digital marketing specialist Jobs in Dubai

digital marketing specialist

data analyst

data engineer

data scientist

senior data analyst

data science specialist

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>At Emirates Group, we connect the world through our global hub in Dubai, ensuring our customers always &lsquo;Fly Better.&rsquo; As one of the most recognised and admired brands globally, we&rsquo;re driven by innovation and excellence. Join us as a Data Analytics Specialist and play a key role in driving financial strategy and decision-making for a global business. Experience a fast-paced, multicultural environment where your financial expertise will be central to shaping the future of aviation while making a meaningful impact on a global stage. 
As a Data Analytics Specialist in Finance , you will serve as the key link between Finance and the Enterprise Data Analytics (EDA) team, translating business requirements into impactful data solutions. You will design and deliver analytics products that enable data-driven decision-making through advanced visualisations, dashboards, and AI/ML-enabled insights. The role involves managing the Finance data roadmap, collaborating closely with IT, EDA, and other internal stakeholders to ensure timely delivery of data initiatives. You will also support major Finance projects and programmes by leveraging data from the Enterprise Data Platform to drive strategic and operational outcomes.
In this role, you will:
<ul><li>Facilitate and support business requirements reviews for analytics initiatives, working closely with relevant teams to identify data sources, data capture needs, and business logic alignment.
</li><li>Project manage the development and delivery of the department&rsquo;s data roadmap by collaborating across internal teams and stakeholders such as IT and Enterprise Data &amp; Analytics (EDA).
</li><li>Oversee data modelling activities to ensure delivery of high-quality, reliable, and business-relevant data products that enable real-time decision-making.
</li><li>Conduct / oversee user acceptance testing (UAT) on EDA data captures, resolve data quality issues with EDA engineers, and confirm deployment readiness.
</li><li>Manage modelled data within the Enterprise Data Warehouse (Snowflake), including creation of custom data views and user role administration.
</li><li>Design and implement analytics solutions, delivering actionable insights through compelling visualisations using appropriate analytical tools such as Microsoft Power BI.
</li><li>Work alongside the Data Science team to implement AI and machine learning enabled analytics.
</li><li>Support major projects and programmes in Finance by providing relevant data from the Enterprise Data Platform.
</li><li>Champion data adoption and democratisation within Finance, supporting upskilling initiatives and conducting workshops or training sessions as required.
</li><li>Act as a data steward for governance and quality compliance, ensuring adherence to enterprise data standards.
</li><li>Develop hands-on expertise in data engineering tools and languages (e.g., Dataiku, Python) and data platforms (e.g., Snowflake) to support analysts in ad-hoc data capture and enrichment activities.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be successful in this role, you must meet the below requirements:
<ul><li>Degree in a relevant field, such as Business Administration, Operational Research, Industrial Engineering, Information Technology etc.
</li><li>A minimum of 5 years of experience in IT and experience in Administration, General administration, Data Analytics, Reporting and Dashboard Implementation.
</li><li>Experience within a similar business area where there has been a strong focus on data analytics with 2 years in a supervisory role.
</li><li>Business Intelligence Knowledge and deep understanding of Power BI Platform and good knowledge on MicroStrategy tool.
</li><li>Good understanding on Data Science, Machine Learning and AI.
</li><li>Good understanding of Snowflake and SQL based data integration
</li>Good understanding of Microsoft suite of data collaboration and process tools like Power Apps, Sharepoint. 
<li>
</li></ul> 
You'll have an edge if you have:
<ul><li>Experience with the implementation of initiatives that are transformational in nature.
</li><li>Good understanding on Data Governance and its documentation.
</li><li>Ability to understand different user groups needs and translate those into workable solutions suitable for all user groups.
</li><li>Experience of working in a multi-cultural expatriate environment.
</li><li>Project Management experience.
</li><li>Experience in Data Analytics in a Finance data domain.
</li></ul>At Emirates Group, we&rsquo;re committed to providing our employees with opportunities to grow and develop in their careers. So if you&rsquo;re looking for a challenging and rewarding opportunity, apply today and join our team.
<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. You can find more information about our employee benefits in the Working Here section of our website www.emirates.com/careers. Further information on what it&rsquo;s like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.</div>

Data Analytics Specialist

Kintlogix LLC

Requirements <ul> <li> Bachelor's or Master s degree in Data Science, Computer Science, Statistics, or related field </li> <li> 2+ years of experience in a data science or analytical role (Logistics experience is a plus) </li> <li> Strong knowledge of Python, R, SQL, and data visualisation tools (e.g., Tableau, Power BI) </li> <li> Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow) </li> <li> Excellent problem-solving and communication skills </li> <li> Ability to work independently and collaboratively in a fast-paced environment </li> </ul> <div> </div> Benefits <ul> <li> A chance to work with a forward-thinking logistics company reshaping supply chain solutions </li> <li> A collaborative and innovation-driven work culture </li> <li> Competitive salary and benefits </li> <li> Professional development opportunities </li> <li> Modern office in the heart of Dubai, UAE</li></ul>

Data Scientist

DICETEK LLC

<div>Role Summary: The Data Scientist will be responsible for collecting, analyzing, and interpreting large datasets to generate actionable insights, and support data-driven decision-making.
Key Responsibilities:<ul><li>Data Collection &amp; Processing</li></ul>
o Extract, clean, and preprocess structured and unstructured data from multiple sources.
o Ensure data integrity, quality, and governance.
<ul><li>Analytics</li></ul>
o Apply statistical methods to solve business problems.
o Develop algorithms to optimize business processes (e.g., customer record segmentation, duplicate detection, recommendation for efficiency optimisation).
<ul><li>Visualization &amp; Reporting</li></ul>
o Build dashboards and visualizations to communicate findings to stakeholders.
o Translate complex results into actionable insights for non-technical audiences.<ul><li> 
Collaboration</li></ul>
o Work closely with project implementation teams to understand requirements and deliver data solutions.
o Collaborate with data engineers to expedite data driven conclusions and opportunity areas.
Required Skills &amp; Qualifications<ul><li>Education: Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Statistics, Mathematics, Data Science, or related field.</li></ul> 
Technical Skills:
o Proficiency in Python/R, SQL, and data visualization tools (Tableau, Power BI, matplotlib).
o Strong knowledge of statistics, probability, and hypothesis testing.
o Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch). 
Business Skills:
o Ability to translate data insights into business recommendations.
o Strong problem-solving and critical-thinking skills.
Preferred Qualifications<ul><li>Experience with big data technologies (Spark, Hadoop).</li><li>Familiarity with cloud platforms (AWS, Azure, GCP).</li><li>Publications or project work demonstrating data science applications.</li></ul>
Key Performance Indicators (KPIs)<ul><li>Accuracy and robustness of conclusions basis data study.</li><li>Business value generated through data insights.</li><li>Timeliness and quality of reports and dashboards.</li><li>Stakeholder satisfaction and adoption of data-driven solutions.</li></ul></div>

Dataiku

The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
In this role, you'll help the team:
<ul>
<li>
Co-develop production-level data science projects with our customers
</li>
<li>
Analyse and investigate various kinds of data and machine learning applications across industries and use cases
</li>
<li>
Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
</li>
<li>
Provide data science expertise both to customers and internally to Dataiku s sales and marketing teams
</li>
<li>
Develop custom Python-based plugins in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku s functionality
</li>
</ul>
Technical skills that may help you in the role:
<ul>
<li>
Experience with Consulting and/or Customer-facing Data Science roles
</li>
<li>
Experience with Data Engineering or MLOps
</li>
<li>
Experience developing WebApps in JavaScript, RShiny, or Dash
</li>
<li>
Experience building APIs
</li>
<li>
Experience using enterprise data science tools
</li>
<li>
Passion for teaching or public speaking
</li>
</ul>

Senior Data Scientist

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region. 
 
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily. 
 
At talabat, we foster an innovative environment where our talabaty employees can strive to create a positive impact across the region through the use of our platform. 
Job Description 
Role Summary
As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users. 
As a data scientist on the analysis track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain including logging, data modeling, analysis, reporting, and experimentation.
What&rsquo;s On Your Plate?<ul><li>
Leveraging ambiguous business problems as opportunities to drive objective criteria using data.</li><li>
Developing a deep understanding of the product experiences and business processes that make up your area of focus.</li><li>
Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.</li><li>
Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.</li><li>
Working closely with product and business teams to identify important questions that can be answered effectively with data.</li><li>
Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision making through deep analysis and automated reports.</li><li>
Designing, planning and analyzing experiments (A/B and multivariate tests).</li><li>
Supporting product and business managers with KPI design and goal setting.</li><li>
Mentoring other data scientists in their growth journeys.</li><li>
Contributing to improving our ways of work, our tooling, and our internal training programs.</li></ul>
What Did We Order? 
Technical Experience<ul><li>
Excellent SQL.</li><li>
Competence with reproducible data analysis using Python or R.</li><li>
Familiarity with data modeling and dimensional design.</li><li>
Strong command over the entire data analysis lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.</li><li>
Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.</li><li>
Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.</li><li>
Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).</li><li>
Familiarity with BigQuery and the Google Cloud Platform is a plus.</li><li>
Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.</li><li>
Experience with classical ML frameworks (e.g. Scikit-learn, XGBoost, LightGBM, ...) is a plus.</li></ul> 

Qualifications 
<ul><li>
Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</li><li>
3+ years of overall experience working in data science and machine learning.</li><li>
Experience doing data science in an online consumer product setting is a plus.</li><li>
A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.</li><li>
An excellent collaborator.</li><li>
An excellent communicator.</li><li>
A strong sense of ownership and accountability.</li><li>
A &lsquo;keep it simple&rsquo; approach to #makeithappen.</li></ul></div>

Product Data Scientist II (Based in Dubai, UAE)

Road and Transport, RTA Dubai

Job Title Transportation Data Analytics Specialist - Roads and Transport Authority Job Description Transportation Data Analytics Specialist - Roads and Transport Authority Employment Overview Job Location: Dubai, UAE Industry: Transportation/Trucking/Railroad Function: Road and Transport Engineering Gender: Any Candidate Nationality: Any Job Type: Full-time Position Overview The Roads and Transport Authority (RTA) is looking for a Transportation Data Analytics Specialist to join its Enterprise Command and Control Department. This role focuses on transportation data analytics, modeling, and predictive techniques to improve journey planning and enhance operational efficiency across multi-modal transportation systems in Dubai. What You ll Do * Collaborate with data engineers and analysts to classify and integrate transportation data from multiple sources, creating comprehensive datasets for analysis. * Incorporate various transportation modes into real-time models to enhance intermodal connectivity and optimize solutions. * Execute transportation modeling tasks, including model calibration, validation, forecasting, and scenario analysis. * Conduct sensitivity and uncertainty analyses to ensure model accuracy and reliability. * Develop and test real-time transportation models, ensuring alignment with real-world data. * Generate analytical reports and dashboards using KPIs such as travel time, delays, and average speeds to support decision-making. * Apply statistical, spatial, and machine learning techniques to extract insights and patterns in transportation systems. * Design and develop innovative use cases to solve complex transportation challenges and improve operational efficiency. * Support policy review and contribute to the development of technical documents in alignment with RTA standards. * Conduct workshops and training sessions to support knowledge sharing and skill development within the organization. Ideal Profile * Bachelor s degree in Transportation Engineering, Civil Engineering, Traffic Engineering, or Transportation Planning. * Minimum 5 years of experience in transportation analytics, including transportation modeling and machine learning applications. * Proficiency in data science tools, machine learning algorithms, data visualization platforms, SQL/NoSQL databases, and big data tools. * Knowledge of spatial data analysis using GIS or QGIS. * Strong analytical and problem-solving skills, with the ability to manage complex datasets. * Excellent communication skills and ability to work in a multidisciplinary team. * Master s degree in Computer Science, Applied Mathematics, or Data Science is a plus.

Transportation Data Analytics Specialist

Boston Business Solutions

Job Description: Looking for an experienced Oracle Fusion Functional Specialist with strong expertise in Finance (AR, AP, GL, Assets, Cash Management) and SCM (Procurement, Sourcing, Inventory) modules. Responsibilities include providing functional support, handling issue resolution, requirement gathering, documentation, testing, and end-user training. Candidate must have hands-on experience in Oracle Fusion Cloud (SaaS) and at least one end-to-end implementation. Requirements: <ul> <li>5+ years of Oracle Financials &amp; SCM functional experience </li> <li>2+ years in Oracle Fusion Cloud </li> <li>Knowledge of data migration &amp; integration preferred </li> <li>Bachelors in Accounting / Computer Science </li> <li>Oracle Certification is an added advantage</li> </ul> <div>Role: IT Consulting - Other</div><div>Industry Type: IT Services &amp; Consulting</div><div>Department: Consulting</div><div>Employment Type: Full Time, Permanent</div><div>Role Category: IT Consulting</div><div>Education</div><div>UG: Any Graduate</div>

Oracle Fusion Functional Specialist

Explore 4354+ Data science specialist in Dubai this October. Find roles across top companies and apply now to boost your career.

4354 data science specialist jobs IN Dubai

Data Analytics Specialist

Data Scientist

Data Scientist

Senior Data Scientist

Product Data Scientist II (Based in Dubai, UAE)

Transportation Data Analytics Specialist

Oracle Fusion Functional Specialist