, analytical thinking, and communication skills.
 </li>
 </ul>
</div>

Data Quality Analyst

Dicetek LLC

<div>
 We are looking for a detail-oriented and analytical Business Analyst with strong expertise in data modelling tools such as Erwin, ER Studio, and equivalent platforms. The ideal candidate will bridge business requirements and technical solutions by translating complex data needs into structured models, ensuring data accuracy, consistency, and quality across systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Gather, analyze, and document business requirements from stakeholders.
 </li>
 <li>
 Translate business needs into logical and physical data models.
 </li>
 <li>
 Design and maintain data models using Erwin, ER Studio, or similar tools.
 </li>
 <li>
 Collaborate with data architects, developers, and business teams to ensure alignment.
 </li>
 <li>
 Perform data analysis, data mapping, and data lineage documentation.
 </li>
 <li>
 Ensure data integrity, normalization, and standardization across systems.
 </li>
 <li>
 Support data governance and data quality initiatives.
 </li>
 <li>
 Create and maintain data dictionaries, ER diagrams, and metadata repositories.
 </li>
 <li>
 Identify process improvement opportunities and recommend data-driven solutions.
 </li>
 <li>
 Assist in UAT (User Acceptance Testing) and validate data-related requirements.
 </li>
 <li>
 Provide insights through reporting and data analysis to support decision-making.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Computer Science, Business Administration, or a related field.
 </li>
 <li>
 3&ndash;8 years of experience as a Business Analyst, preferably in data-centric roles.
 
 
 </li>
 </ul>
 
 Hands-on Experience With
 
 
 
 <ul>
 <li>
 Erwin Data Modeler
 </li>
 <li>
 ER Studio
 </li>
 <li>
 Other data modelling tools (e.g., PowerDesigner, Oracle SQL Developer Data Modeler)
 
 
 </li>
 </ul>
 
 Strong Understanding Of
 
 
 
 <ul>
 <li>
 Data Modelling (conceptual, logical, physical)
 </li>
 <li>
 Database design principles
 </li>
 <li>
 ER diagrams and normalization techniques
 </li>
 <li>
 Proficiency in SQL for data analysis.
 </li>
 <li>
 Experience in data mapping, ETL processes, and metadata management.
 </li>
 <li>
 Familiarity with data governance frameworks and data quality tools.
 </li>
 </ul>
</div>

Business Analyst- Data Modelling & Architecture

Damen

<div>We offer you an Ocean of Possibilities . Join our family.
Position Title: Business Analyst
Department: Data &amp; Analytics/ Shared Services/ Financial Group Control
Location: Damen Shared Services, Abu Dhabi
Reports To: Manager Data Analytics
Employment Type: Full-Time
JOB PURPOSE
As a Business Analyst at Damen, you play a key role in understanding business needs and translating them into actionable data and reporting solutions. You act as a bridge between business stakeholders and data/IT teams, ensuring that requirements are clearly defined, challenged where needed, and converted into meaningful dashboards, KPIs, and insights that support decision-making.
This role requires strong business understanding, stakeholder engagement, excellent communication skills and the ability to translate operational needs into structured BI solutions, with a focus on driving data-driven decision-making across the organization.
About the Organization
You will join an international organization where data and analytics are increasingly central to decision-making. The organization is actively professionalizing its data and BI landscape, with teams operating across multiple international locations.
A central data and analytics team collaborates with specialized teams for data engineering, data platform management, and dashboard development. Key focus areas include strengthening data governance, standardizing reports, and KPI definitions, and developing organization-wide dashboards.
Over the coming years, the data and BI domain will continue to expand, with the objective of embedding data-driven working practices across the organization.
KEY RESPONSIBILITIES
Business Understanding &amp; Stakeholder Engagement:
<ul><li>Develop strong understanding of business operations and processes
</li><li>Act as trusted advisor to stakeholders (Finance, Operations, Projects)
</li><li>Proactively challenge business requirements and assumptions to ensure clarity and feasibility
</li><li>Familiar with the agile way of working
</li><li>Facilitate workshops to define KPIs and reporting needs
</li></ul>Requirements Translation &amp; Solution Design:
<ul><li>Translate business needs into functional requirements and user stories
</li><li>Align business expectations with data models, dashboards, and reporting solutions
</li><li>Act as the bridge between business and technical/data teams
</li></ul>BI &amp; Reporting:
<ul><li>Support development of Power BI dashboards and reporting solutions
</li><li>Define and standardize KPIs and reporting frameworks
</li><li>Ensure outputs are business-relevant, actionable, and aligned with decision-making needs
</li></ul>Data Governance &amp; KPI Standardization:
<ul><li>Drive consistency in KPI definitions and reporting structures
</li><li>Support data governance initiatives and best practices
</li></ul>Stakeholder Enablement:
<ul><li>Support stakeholders in interpreting dashboards and insights
</li><li>Provide guidance and training on data-driven decision-making
</li></ul>KEY ACCOUNTABILITIES
<ul><li>Clear translation of business needs into (BI) solutions
</li><li>Adoption of standardized KPI frameworks
</li><li>Delivery of business-relevant dashboards and insights
</li><li>Strong alignment between business stakeholders and data/IT teams
</li><li>Improved data-driven decision-making across the organization
</li></ul>QUALIFICATIONS
Education:
<ul><li>Bachelor&rsquo;s Degree in Business Administration, Data Analytics, Information Systems, Finance, Engineering, Statistics, Computer Science, or related field
</li></ul>Experience:
<ul><li>5&ndash;8 years in Business Analysis or BI/reporting roles
</li><li>Strong stakeholder management and requirement gathering experience
</li><li>Proven experience translating business needs into data and BI solutions
</li><li>Mandatory experience in a project-based, engineering, manufacturing, or industrial environment
</li><li>Exposure to finance, business control, or operations domains is required
</li></ul>Business Knowledge:
<ul><li>Strong understanding of project-based environments and operations
</li><li>Experience working with finance, business control, or operational teams
</li><li>Ability to connect business processes with data and reporting solutions
</li></ul>Technical Skills:
<ul><li>Power BI (incl. Star Schema or similar relations)
</li><li>ERP systems (SAP, IFS, Dynamics)
</li><li>Understanding of data modelling concepts
</li></ul>Soft Skills:
<ul><li>Strong communication and stakeholder engagement
</li><li>Ability to challenge requirements constructively
</li><li>Ability to translate between business and technical teams
</li><li>Proactive, structured, and solution-oriented mindset
</li><li>Professional proficiency in English, both written and spoken.</li></ul></div>

Business Analyst – Data & Analytics

Antal International

<div>
 
 Antal International is collaborating with one of the UAEs leading government entities on a landmark initiative to modernize and strengthen the nation&rsquo;s financial infrastructure.
 
 
 
 
 
 This transformative program is driving the future of banking and financial services through
 
 AI, data analytics, and advanced digital technologies
 
 , including the development of next-generation AI-powered financial platforms.
 
 
 
 
 
 We are now looking to engage exceptional
 
 AI professionals (UAENationals and Expats)
 
 to be part of this high-impact transformation journey.
 
 
 
 
 
 
 
 ROLES IN DEMAND INCLUDE:
 
 
 
 <ul>
 <li>
 AI / Machine Learning Engineers
 </li>
 <li>
 AI/ ML Data Analyst
 </li>
 <li>
 Data Scientist (AI/ML Focus)
 </li>
 <li>
 Data Scientists &amp; Data Engineers
 </li>
 <li>
 AI Product &amp; Platform Specialists
 </li>
 <li>
 AI Digital Transformation Experts
 </li>
 <li>
 Analytics &amp; AI Strategy Professionals
 </li>
 </ul>
 
 
 
 
 
 
 KEY RESPONSIBILITIES
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML models and data-driven solutions to solve complex business problems
 </li>
 <li>
 Work on end-to-end machine learning lifecycle including data collection, feature engineering, model training, evaluation, and deployment
 </li>
 <li>
 Build scalable data pipelines and support data engineering activities for structured and unstructured data
 </li>
 <li>
 Perform advanced data analysis to generate actionable insights for business and technology stakeholders
 </li>
 <li>
 Collaborate with product teams to integrate AI capabilities into digital platforms and applications
 </li>
 <li>
 Support AI-driven digital transformation initiatives across business functions
 </li>
 <li>
 Develop dashboards, analytics frameworks, and reporting systems for decision-making
 </li>
 <li>
 Contribute to AI strategy, experimentation, and innovation initiatives
 </li>
 <li>
 Ensure model performance, optimization, and continuous improvement in production environments
 </li>
 <li>
 Work closely with cross-functional teams including product, engineering, and business stakeholders
 </li>
 </ul>
 
 
 
 
 
 
 REQUIRED SKILLS &amp; QUALIFICATIONS
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, Engineering, Mathematics, or related field
 </li>
 <li>
 Strong understanding of
 
 AI, Machine Learning, and Data Analytics concepts
 
 </li>
 <li>
 Experience with Python, SQL, and data processing frameworks
 </li>
 <li>
 Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
 </li>
 <li>
 Knowledge of data engineering tools and cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Experience in building dashboards and analytical models is an advantage
 </li>
 <li>
 Strong problem-solving, analytical, and communication skills
 </li>
 <li>
 Ability to work in fast-paced, agile, and transformation-driven environments
 </li>
 </ul>
 
 
 
 
 
 
 WHAT YOU&rsquo;LL WORK ON
 
 
 
 <ul>
 <li>
 Building and deploying AI/ML models and intelligent systems
 </li>
 <li>
 Developing scalable data pipelines and analytics solutions
 </li>
 <li>
 Driving AI-powered digital transformation initiatives
 </li>
 <li>
 Collaborating with product, engineering, and business teams
 </li>
 <li>
 Delivering insights and solutions that impact real business outcomes
 </li>
 </ul>
 
 
</div>

AI, Data & Digital Transformation Professionals (UAEN & Expats)

Core42

<div>
 
 
 About Us
 
 
 
 Core42, a leader in AI-powered cloud and digital infrastructure, is driving transformative technology solutions globally. Leveraging advanced resources and partnerships, Core42 empowers clients to harness sovereign AI infrastructure, especially in sectors with stringent regulatory needs. With a mission to redefine digital transformation, we combine sovereign capabilities with scalable, high-performance compute infrastructure, positioning itself at the forefront of AI innovation in the Middle East and beyond.
 
 
 
 
 
 
 The Opportunity
 
 
 
 We are seeking an Engineer &ndash; Data Analytics and Reporting to establish, enhance, and manage operational metrics and KPI frameworks across Core42&rsquo;s platforms. This role will focus on driving data-driven decision-making through advanced reporting, dashboarding, and analytics, ensuring service performance aligns with SLAs and operational objectives.
 
 
 Working within the Product Operations team, you will collaborate closely with Service Managers, Process Owners, and ITSM teams to deliver actionable insights that improve service efficiency and performance.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Data Analytics &amp; Reporting
 
 
 <ul>
 <li>
 Design, develop, and maintain performance dashboards using Power BI and Jira
 </li>
 <li>
 Create clear, actionable service performance reports for stakeholders and senior leadership
 </li>
 <li>
 Translate complex operational data into meaningful insights
 </li>
 </ul>
 
 
 KPI &amp; Metrics Management
 
 
 <ul>
 <li>
 Define and maintain service efficiency and effectiveness metrics
 </li>
 <li>
 Develop and manage a structured hierarchy of KPIs across platforms
 </li>
 <li>
 Ensure alignment of metrics with SLAs and OLAs
 </li>
 </ul>
 
 
 Operational Performance Management
 
 
 <ul>
 <li>
 Oversee cloud platform capacity reporting and utilisation tracking
 </li>
 <li>
 Own and manage operational review reports, ensuring clarity and consistency
 </li>
 <li>
 Monitor performance trends and identify improvement opportunities
 </li>
 </ul>
 
 
 Stakeholder Management &amp; Communication
 
 
 <ul>
 <li>
 Act as the primary point of contact for performance reporting requests
 </li>
 <li>
 Manage stakeholder expectations and ensure reporting meets business needs
 </li>
 <li>
 Present reports and insights to stakeholders in a clear and structured manner
 </li>
 </ul>
 
 
 Governance &amp; Continuous Improvement
 
 
 <ul>
 <li>
 Formalise reporting structures and ensure consistency across all outputs
 </li>
 <li>
 Ensure data integrity, accuracy, and compliance with reporting standards
 </li>
 <li>
 Support continuous improvement initiatives across service operations
 </li>
 </ul>
 
 
 Qualifications &amp; Experience
 
 
 
 
 Required
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a quantitative or technical field
 </li>
 <li>
 
 3&ndash;5 years of experience
 
 in data analytics or IT operational reporting within an ITIL/ITSM environment
 </li>
 <li>
 Advanced proficiency in
 
 Power BI
 
 and strong experience with
 
 Jira reporting (JQL)
 
 </li>
 <li>
 Strong SQL skills for data extraction and analysis
 </li>
 <li>
 Experience managing service performance metrics aligned to SLAs and OLAs
 </li>
 <li>
 ITIL 4 Foundation certification
 </li>
 </ul>
 
 
 Preferred
 
 
 <ul>
 <li>
 Microsoft Certified: Power BI Data Analyst Associate
 </li>
 <li>
 Experience with cloud platform capacity reporting and operational analytics
 </li>
 <li>
 Experience leading operational review meetings and stakeholder reporting
 </li>
 <li>
 Strong attention to detail and ability to ensure data integrity
 </li>
 </ul>
 
 
 
 
 
 What working at Core42 offers
 
 
 
 With a diverse team of 1,100+ employees from 68 nationalities, we foster an inclusive, innovative and collaborative environment. At Core42, we foster a culture grounded in trust, accountability and high performance. We are united by our values: Grit, where we overcome challenges with resilience and determination, Passion, which drives us to pursue excellence in everything we do, and Impact, as we aim to inspire progress and create meaningful change. Our team members thrive in an environment where each person&rsquo;s contributions propel us forward, and together, we commit to achieving extraordinary results.
 
 <ul>
 <li>
 Competitive Salary: We offer an attractive salary package based on your skills and experience
 </li>
 <li>
 Yearly Bonus: In recognition of your contributions, you will receive a performance-based annual bonus
 </li>
 <li>
 Exclusive Discount Cards: Access special benefits with Esaad and Fazaa cards, offering discounts across a wide range of services
 </li>
 <li>
 Premium Family Insurance: We provide comprehensive health coverage, including dental, vision and life insurance, ensuring the well-being of you and your family
 </li>
 <li>
 Learning &amp; Development: We offer access to top-tier learning platforms to help you grow in your career. Learn at your own pace with unlimited access to premium courses
 </li>
 </ul>
 
 
</div>

Data Analytics and Reporting Engineer

<div>
 We are currently seeking a skilled Data Modeler to join our team and support our data modelling and architecture efforts. If you have experience with tools such as Erwin, ER Studio, or similar data modelling tools, we'd love to hear from you!
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop conceptual, logical, and physical data models
 </li>
 <li>
 Collaborate with cross-functional teams to gather and understand data requirements
 </li>
 <li>
 Optimize data models for performance and scalability
 </li>
 <li>
 Ensure data integrity and quality throughout the data modelling process
 </li>
 <li>
 Provide guidance and support on data modelling best practices
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience working with data modelling tools such as Erwin, ER Studio, or equivalent
 </li>
 <li>
 Strong understanding of data modelling concepts and methodologies
 </li>
 <li>
 Excellent problem-solving and analytical skills
 </li>
 <li>
 Ability to work effectively in a fast-paced environment
 </li>
 <li>
 Good communication and interpersonal skills
 </li>
 </ul>
</div>

Data Modeler- Data Modelling & Architecture

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