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data scientist ii - analysis, qc Jobs in Dubai

data scientist ii - analysis, qc

senior data analyst

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5><div>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
</div>As a Senior Data Analyst , you will be fully-participating member of a cross-functional team working autonomously on technology development and problem resolution in the Enterprise Data &amp; Analytics space. The role involves the analysis aspects of sourcing and transforming data to ensure it delivers on the insights required by Emirates Airlines and Emirates Group business stakeholders. 
 
In this role you will:
<ul><li>Understands business domains well (e.g. airline, passenger, pilot &amp; crew, aircrafts, HR, Finance). Work with product owners and business users to understand operational source system data and business transformation / data cleansing rules required to ensure that analytical solutions generate the insights required by the business. Operate with a data-driven mindset, helping the business generate those insights based on data.
</li><li>Assist in the collection of data dictionaries and creation of business glossaries. Maintain core data repositories as data sources and interfaces change over time.
</li><li>Understand and maintain data models and data interfaces for the analytical environment to understand availability of data for the required business reports.
</li><li>Conduct simple data gap analysis and data profiling to analyse availability and quality of incoming data and advise on any data cleansing rules, or issue resolution options in case of incidents (including analysis of potential data quality issues). Incorporate business transformation rules into solution designs or mapping documents to ensure solutions provide timely business value.
</li><li>Document proposed or modified data interfaces, including fit for data models, data flow timing, source-to-target mapping, uniqueness criteria and data transformation rules including data validations and controls.
</li><li>Provide feedback on logical and physical data models to ensure they effectively meet the analytical requirements and expectations.
</li><li>Collaborate with the quality engineers to identify areas which need to be validated and ensure data exposed to business stakeholders satisfies their analytical needs.
</li>Keep current on evolving Emirates Airlines and Emirates Group data and analytics business knowledge domains to accurately assess the quality of the data and ensure business glossaries remain up-to-date. 
<li>
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for the role, you must meet the below requirements:
<div><ul><li>Degree or Honours (12+3 or equivalent)
</li><li>Experience in Information Technology
</li><li>Degree in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering. Specialization or electives in a Data &amp; Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have
</li><li>3+ yrs in Data Analysis experience (Fewer years&rsquo; experience will be considered for Masters degree holders)
</li><li>Minimum 3+ years conducting data analysis tasks (e.g. source system identification, data dictionary / metadata collection, data profiling, source-to-target mapping)
</li><li>Proven track record developing and maintaining data documentation artefacts in organizations of similar size and complexity within project deadlines
</li><li>Deep expertise on business transformation rules and understanding of data solution designs
</li><li>Experience writing SQL queries to analyse data and provide results to business users or project team members
</li><li>Experience with building information designs for data-centric projects on one or more of the following (preferably within a airlines industry): Data Warehouses, Big Data Environment for Analytics, Data API, Business Intelligence Solutions
</li>Airline industry experience preferred (or expertise in a supporting function such as HR or Finance); needs to understand the business domains well to conduct data modelling and analysis activities 
<li>
</li></ul></div>Knowledge/Skills:
<div><ul><li>Good communication skills; able to clearly communicate rationale and approaches to peers and some business stakeholders
</li><li>Operates with a &ldquo;You Code It, You Own It&rdquo; mindset (i.e. supports the products they build)
</li><li>Demonstrated problem-solver; able to design and document solutions independently
</li><li>Strong work ethic, being results-oriented, and accuracy / attention to detail are critical
</li><li>Demonstrated initiative, able to work both independently and as a team member
</li><li>Team player; able to collaborate with others to remove blockers, solve complex data problems and debug/resolve issues
</li><li>Able to deliver solutions (and associated value) iteratively
</li>Is accountable and displays positive attitude 
<li>
</li></ul></div>Technology Domain Key Technologies/Tools:
Big Data &amp; Distributed Processing :Querying HDFS or ADLS file storage systems, with tools such as Hive or H-Base, ElasticSearch, Experience with AVRO / PARQUET file formats nice-to-have
Data Analysis, Modelling and Reporting :SQL, Snowflake, Data Vault 2.0, MicroStrategy, Power BI 
 
Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world.</div>

Senior Data Analyst

DICETEK LLC

<div><h1 class="jobSectionHeader">Role Purpose</h1>
The Senior Data Scientist will lead the development, optimization, and deployment of advanced card fraud detection models for issuing and acquiring businesses. This role involves end-to-end model lifecycle management, including training, hosting, evaluation, and deployment using SAS SFD and modern MLOps practices. The candidate will work closely with fraud risk, data engineering, and technology teams to ensure robust, scalable, and high-performing solutions.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>Card Fraud Model Development &amp; Optimization: Design, develop, and optimize card fraud detection models for issuing and acquiring portfolios. Implement advanced statistical, machine learning, and AI techniques to improve fraud detection accuracy and precision and minimizing false positives.</li><li>Model Hosting &amp; Deployment: Deploy models using SAS SFD and integrate with production systems. Ensure seamless hosting and scalability of models across multiple environments.</li><li>MLOps &amp; Automation: Establish and maintain MLOps pipelines for continuous integration, deployment, and monitoring of fraud models. Automate model retraining and performance tracking processes.</li><li>Evaluation &amp; Testing: Conduct rigorous model validation, stress testing, and performance benchmarking. Collaborate with fraud operations teams to ensure models meet business and regulatory requirements.</li><li>Collaboration &amp; Stakeholder Management: Partner with fraud risk, data engineers, IT and business teams to deliver end-to-end solutions. Communicate insights and recommendations to senior management and business stakeholders.</li></ul><h1 class="jobSectionHeader"> 
Required Skills &amp; Qualifications</h1><ul><li>Education: Master&rsquo;s or Ph.D. in Data Science, Statistics, Computer Science, or related field.</li><li>Technical Skills: Strong proficiency in SAS (including SAS SFD), Python, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines). Deep understanding of card fraud detection techniques and transaction data.</li><li>Experience: 7+ years in data science roles, with at least 3 years in card fraud modeling. Proven track record of deploying models in production environments.</li><li>Soft Skills: Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities.</li></ul><h1 class="jobSectionHeader"> 
Preferred Qualifications</h1><ul><li>Experience in banking or payments industry.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) for model hosting and deployment.</li><li>Knowledge of regulatory compliance in fraud risk management.</li></ul></div>

Senior Fraud Data Scientist

Daman Investments

<div>
 
 
 JOB OVERVIEW
 
 
 
 
 The Junior HR Data Analyst supports the Head of HR and the wider HR team by collecting, organizing, and analyzing people data across the Group's entities and businesses.. The role focuses on producing accurate, timely, and insightful reporting on headcount, workforce composition, attrition, performance, and compensation, and contributes to the development of dashboards and analyses that inform workforce planning, organizational design, talent decisions, and executive and board-level people reporting.
 
 
 
 
 
 
 
 
 
 
 KEY DUTIES &amp; RESPONSIBILITIE
 
 
 S
 
 
 
 
 
 
 
 
 Data Management &amp; Qualit
 
 
 
 y
 
 <ul>
 <li>
 Extract, consolidate, and maintain people data from the Group's HRIS and other source systems, ensuring data integrity, consistency, and confidentiality.
 </li>
 <li>
 Monitor and improve the quality of HR data, identifying gaps, duplicates, and inconsistencies, and coordinating with HR business partners to resolve them.
 </li>
 <li>
 Maintain organized data repositories and naming conventions to support efficient retrieval and analysis.
 </li>
 <li>
 Support the implementation and ongoing maintenance of HR data structures, taxonomies, and master data (e.g. job codes, grades, cost centers).
 </li>
 </ul>
 
 
 
 
 
 
 
 Reporting &amp; Dashboards
 
 
 
 
 <ul>
 <li>
 Prepare monthly, quarterly, and ad-hoc HR reports covering headcount, joiners and leavers, attrition, demographics, nationalization, and other key people metrics.
 </li>
 <li>
 Build and maintain HR dashboards using tools such as Microsoft Excel and Power BI to provide self-service visibility for HR business partners and business leaders.
 </li>
 <li>
 Support the production of executive and board-level people reporting packs, ensuring accuracy, clarity, and consistency of figures.
 </li>
 <li>
 Maintain HR scorecards and KPI trackers and highlight variances and trends for management attention.
 </li>
 </ul>
 
 
 
 
 
 
 
 People Analytics
 
 
 
 
 <ul>
 <li>
 Conduct analysis on headcount movements, attrition drivers, span of control, organizational structures, and workforce composition across the Group.
 </li>
 <li>
 Support compensation analytics, including pay band analyses, salary benchmarking inputs, bonus distribution, and comp-ratio tracking.
 </li>
 <li>
 Provide data support for performance management cycles, talent reviews, and succession planning analyses
 </li>
 <li>
 Compile and analyze engagement survey results and other people feedback data to identify themes and recommendations.
 </li>
 </ul>
 
 
 
 
 
 
 
 Project &amp; Process Support
 
 
 
 
 <ul>
 <li>
 Provide data analysis and modelling support to HR projects, including organizational design reviews, restructuring, job evaluations, and workforce planning.
 </li>
 <li>
 Support recruitment analytics, including time-to-hire, source effectiveness, and pipeline health metrics.
 </li>
 <li>
 Assist in preparing data inputs for HR policy reviews, audits, and regulatory or statutory reporting requirements.
 </li>
 <li>
 Contribute to the continuous improvement of HR reporting processes, templates, and analytical frameworks.
 </li>
 </ul>
 
 
 
 
 
 
 
 General
 
 
 
 
 <ul>
 <li>
 Handle all employee and people data with the highest level of confidentiality and in line with applicable data protection requirements.
 </li>
 <li>
 Uphold company values throughout business practices and utilizes sound judgment in decision making.
 </li>
 <li>
 Other additional duties may be required by management based on needs of the business.
 </li>
 </ul>
 
 
 
 
 
 POSITION REQUIREMENTS
 
 
 
 
 
 Educational Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Human Resources, Business Administration, Statistics, Economics, Data Analytics, or a related quantitative field from a recognized university.
 </li>
 <li>
 Additional certifications in HR analytics, Power BI, or data visualization are an advantage.
 </li>
 </ul>
 
 
 
 
 
 
 Technical Competencies
 
 
 
 <ul>
 <li>
 Advanced proficiency in Microsoft Excel, including pivot tables, lookups, conditional formatting, and complex formulas.
 </li>
 <li>
 Working knowledge of Power BI or a similar data visualization tool; ability to build clear, well-structured dashboards.
 </li>
 <li>
 Familiarity with HRIS platforms (e.g. SAP SuccessFactors, Oracle HCM, Workday, Bayzat, or similar) and comfort navigating large data exports.
 </li>
 <li>
 Basic understanding of core HR concepts including organization design, grading, compensation, performance management, and workforce planning.
 </li>
 <li>
 Exposure to SQL or scripting (e.g. Python, R) for data manipulation is an advantage but not essential.
 </li>
 </ul>
 
 
 
 
 
 
 Skills &amp; Personal Attributes
 
 
 
 <ul>
 <li>
 High attention to detail and a structured, methodical approach to working with data.
 </li>
 <li>
 Strong analytical and problem-solving mindset, with intellectual curiosity and a willingness to dig into the "why" behind the numbers
 </li>
 <li>
 Clear written and verbal communication skills, with the ability to translate data into simple, decision-ready insights.
 </li>
 <li>
 High level of integrity and discretion in handling confidential employee and compensation information.
 </li>
 <li>
 Proactive, organized, and able to manage multiple data requests and deadlines in parallel.
 </li>
 <li>
 Collaborative team player, comfortable working with HR business partners across multiple business units.
 </li>
 </ul>
 
 
 
 
 
 
 Work E
 
 
 
 xperience
 
 
 <ul>
 <li>
 0&ndash;2 years of relevant experience (fresh graduates are encouraged to apply; internships in HR, analytics, or consulting are an advantage.
 </li>
 <li>
 Any prior exposure to HRIS reporting, dashboard development, or people analytics is a plus.
 </li>
 <li>
 Prior experience working in a multi-entity or holding-group environment is desirable but not mandatory.
 </li>
 </ul>
</div>

Junior HR Data Analyst (Contract)

Yatsudoki Chateraise

JOB PURPOSE This role is responsible for overseeing and managing the financial reporting and accounting functions of an organization. This role ensures the accuracy and integrity of financial data, compliance with accounting standards, and efficient financial operations.JOB RESPONSIBILITIES <ul><li>Financial Planning and Analysis:</li><li>Develop financial forecasts and budgets based on strategic goals and historical data.</li><li>Analyze financial performance, trends, and variances to provide insights and recommendations to senior management.</li><li>Perform feasibility studies from scratch without end-user input</li><li>Financial Reporting:</li><li>Prepare timely and accurate financial statements, including balance sheets, income statements, and cash flow statements.</li><li>Ensure compliance with accounting standards and regulatory requirements.</li><li>Oversee and manage all tax activities, including compliance with UAE tax regulations.</li><li>Risk Management:</li><li>Identify financial risks and develop strategies to mitigate them.</li><li>Implement internal controls and procedures to safeguard assets and ensure the accuracy of financial data.</li><li>Strategic Planning and Decision Support:</li><li>Provide strategic financial advice and support to senior management in decision-making processes.</li><li>Evaluate investment opportunities and capital allocation strategies.</li><li>Relationship Management:</li><li>Build and maintain relationships with external stakeholders, including banks, auditors, and regulatory authorities.</li><li>Collaborate with other departments (such as operations, sales, and marketing) to align financial strategies with overall business objectives.</li><li>Team Leadership and Development:</li><li>Lead and mentor a team of finance professionals, providing guidance and fostering a culture of continuous improvement.</li><li>Ensure staff training and development to enhance capabilities and performance.</li></ul>JOB SPECIFICATIONS Qualifications&middot; Bachelor&rsquo;s degree in Finance, Accounting, Economics, or related field. A Master&rsquo;s degree (MBA, MSc) may be preferred or required for senior positions&middot; Professional certifications such as CPA (Certified Public Accountant), CFA (Chartered Financial Analyst), or CMA (Certified Management Accountant) may be advantageousExperience<ul><li>Requires several years of progressive experience in financial management or accounting roles within the |UAE, with a proven track record of leadership and strategic decision-making.</li></ul>Knowledge &amp; Skills<ul><li>Strong analytical skills, proficiency in financial software and ERP systems, excellent communication and interpersonal skills, and a solid understanding of financial regulations and compliance.</li></ul>Job Types: Full-time, PermanentApplication Question(s):<ul><li>Do you hold any certification ie ACCA/ CA?</li><li>What is your salary expectation?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Finance Manager: 5 years (Preferred)</li></ul>Work Location: In person

Finance Manager

AIQU

<div>
 
 We are hiring
 
 Data Analyst
 
 to join one of our major clients based in
 
 Dubai, UAE.
 
 
 
 
 
 
 Job Location - Dubai, UAE
 
 
 Job Type - 12 months Contract (Extendable)
 
 
 
 
 
 
 About Role
 
 
 
 We are seeking a detail-oriented and analytical Data Analyst with experience in Anti-Money Laundering (AML) to support our AML team.
 
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 3&ndash;8 years of experience as a Data Analyst with AML domains.
 </li>
 <li>
 Strong proficiency in Azure Data Lake- SQL for data extraction, transformation, and analysis.
 </li>
 <li>
 Experience with data visualization and reporting tools such as Power BI.
 </li>
 <li>
 Knowledge of AML, KYC related domains.
 </li>
 <li>
 Bachelor's degree in Data Analytics, Computer Science, Statistics or a related field.
 </li>
 </ul>
 
 
 
 
 
 
</div>

Data Analyst

Udrive

<div>
 
 Udrive
 
 is seeking a detail-oriented and motivated Junior Data Analyst to support cross-functional analytics needs for our business. This role will assist our analytics team in managing operational reporting, automating workflows, conducting exploratory analyses, and ensuring data integrity across platforms.
 
 
 You&rsquo;ll work closely with business teams including Operations, Product, Marketing, and Customer Service to deliver data-driven insights and maintain reporting excellence.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Reporting, Analysis Visualization: Build and maintain recurring reports and dashboards using Tableau Excel, and internal tools.
 </li>
 <li>
 Track key performance indicators (KPIs) across fleet, operations, marketing, and business lines.
 </li>
 <li>
 Assist in visual storytelling and communicating insights to stakeholders in a clear, digestible format.
 </li>
 <li>
 Conduct exploratory and ad-hoc analyses to support initiatives like fleet optimization, customer segmentation, marketing initiatives.
 </li>
 <li>
 Collaborate with marketing, product, engineering to derive actionable insights from raw datasets.
 </li>
 <li>
 Support the automation of recurring data processes using SQL, Python
 </li>
 <li>
 Data Quality Governance: Perform data audits to ensure consistency, accuracy, and completeness. Identify and flag anomalies, track data lineage, and maintain documentation for analytics workflows.
 </li>
 <li>
 Document Data Processes, Dashboards Requests
 </li>
 <li>
 Collaboration Support Partner with stakeholders in Operations, Marketing, Product, and CS to address analytical requests and performance queries.
 </li>
 <li>
 Help train teams in reading dashboards and interpreting KPIs.
 
 
 </li>
 </ul>
 
 Qualifications Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Engineering, or a related field.
 </li>
 <li>
 0&ndash;2 years of experience in a data analyst or business analyst role.
 </li>
 <li>
 Proficiency in SQL and working knowledge of Python (Pandas, NumPy, etc.).
 </li>
 <li>
 Experience with data visualization (Tableau, Power BI, SuperSet) Strong Excel/Google Sheets skills.
 </li>
 <li>
 Comfortable working with large datasets and drawing actionable insights.
 </li>
 <li>
 Detail-oriented, with a problem-solving mindset and a proactive attitude.
 </li>
 <li>
 Preferred Skills Exposure to SuperSet, GA4, NoSQL, CAC, LTV Jira, Confluence
 </li>
 <li>
 Understanding of business metrics in the mobility, logistics, or SaaS industry is a plus.
 </li>
 <li>
 Ability to work in a fast-paced startup environment.
 </li>
 <li>
 Understanding and experience of data pipelines / ETL concepts is preferred.
 </li>
 </ul>
</div>

Junior Data Analyst

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585 senior data analyst jobs In Dubai

Senior Data Analyst

Senior Fraud Data Scientist

Senior Fraud Data Scientist

Junior HR Data Analyst (Contract)

Finance Manager

Data Analyst

Junior Data Analyst