business analyst

data analyst

data engineer

senior data analyst

data scientist

data analytics manager

Glow Beauty On Demand

Employment Overview Job Location: Dubai, UAE Industry: Information Technology and Services Function: Program / Project Management Gender: Any Candidate Nationality: Any Job Type: Full-time What You ll Do * Oversee end-to-end delivery of data analytics projects, ensuring timely and high-quality implementation * Define project plans, milestones, and deliverables aligned with business objectives * Work closely with engineers, analysts, and business teams to develop data-driven solutions * Manage integration of data sources and ETL processes using tools such as Informatica or Talend * Ensure robust database management across SQL and NoSQL environments * Implement advanced analytics techniques, including predictive modeling and machine learning * Drive visualization initiatives using platforms like Tableau, Power BI, or Looker * Ensure adherence to data security and compliance regulations, including GDPR and CCPA * Prepare status reports and communicate progress to senior stakeholders Ideal Profile * Proven experience in technical project delivery within data analytics or big data environments * Familiarity with big data tools (Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud) * Knowledge of data lifecycle management, analytics techniques, and visualization tools * Strong leadership and communication skills for managing cross-functional teams * Understanding of ETL processes and integration frameworks * Awareness of data governance and cybersecurity best practices Preferred Certifications * PMP, PRINCE2, or Certified Scrum Master * AWS Certified Data Analytics - Specialty or Microsoft Azure Data Engineer Associate * Google Data Analytics Certification or equivalent * CBAP or PMI-PBA for business analysis expertise

Data Analytics Project Manager

Binance

Responsibilities<ul><li>Event Tracking Design &amp; Implementation: Design and structure event tracking specifications for each product iteration cycle. Ensure accuracy and effectiveness of all feature tracking implementations, preventing data gaps and inconsistencies</li><li>Data Dashboard Development &amp; Maintenance: Collaborate with data teams to build comprehensive feature analytics dashboards and monitoring systems. Continuously update and optimize dashboard logic in alignment with product iterations and evolving requirements</li><li>Data Insights &amp; Reporting: Identify product design pain points through in-depth data mining and analysis. Provide actionable recommendations to support feature optimization and iteration planning with data-driven insights</li><li>Solution Development &amp; Execution: Translate data insights into concrete product solutions. Drive end-to-end execution by tracking development progress, ensuring complete implementation, and taking ownership of post-launch results and outcomes</li></ul>

Data Analytics Product Manager

Shamal Holding

As Shamal Holding continues to grow, we re in search of a Senior Manager Data and Analytics. In this role you will lead the strategic development and management of data-driven initiatives, driving informed decision making and operational efficiency, working with agile squads to collect, analyse, and utilise data to align with business goals, foster innovation, and gain competitive insights.

Responsibilities

<ul>
 <li>Create and implement a comprehensive data and analytics strategy aligned with organizational objectives to drive innovation, informed decision-making, and competitive advantage.</li>
 <li>Establish data governance frameworks and policies to ensure data accuracy, integrity, security, and compliance across the organization's data ecosystem.</li>
 <li>Lead the development of business analytics solutions, including predictive modeling, data visualization, and reporting tools, to provide actionable insights for key stakeholders.</li>
 <li>Collaborate with departments across the organization to identify opportunities for leveraging data to optimize processes, people, enhance customer experiences, and identify growth areas.</li>
 <li>Evaluate and implement cutting-edge data technologies and tools that enable efficient data collection, processing, storage, and analysis to support the organization's strategic goals.</li>
</ul>

 IT Management and Governance:

<ul>
 <li>Helps establish governance structure where decision-making is weighted toward empowered teams.</li>
 <li>Lead and manage the Data Analytics squads and outcomes.</li>
 <li>Prepare and monitor IT capital and operational budgets for assigned portfolio.</li>
 <li>Execute through alignment to the new digital operating model and working with cross functional squads orchestrating continuous value delivery through release planning increments.</li>
 <li>Balance between and keeping pace with technology developments, business strategy, competitive landscape, evolving stakeholder needs, and initiative goals/deadlines.</li>
</ul>

IT Operations: 

<ul>
 <li>Direct the planning, deployment and management of the data analytics initiatives and services.</li>
 <li>Oversee the demand management exercise to collect Digital requirements and ensure they address them in alignment with the overall IT and Data Analytics strategy.</li>
 <li>Ensure the design and implementation of applications and systems align with Shamal Holding IT &amp; Data Analytics strategy and roadmap.</li>
 <li>Ensure the provision of L1, L2, and L3 support for all Data Analytics applications and it s infrastructure.</li>
</ul>

Data Architecture:

<ul>
 <li>Leads development of data architecture, guide technology directions, and set appropriate strategies, policies, standards and practices to govern the Data landscape of the organization.</li>
</ul>

IT Security: 

<ul>
 <li>Supports the setup, maintenance, monitoring, and improvement of the security of systems related to analytics.</li>
 <li>Implement information security standards for the assigned portfolio, policies and procedures across Shamal Holding based on leading industry guidelines and regulatory requirements (e.g. DESC, TDRA, NESA, GDPR).</li>
</ul>

Data Management:

<ul>
 <li>In collaboration with the Data management and protection team of Shamal, ensure Shamal Holding complies with relevant data management regulations and best practices, and lead the development of a centralized customer data management platform for Shamal Holding.</li>
 <li>Ensure Shamal Holding data arising out of platforms, is appropriately managed, maintained, and monitored, and procedures are established to continuously improve data quality and utilization. In addition to developing necessary controls to ensure the data collected is accurate, valid, granular, complete, and consistent.</li>
</ul>

 People Management Responsibilities:

<ul>
 <li>Set clear expectations to the team, inspire, and motivate direct reportees, and lead by example. Provide guidance, coaching, and mentorship to team members to help them achieve their performance goals.</li>
 <li>In collaboration with the People function, identify and address skill gaps, and provide opportunities for learning and development for the Data Analytics employees.</li>
 <li>Direct the employee performance management processes within Data and Analytics in alignment with the People policies and procedures to ensure continuous improvement for the employee s performance.</li>
 <li>Direct the performance evaluation process and validate its results within Data and Analytics in alignment with the People policies &amp; procedures to ensure appropriate and fair evaluation for the employees concerned.</li>
</ul>

Senior Manager - Data & Analytics

Emirates Shipping Line FZE

ESL Group seeks an experienced professional to join our organization as the Manager Operations, Data Analytics. This key role will drive strategy, oversight, and management of our data and analytics initiatives. This is a pivotal role in driving a company-wide transformation, partnering with key stakeholders. The ideal candidate will have a background in the carrier or shipping line industry, with a deep understanding of their unique data and analytics needs.
 
 Responsibilities: 
<ul>
<li>Develop and implement a comprehensive data and analytics strategy aligned with the overall business objectives to drive data literacy and data-driven decision-making across the organization.</li>
<li> Collaborate with cross-functional teams to identify and define key performance indicators (KPIs) and metrics that align with the business goals and support data-driven decision-making.</li>
<li> Ensure data accuracy, integrity, and security throughout the organization by implementing robust data governance and management practices.</li>
<li>Identify opportunities to leverage advanced analytics techniques, such as predictive modelling and AI, to derive insights, improve operational efficiency, and enhance service offerings.</li>
<li>Stay current with industry trends, technologies, and best practices in data and analytics and apply them to drive innovation and continuous improvement.</li>
<li>Develop strong relationships with internal stakeholders, including senior leadership, to understand their requirements, provide analytics solutions, and communicate insights effectively.</li>
<li>Track and report on key performance metrics related to data and analytics initiatives and present findings, trends, and recommendations to the executive team.</li>
</ul>
 
 Requirements: 
<ul>
<li>Tools Smart forecasting partners and ESL s volumes using algorithms based on historical volumes and on the books data.</li>
<li>Deploying AI/optimization Researching, sourcing and implementing new tools that enhance visibility and decision making, prepare data landscape to take ESL s offerings online</li>
<li>Source all options of external data including known sources on volumes (Eg: CTS, RITAS) and price (Xeneta, CCFI,SCFI). Similarly, also look for ways to build a lead indicator of demand and supply using data from eSea, commodity prices, supply data and others like PMI.</li>
<li>Setup data connections and key metrics like booking uptake as well as assist with automation of tasks and reporting</li>
</ul>
 
<ul>
<li>Bachelor s degree in a relevant field, such as Data Science, Computer Science, Statistics, or a related discipline. A master s degree or higher is preferred a minimum of 8 years of progressive experience in data and analytics.</li>
<li>A background in the carrier or maritime industry, with an understanding of its challenges is preferred but not mandatory.</li>
<li> </li></ul>

Manager, Operations (Data Analytics)

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

<div>
 Shamal Holding is a diversified investment firm that cultivates the extraordinary. Born in Dubai, we curate a unique portfolio of extraordinary investments, experiences and assets to generate meaningful outcomes. The investments we make are strategically chosen and thoughtfully nurtured, mirroring Dubai&rsquo;s ambition, spirit and energy. As a global investor, asset owner and developer we utilise our resources, know-how and connections, to deliver long-term value, wherever we operate.
 
 
 As Shamal Holding continues to grow, we&rsquo;re in search of a
 
 Senior Manager - Data and Analytics
 
 . In this role you will lead the strategic development and management of data-driven initiatives, driving informed decision making and operational efficiency, working with agile squads to collect, analyse, and utilise data to align with business goals, foster innovation, and gain competitive insights.
 
 
 
 Strategic Responsibilities
 
 
 
 <ul>
 <li>
 Create and implement a comprehensive data and analytics strategy aligned with organizational objectives to drive innovation, informed decision-making, and competitive advantage.
 </li>
 <li>
 Establish data governance frameworks and policies to ensure data accuracy, integrity, security, and compliance across the organization's data ecosystem.
 </li>
 <li>
 Lead the development of business analytics solutions, including predictive modeling, data visualization, and reporting tools, to provide actionable insights for key stakeholders.
 </li>
 <li>
 Collaborate with departments across the organization to identify opportunities for leveraging data to optimize processes, people, enhance customer experiences, and identify growth areas.
 </li>
 <li>
 Evaluate and implement cutting-edge data technologies and tools that enable efficient data collection, processing, storage, and analysis to support the organization's strategic goals.
 
 
 
 </li>
 </ul>
 
 IT Management and Governance
 
 
 
 <ul>
 <li>
 Helps establish governance structure where decision-making is weighted toward empowered teams.
 </li>
 <li>
 Lead and manage the Data Analytics squads and outcomes.
 </li>
 <li>
 Prepare and monitor IT capital and operational budgets for assigned portfolio.
 </li>
 <li>
 Execute through alignment to the new digital operating model and working with cross&hyphen;functional squads orchestrating continuous value delivery through release planning increments.
 </li>
 <li>
 Balance between and keeping pace with technology developments, business strategy, competitive landscape, evolving stakeholder needs, and initiative goals/deadlines.
 
 
 
 </li>
 </ul>
 
 IT Operations
 
 
 
 <ul>
 <li>
 Direct the planning, deployment and management of the data analytics initiatives and services.
 </li>
 <li>
 Oversee the demand management exercise to collect Digital requirements and ensure they address them in alignment with the overall IT and Data Analytics strategy.
 </li>
 <li>
 Ensure the design and implementation of applications and systems align with Shamal Holding IT &amp; Data Analytics strategy and roadmap.
 </li>
 <li>
 Ensure the provision of L1, L2, and L3 support for all Data Analytics applications and it&rsquo;s infrastructure.
 
 
 
 </li>
 </ul>
 
 Data Architecture
 
 
 
 <ul>
 <li>
 Leads development of data architecture, guide technology directions, and set appropriate strategies, policies, standards and practices to govern the Data landscape of the organization.
 
 
 
 </li>
 </ul>
 
 IT Security
 
 
 
 <ul>
 <li>
 Supports the setup, maintenance, monitoring, and improvement of the security of systems related to analytics.
 </li>
 <li>
 Implement information security standards for the assigned portfolio, policies and procedures across Shamal Holding based on leading industry guidelines and regulatory requirements (e.g. DESC, TDRA, NESA, GDPR).
 
 
 
 </li>
 </ul>
 
 Data Management
 
 
 
 <ul>
 <li>
 In collaboration with the Data management and protection team of Shamal, ensure Shamal Holding complies with relevant data management regulations and best practices, and lead the development of a centralized customer data management platform for Shamal Holding.
 </li>
 <li>
 Ensure Shamal Holding data arising out of platforms, is appropriately managed, maintained, and monitored, and procedures are established to continuously improve data quality and utilization. In addition to developing necessary controls to ensure the data collected is accurate, valid, granular, complete, and consistent.
 
 
 
 </li>
 </ul>
 
 People Management Responsibilities
 
 
 
 <ul>
 <li>
 Set clear expectations to the team, inspire, and motivate direct reportees, and lead by example. Provide guidance, coaching, and mentorship to team members to help them achieve their performance goals.
 </li>
 <li>
 In collaboration with the People function, identify and address skill gaps, and provide opportunities for learning and development for the Data Analytics employees.
 </li>
 <li>
 Direct the employee performance management processes within Data and Analytics in alignment with the People policies and procedures to ensure continuous improvement for the employee&rsquo;s performance.
 </li>
 <li>
 Direct the performance evaluation process and validate its results within Data and Analytics in alignment with the People policies &amp; procedures to ensure appropriate and fair evaluation for the employees concerned.
 </li>
 <li>
 Bachelor's or Master's degree in a relevant field such as Computer Science, Information Technology, Digital Transformation, or a related field.
 </li>
 <li>
 MBA or related advanced business degrees, are preferable
 </li>
 <li>
 A minimum of 10 years of relevant experience with at least 3 years in a managerial or supervisory role.
 </li>
 <li>
 Experience as a Data Analytics Lead or equivalent position in a global environment.
 </li>
 <li>
 Experience to set and communicate a clear vision, aligning data initiatives with business goals.
 </li>
 <li>
 Proficiency in developing comprehensive data strategies to drive decision-making and innovation.
 </li>
 <li>
 Familiarity with data technologies, tools, and platforms for efficient data collection, storage, and analysis.
 </li>
 <li>
 Skill in working with diverse teams and departments to leverage data for organizational improvement.
 </li>
 <li>
 Effective communication of complex insights to non-technical stakeholders.
 </li>
 <li>
 Experience in building and leading high-performing data teams.
 </li>
 <li>
 Understanding of industry trends, competitive landscapes, and business drivers.
 </li>
 <li>
 Ability to identify challenges and design data-driven solutions to address them.
 </li>
 <li>
 Extensive experience in scrum/project management/delivery management or an associated area.
 </li>
 <li>
 An entrepreneurial mindset; able and interested to pursue new business channels and models.
 
 
 
 </li>
 </ul>
 
 For more information about Shamal, please visit our LinkedIn page
 
 https//www.linkedin.com/company/shamalholding/
 
 
 
 Note
 
 
 
 Due to a high influx of profiles, only shortlisted candidates will be contacted.
</div>

Shamal LLC

<div>Overview:

Shamal Holding is a diversified investment firm that cultivates the extraordinary. Born in Dubai, we curate a unique portfolio of extraordinary investments, experiences and assets to generate meaningful outcomes. The investments we make are strategically chosen and thoughtfully nurtured, mirroring Dubai&rsquo;s ambition, spirit and energy. As a global investor, asset owner and developer we utilise our resources, know-how and connections, to deliver long-term value, wherever we operate. 
As Shamal Holding continues to grow, we&rsquo;re in search of a Senior Manager &ndash; Data and Analytics. In this role you will lead the strategic development and management of data-driven initiatives, driving informed decision making and operational efficiency, working with agile squads to collect, analyse, and utilise data to align with business goals, foster innovation, and gain competitive insights.
Responsibilities:

Strategic Responsibilities:<ul><li>
Create and implement a comprehensive data and analytics strategy aligned with organizational objectives to drive innovation, informed decision-making, and competitive advantage.</li><li>
Establish data governance frameworks and policies to ensure data accuracy, integrity, security, and compliance across the organization's data ecosystem.</li><li>
Lead the development of business analytics solutions, including predictive modeling, data visualization, and reporting tools, to provide actionable insights for key stakeholders.</li><li>
Collaborate with departments across the organization to identify opportunities for leveraging data to optimize processes, people, enhance customer experiences, and identify growth areas.</li><li>
Evaluate and implement cutting-edge data technologies and tools that enable efficient data collection, processing, storage, and analysis to support the organization's strategic goals.</li></ul>
 IT Management and Governance:<ul><li>
Helps establish governance structure where decision-making is weighted toward empowered teams.</li><li>
Lead and manage the Data Analytics squads and outcomes.
</li><li>Prepare and monitor IT capital and operational budgets for assigned portfolio.
</li><li>Execute through alignment to the new digital operating model and working with cross&#8208;functional squads orchestrating continuous value delivery through release planning increments.</li><li>
Balance between and keeping pace with technology developments, business strategy, competitive landscape, evolving stakeholder needs, and initiative goals/deadlines.</li></ul>
IT Operations:
<ul><li>Direct the planning, deployment and management of the data analytics initiatives and services.
</li><li>Oversee the demand management exercise to collect Digital requirements and ensure they address them in alignment with the overall IT and Data Analytics strategy.</li><li>
Ensure the design and implementation of applications and systems align with Shamal Holding IT &amp; Data Analytics strategy and roadmap.</li><li>
Ensure the provision of L1, L2, and L3 support for all Data Analytics applications and it&rsquo;s infrastructure.</li></ul>
Data Architecture:<ul><li>
Leads development of data architecture, guide technology directions, and set appropriate strategies, policies, standards and practices to govern the Data landscape of the organization.</li></ul>
IT Security:
<ul><li>Supports the setup, maintenance, monitoring, and improvement of the security of systems related to analytics.</li><li>
Implement information security standards for the assigned portfolio, policies and procedures across Shamal Holding based on leading industry guidelines and regulatory requirements (e.g. DESC, TDRA, NESA, GDPR).</li></ul>
Data Management:<ul><li>
In collaboration with the Data management and protection team of Shamal, ensure Shamal Holding complies with relevant data management regulations and best practices, and lead the development of a centralized customer data management platform for Shamal Holding.</li><li>
Ensure Shamal Holding data arising out of platforms, is appropriately managed, maintained, and monitored, and procedures are established to continuously improve data quality and utilization. In addition to developing necessary controls to ensure the data collected is accurate, valid, granular, complete, and consistent.</li></ul>
 People Management Responsibilities:<ul><li>
Set clear expectations to the team, inspire, and motivate direct reportees, and lead by example. Provide guidance, coaching, and mentorship to team members to help them achieve their performance goals.</li><li>
In collaboration with the People function, identify and address skill gaps, and provide opportunities for learning and development for the Data Analytics employees.</li><li>
Direct the employee performance management processes within Data and Analytics in alignment with the People policies and procedures to ensure continuous improvement for the employee&rsquo;s performance.</li><li>
Direct the performance evaluation process and validate its results within Data and Analytics in alignment with the People policies &amp; procedures to ensure appropriate and fair evaluation for the employees concerned.</li></ul>
Qualifications:
<ul><li>Bachelor's or Master's degree in a relevant field such as Computer Science, Information Technology, Digital Transformation, or a related field.</li><li>
MBA or related advanced business degrees, are preferable</li><li>
A minimum of 10 years of relevant experience with at least 3 years in a managerial or supervisory role.</li><li>
Experience as a Data Analytics Lead or equivalent position in a global environment.</li><li>
Experience to set and communicate a clear vision, aligning data initiatives with business goals.</li><li>
Proficiency in developing comprehensive data strategies to drive decision-making and innovation.</li><li>
Familiarity with data technologies, tools, and platforms for efficient data collection, storage, and analysis.</li><li>
Skill in working with diverse teams and departments to leverage data for organizational improvement.</li><li>
Effective communication of complex insights to non-technical stakeholders.</li><li>
Experience in building and leading high-performing data teams.</li><li>
Understanding of industry trends, competitive landscapes, and business drivers.</li><li>
Ability to identify challenges and design data-driven solutions to address them.</li><li>
Extensive experience in scrum/project management/delivery management or an associated area.</li><li>
An entrepreneurial mindset; able and interested to pursue new business channels and models.</li></ul><div></div> 
For more information about Shamal, please visit our LinkedIn page: https://www.linkedin.com/company/shamalholding/ 
Note:
<div>Due to a high influx of profiles, only shortlisted candidates will be contacted.</div></div>

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