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assistant manager, analytics Jobs in Dubai

assistant manager, analytics

data analytics lead

Proservartner

Role: Data Benchmarking &amp; Analytics LeadLocation: Dubai / Hybrid (with flexibility based on client requirements)Day Rate: USD 600&ndash;700Contract: Project-based, expected Nov/Dec startProservartner is a global consulting firm specialising in business transformation, shared services, outsourcing, and digital enablement. We partner with leading organisations to design and deliver practical, high-impact solutions across industries.Our approach is hands-on and collaborative: we combine strategic expertise with operational know-how to ensure clients see tangible results. With deep capability in finance, HR, supply chain, and customer experience transformation, we are trusted advisors to multinational firms across EMEA, Asia, and beyond.About the ProjectWe are supporting a major client engagement in Dubai, delivering a multi-country Compensation &amp; Rewards Benchmarking project across the media and investment sectors.The project covers:<ul><li>Market benchmarking and data analytics across GCC and global comparators</li><li>Compensation survey design, normalisation, and analysis</li><li>Sector-specific insights into reward structures and allowances</li><li>Change &amp; implementation support for new total rewards frameworks</li></ul>This is a high-profile engagement requiring experienced contractors to deliver alongside Proservartner&rsquo;s leadership team.Role Overview &ndash; Data Benchmarking &amp; Analytics LeadThe Data Benchmarking &amp; Analytics Lead will manage survey data, job architecture, and analytics across the multi-country compensation benchmarking project. You will ensure that data is normalized, insightful, and presented in a client-ready format.Key Responsibilities<ul><li>Manage compensation survey data collection, cleaning, and normalization</li><li>Develop job architecture frameworks and maintain accurate mapping</li><li>Build advanced Excel models, dashboards, and visualizations</li><li>Triangulate multiple data sources to generate actionable insights</li><li>Collaborate with SMEs and senior consultants to produce client-ready deliverables</li></ul>Candidate Requirements<ul><li>8&ndash;10 years&rsquo; experience in compensation analytics, benchmarking, or HR data analysis</li><li>Strong Excel modeling, data visualization, and survey analytics skills</li><li>Experience in job architecture and market survey analysis</li><li>Ability to interpret complex datasets and present insights clearly</li><li>Excellent stakeholder communication and reporting skills</li></ul>Job Type: Full-timePay: AED800.00 - AED1,000.00 per day

Data Benchmarking & Analytics Lead

Shamal Holding

<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>

Senior Manager - Data & Analytics

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>

Property Finder Group

Role Summary: Within the Strategy &amp; Analytics team, Property Finder is looking for a strong Lead, Marketing Analytics who will be responsible for partnering with the Marketing team to develop best-in-class tools, measurement frameworks, and insights that enable campaign effectiveness, customer growth, and improved return on marketing investments
Key Responsibilities:
Lead the end-to-end delivery of high-impact strategic marketing initiatives, in close partnership with the relevant VP (e.g., VP of Marketing, VP of Growth), involving executive and senior stakeholders across the organization.
Oversee the full project management lifecycle of marketing analytics initiatives ensuring timelines, scope, and deliverables are met while maintaining analytical rigor and clarity of insights.
Partner cross-functionally with Product, Data Engineering, and Commercial teams to ensure marketing analytics initiatives are scalable, accurate, and aligned with organizational priorities.
Guide and mentor a team of analysts and managers, fostering a culture of excellence in analytical thinking, marketing measurement, and strategic storytelling.
Design and oversee complex analyses to evaluate campaign performance, customer journeys, and marketing ROI turning insights into actionable recommendations.
Support communication of key insights and strategic findings to the Executive Leadership Team, ensuring marketing performance, opportunities, and priorities are clearly articulated.

Lead, Marketing Analytics

titc

We represent a technology player whose digital banking platform is transforming financial services in emerging markets making a real impact by embedding credit and savings products into the digital channels people use every day. Their datadriven technology powers MNOs fintechs and banks enabling them to scale fast and drive financial inclusion for millions. For those looking to work on cuttingedge financial tech with realworld impact this is the opportunity for you. With rapid growth industry recognition and a team that thrives on innovation this is a chance to shape the future of finance in highgrowth markets across Africa. Job Description: The Data Science and Analytics Lead will enhance their credit risk modelling predictive analytics and operational efficiency. Improve multisource data integration strengthening model governance automating data processes and scaling our infrastructure for faster decisionmaking and market expansion. The Data Science and Analytics Lead will drive datadriven insights refine risk models and build scalable solutions that optimize lending decisions and business growth. Your daily adventures include: Strategic Leadership & Business Impact <ul><li>Drive the development and of the data science strategy to support business growth embedded finance and new market expansion </li><li>Leverage AI and behavioral science insights to enhance credit performance customer engagement and savings adoption. </li><li>Partner with product risk and engineering teams to integrate data science into decisionmaking and operational processes </li></ul> Model Development & AI Governance <ul><li>Build refine and deploy AIpowered credit scoring models ensuring high performance fairness and explainability. </li><li>Lead experimentation and A/B testing initiatives to enhance underwriting portfolio management and product innovation. </li></ul> Data Infrastructure & Scalability <ul><li>Collaborate with Engineering to expand data science capabilities to support multiple markets optimizing for scalability and adaptability </li><li>Ensure data integrity security and compliance across all data science initiatives </li></ul> Team Leadership & Development <ul><li>Drive best practices in model development MLOps and responsible AI </li><li>Promote crossfunctional collaboration to maximize the value of data science across the organization. </li></ul> RequirementsWhat it takes to succeed: <ul><li>Strong background in data science machine learning and AI with experience in credit risk modelling and financial services </li><li>Deep understanding of AI governance model transparency and regulatory compliance in financial services </li><li>Handson experience with MLOps model deployment and automated monitoring solutions </li><li>Strong analytical mindset with a proven ability to drive business impact through data science </li><li>Excellent leadership skills with the ability to mentor and build highperforming teams </li><li>Bachelors degree in a quantitative field such as Statistics Mathematics Physics Computer Science Data Science Engineering Economics Financial Engineering Actuarial Science or a related discipline </li><li>Experience in fintech digital lending or embedded finance is preferred </li><li>Exposure to cloud platforms such as AWS GCP or Azure for data engineering and machine learning is beneficial </li><li>Familiarity with graph analytics network science or behavioral data modelling is beneficial </li><li>Knowledge of causal inference techniques and advanced experimentation methodologies is beneficial </li><li>Prior experience in expanding data science functions into new markets is beneficial </li></ul> <img src="https://www.jobg8.com/Tracking.aspx?xFcAYD4BOV%2fAoWqOyHYax9UQKzUTTAXfw" width="0" height="0" />

Data Science and Analytics Lead

Road and Transport, RTA Dubai

Location: UAE Location: Dubai Industry: Information Technology (IT) Function: Data Science Gender: Any Candidate Nationality: Any Job Type: Full-time What You ll Do * Lead the development of smart, interactive platforms to support business intelligence and decision-making. * Manage RTA s corporate data repository while ensuring compliance with policies and legislation. * Oversee the design and operation of big data platforms, enabling advanced analytics and corporate insights. * Implement a comprehensive data governance roadmap aligned with UAE national policies. * Drive data quality improvement initiatives across platforms with sustainable enhancement mechanisms. * Coordinate with Dubai Digital Authority and external stakeholders to ensure compliance in data exchange. * Provide integrated, secure access to data for enterprise analytics and AI applications. * Supervise the design, development, and maintenance of enterprise data models and databases. Ideal Profile * Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. * At least 11 years of experience in enterprise data management, digital platforms, and infrastructure development. * Proven expertise in data governance, big data analytics, cloud computing, and AI governance frameworks. * Strong background in technical project management and cross-functional leadership. * Exceptional analytical thinking, organizational abilities, and attention to detail.

Senior Team Leader Data and Platform Management

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Lead Product Analytics team across multiple domains within the EA ecosystem, distributed across the globe collaborating with cross-functional teams on multiple subdomains.
 </li>
 <li>
 Develop strategy to leverage data analysis and visualization as a strategic competitive advantage to Careem.
 </li>
 <li>
 Growing and coaching the analysts to be storytellers of data, giving it a voice and a high signal actionable narrative.
 </li>
 <li>
 Collaborate and influence leadership to allow the Product Analytics team&rsquo;s work to directly impact the organization&rsquo;s strategy.
 </li>
 <li>
 Partner with senior business leaders and partners to manage project intake, pipeline, prioritize, and manage staffing against key initiatives.
 </li>
 <li>
 Execute on Product strategy, planning and execution through actionable data insights and data driven concepts.
 </li>
 <li>
 Define, instrument, and maintain new and existing business critical metrics, using SQL queries and beyond.
 </li>
 <li>
 Serve as a strategic thought partner to the data engineering team; collaborate on building / maintaining ETLs, pipelines and automations to ensure we can understand and act on business performance accurately, scalably, with low latency, and minimal manual upkeep.
 </li>
 <li>
 Run experiments and develop dashboards and data visualizations to communicate results to leadership. Provide rigorous technical mentorship to the team.
 </li>
 <li>
 Ensure data quality by monitoring performance, diagnosing issues, and creating solutions.
 </li>
 <li>
 Answer complex business questions via ad-hoc SQL queries to enable business and product owners to make critical decisions.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 Advanced degree in a quantitative discipline (Engineering, Computer Science, Economics, Data Science, Mathematics).
 </li>
 <li>
 10+ years of professional full-time experience in analytics roles, preferably in tech.
 </li>
 <li>
 5+ years of experience directly managing analytical teams.
 </li>
 <li>
 Strong command of SQL, Python and R, and experience working with large datasets.
 </li>
 <li>
 Comfortable working in a fast-paced, cross-functional environment with changing priorities.
 </li>
 <li>
 Experience building intuitive and impactful dashboards and data visualizations that drive business decisions (using Tableau, Power BI, etc.)
 </li>
 <li>
 Project management skills- ability to drive projects end-to-end.
 </li>
 <li>
 Communication and stakeholder management skills - Ability to build consensus by clearly communicating and presenting information.
 </li>
 <li>
 Teamwork - You care about your team and are passionate about helping them succeed, you love going heads down in SQL, but can also take a step back and understand the big picture.
 </li>
 <li>
 Strong experience in setting up, managing, and growing an analytics team.
 </li>
 <li>
 Strong track record in delivering high impact from data through leading multiple cross-functional projects.
 </li>
 <li>
 Track record of shipping new products and iterating on them over time.
 </li>
 <li>
 Track record of attracting and retaining top talent.
 </li>
 <li>
 Experience instilling a culture of ownership, collaboration, and results.
 </li>
 <li>
 Strong leadership and communication skills, critical thinking, and judgement.
 </li>
 </ul>
</div>

Product Analytics Manager

Explore 6214+ Data analytics lead in Dubai this October. Find roles across top companies and apply now to boost your career.

6214 data analytics lead jobs IN Dubai

Data Benchmarking & Analytics Lead

Senior Manager - Data & Analytics

Senior Manager - Data & Analytics

Lead, Marketing Analytics

Data Science and Analytics Lead

Senior Team Leader Data and Platform Management

Product Analytics Manager