marketing manager

operations manager

account manager

planning manager

senior account manager

analytics manager

dnata

<div>
 
 Job Purpose
 
 
 
 dnata is more than a global air and travel services provider. We connect people with possibilities and opportunities across 130+ airports in 34 countries through ground handling, cargo, travel, and catering &amp; retail services. Our purpose is clear: to deliver on the promises our customers make. We are powered by a bold vision to be the world&rsquo;s most admired air and travel services provider, which guides our strategy, culture, and every role across our teams. Our core values fuel everything we do: we are safe, we play to win, we respect everyone and work together as a team, and we are future thinking. At dnata, we foster diversity, nurture ambition, and celebrate achievement. If you're inspired by purpose and motivated to be part of a global team shaping the future of aviation and travel, we&rsquo;d love to have you onboard.
 
 
 As a
 
 Data Analytics Manage
 
 r, you will drive data and performance enablement across dnata Airport Operations UAE (dAO) by designing frameworks that translate operational, financial, and workforce data into actionable insights. You will champion a data-driven culture through robust governance, clear metrics, and scalable solutions that support smarter, faster decision-making. Leveraging advanced analytics and data science, you will uncover opportunities, influence strategic direction, and enhance operational outcomes. Working closely with enterprise data teams and analytics stakeholders, you will align efforts, maximise capabilities, and ensure accountability across all data assets. You will also lead the development of trusted, integrated data products while strengthening the organisation&rsquo;s analytical maturity by coaching teams, uplifting data literacy, and ensuring a consistent, high-quality service to internal customers. Additionally, you will provide leadership to a team of data practitioners to ensure sustainable analytics adoption across the business.
 
 
 
 In this role, you will
 
 
 
 <ul>
 <li>
 Lead the dAO Data Analytics team comprised 4 key functions &ndash; Data Product, Business Engagement, Governance, and Data science.
 </li>
 <li>
 Document and maintain the dnata data and analytics strategy and operating model, ensuring alignment and effective implementation across dAO.
 </li>
 <li>
 Serve as the data steward for dAO by managing the central glossary, definitions, and standardised KPIs across markets and teams.
 </li>
 <li>
 Manage dependencies across related programs and provide updates for corporate reporting requirements, including strategic data management initiatives.
 </li>
 <li>
 Oversee daily data operations, workflows, and data management employees to ensure effective data integration, BI platform support, and solution implementation.
 </li>
 <li>
 Drive continuous review of data insights to assess operational effectiveness, eliminate inefficiencies, and recommend innovative improvements.
 </li>
 <li>
 Oversee the review, analysis, and reconciliation of data-generated reports, ensuring insights translate into actionable recommendations.
 </li>
 <li>
 Ensure published reports remain accurate, relevant, and supportive of day-of-operation visibility and decision-making.
 </li>
 <li>
 Lead engagement with Enterprise Data &amp; Analytics (ED&amp;A) and business stakeholders to define, prioritise, and enhance data capabilities.
 </li>
 <li>
 Analyse stored data to develop and validate business requirements, identify strategic gaps, and deliver actionable insights aligned with business objectives.
 </li>
 <li>
 Build and advance data management and analytics capabilities, including the development of predictive and forecasting models to support informed decision-making.
 </li>
 <li>
 Identify, scope, and deliver high-value use cases in collaboration with business leaders, including opportunities leveraging AI, machine learning, and automation.
 
 
 </li>
 </ul>
 Qualification
 
 
 
 To be considered for the role, you must meet the below requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree with 8+ years&rsquo; experience in Data Analytics, Business Intelligence, Engineering, or Industrial fields within an airline, ground handling, or similar operational environment.
 </li>
 <li>
 Minimum 3 years in a management role, leading cross-functional and virtual teams.
 </li>
 <li>
 Proven experience building and leading data communities of practice and promoting data-driven decision-making.
 </li>
 <li>
 Proficient in enterprise data platforms and cloud-based analytics ecosystems (e.g., Microsoft Azure, Snowflake).
 
 
 </li>
 </ul>
 
 You&rsquo;ll have an edge if you have
 
 
 
 <ul>
 <li>
 Strong communication and stakeholder management skills, with the ability to translate complex technical concepts into clear business language.
 
 
 </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!
 
 
 
 Recruitment Process and Timeline
 
 
 
 Emirates Group, is an international organisation with employees from over 170 nationalities, we encourage applications from across the globe. Your application journey begins by applying via the Emirates Group Careers website. Please ensure your CV is up to date for our talent acquisition team to review your profile. If you meet the criteria of the role, you will then be invited to complete a HireVue video interview, to share more about your experience and your career aspirations. If you are shortlisted, you will then be invited to interview with our hiring managers. If you are successful, your recruiter will reach out to you with an offer and then our Onboarding team will ensure a smooth transition to your new role at Emirates Group.
 
 
 Salary &amp; benefits
 
 
 Join us in a management role and enjoy an attractive tax-free salary.
 
 
 On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That&rsquo;s on top of transport benefits, life insurance and more. 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
</div>

Data Analytics Manager, dnata Airport Operations

Majid Al Futtaim

<div>
 
 
 BUSINESS INTRODUCTION
 
 
 
 Majid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie &amp; Fitch, &amp; Vox Cinemas. We believe in making Great Moments for Everyone, Every day.
 
 
 
 
 
 
 JOB TITLE
 
 
 
 Product Manager - Advanced Analytics | Majid Al Futtaim Properties
 
 
 
 
 
 
 ROLE SUMMARY
 
 
 
 The
 
 Advanced Analytics Product Manager
 
 will play a critical role in driving the development and success of high-impact, AI-powered use case products within the transformation roadmap. This role serves as the strategic bridge between business stakeholders, implementation teams, and technology functions&mdash;ensuring Advanced Analytics solutions are aligned to business goals, deliver measurable value, and are effectively integrated into decision-making processes.
 
 
 
 
 
 
 ROLE PROFILE
 
 
 <ul>
 <li>
 Collaborate closely with the Business owners and Head of Analytics to define and implement a group-wide analytics product strategy aligned to business priorities and the Transformation vision.
 </li>
 <li>
 Own the full product lifecycle of advanced analytics and AI-powered use cases&mdash;from ideation and proof-of-concept (POC) to scaled implementation, adoption, and continuous improvement.
 </li>
 <li>
 Set the vision, strategy, and roadmap for each analytics product, ensuring clarity of purpose, stakeholder alignment, and long-term value delivery.
 </li>
 <li>
 Participate in discovery workshops with business units to identify analytics opportunities, shape problem statements, and prioritize high impact use cases.
 </li>
 <li>
 Collaborate with data science, analytics, and business teams to convert successful POCs into scalable products that deliver measurable outcomes.
 </li>
 <li>
 Build and maintain strong partnerships with senior stakeholders across functions, acting as a trusted advisor and product evangelist.
 </li>
 <li>
 Lead change management efforts, helping drive cultural and behavioral shifts around data usage and analytics adoption.
 </li>
 <li>
 Work with data management teams to structure and prepare high-quality, relevant data assets that enable fast prototyping and product development.
 </li>
 <li>
 Partner with data engineers to incorporate internal and external data sources, optimizing analytics product performance and value.
 </li>
 <li>
 Provide input into the data infrastructure roadmap, ensuring alignment between analytics product needs and platform capabilities.
 </li>
 <li>
 Support the advanced analytics operating model, participating in governance forums, and contributing to the evolution of best practices.
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENTS
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative discipline such as Business, Computer Science, Engineering, Mathematics, Economics, or related fields.
 </li>
 <li>
 10+ years of experience in analytics, product management, business analysis, and management consulting.
 </li>
 <li>
 Strong background in delivering data or AI-powered products, ideally within large organizations and being part of data transformation programs.
 </li>
 <li>
 Strong understanding of data and analytics fundamentals, product development lifecycles, and enterprise business environments.
 </li>
 <li>
 Exceptional interpersonal skills; highly effective in cross-functional teamwork and communicating complex ideas in a simple, compelling way.
 </li>
 </ul>
 
 
 
 
 
 WHAT WE OFFER
 
 
 <ul>
 <li>
 At Majid Al Futtaim, we&rsquo;re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We&rsquo;re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!
 </li>
 <li>
 Work in a friendly environment, where everyone shares positive vibes and excited about our future.
 </li>
 <li>
 Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.
 </li>
 </ul>
 
 
</div>

Product Manager - Advanced Analytics

Sephora

<div>POSITION PURPOSE 
The Loyalty Data and Insights Manager oversees all Beauty Pass data, insight, and analytics efforts to drive impactful decision-making across the organization. This remit ensures seamless and real-time access to data; and drives his/her team to generate strong insights and actionable reports. He/she will have a track record of expertise in identifying data requirements, turning raw data into compelling insight and working with relevant Sephora teams to identify/action opportunities. The Loyalty Data and Insights Manager needs to be an effective project manager who can prioritize work, drive deliverables and collaborate effectively with teams. He/she should also be a strong team manager able to inspire, nurture and grow team members. 
KEY ACCOUNTABILITIES 
LOYALTY HEALTH MANAGEMENT<ul><li>
Oversee the main program KPIs, create accurate monthly forecasts and reconcile monthly versus actual.</li><li>
Lead the monitoring of key loyalty program health metrics to identify status/risks and deep dive into insight/trends.</li><li>
Leverage data to provide actionable insights that further optimize program performance and enhance customer retention.</li><li>
Regularly present findings to stakeholders in a clear, digestible format to inform strategic decisions.</li></ul> 
DATA AND INSIGHT OVERSIGHT<ul><li>
Manage all incomings data requests to support the Sephora business with loyalty-related data around stores, e-commerce, brands and more.</li><li>
Lead all discussions and requests with team to support:<ul><li>
Insight and reporting needs for thematic campaigns and brand/product launches.</li><li>
Splits, forecasts, run rates and redemption for gifting and more.</li><li>
Segmentation, insights and A/B testing for communications.</li></ul></li><li>
Set up a prioritization framework to handle competing demands and split work amongst team members effectively.</li><li>
Monitor workload and incoming requests to stay on top of backlog, new requests and work in progress with constant flags to delivery risks.</li></ul> 
REPORTING AND ENABLEMENT LEADERSHIP<ul><li>
Oversee the delivery of scheduled weekly and/or monthly reports to various areas of the business leadership teams with a focus on loyalty metrics in-store and online.</li><li>
Manage and maintain user-friendly reports and dashboards that provide key real-time metrics easily accessible and understood by the larger organization.</li><li>
Share reports on a consistent cadence with strong &lsquo;so what&rsquo; implications to ensure stakeholders are well-informed and can take effective decisions.</li><li>
Continue to drive data excellence across the organization by constantly aligning with other insight experts across the group including Offers, E-commerce and Retail.</li></ul> 
STAKEHOLDER MANAGEMENT AND REQUEST OPTIMIZATION<ul><li>
Manage strong relationships with various business teams to understand their data needs and ensure that delivered result is relevant and timely to their business challenges.</li><li>
Organize and manage all incoming data requests, ensuring clarity in ask and purpose of data required.</li><li>
Create an effective data repository of all previous reporting and dashboards to ensure access and sharing across teams and requestors</li><li>
Be the point of contact for all Global and Central teams in the areas of data, insights and analytics</li><li>
Constantly coordinate with Global and Central tech teams to ensure access to correct data platforms/systems and reliability of data pulled</li></ul> 
SKILLS, EXPERIENCE &amp; PERSONALITY 
<ul><li>
5+ years of relevant experience in pulling and analyzing large datasets, and creating actionable insights</li><li>
Track record of success in leveraging data to drive business decisions with demonstrated impact</li><li>
Preferred experience working within the retail industry focused on multiple brands and products as well as complex data segments</li><li>
Bachelors degree in Analytics, Computer Science or equivalent</li><li>
Adept at quickly learning new data platforms and a master at leveraging tools to quickly and effectively analyze data. Knowledge of Power BI is preferred</li><li>
Strong project manager who is able to take on multiple and conflicting requests and effectively create a delivery plan across team members</li><li>
Excellent communication skills (oral, written, and interpersonal) and ability to work in teams</li></ul> 
Most importantly, the ideal candidate needs to live and breathe the Sephora Culture, DNA and Employee Value propositions (EVP). They need to have excellent authentic communication and influencing skills and be energized by working in a fast paced, dynamic environment.</div>

Loyalty Data & Insights Manager

Landmark Group

<div><div><div><div>The Product Analyst &ndash; Checkout will identify root causes for drop-offs, analyze transaction data, and test hypotheses for improving conversion. You will measure the impact of UX enhancements, payment methods, and trust signals on funnel completion. 
 
Key Responsibilities<ul><li>
Track key funnel metrics (cart-to-checkout, checkout-to-payment, success rate).</li><li>
Identify and quantify causes of drop-offs across devices, platforms, and geographies.</li><li>
Collaborate with product and tech to optimize checkout speed and flow.</li><li>
Evaluate payment gateway performance and error rates.</li><li>
Run A/B tests for UX and payment method changes.</li><li>
Partner with CX and Operations to analyze refund and failure reasons.</li><li>
Create dashboards for live monitoring of conversion and payment success.</li><li>
Knowledge, Skills &amp; Experience</li><li>
Deep understanding of ecommerce transaction funnels.</li><li>
Familiarity with payment gateways and success/error metrics.</li><li>
Experience working closely with UX and engineering teams on optimization projects.</li><li>
Strong command of funnel analytics, cohort tracking, and user journey mapping.</li></ul></div></div> 
</div>
1N4elndRec</div>

Manager – Product Analytics

DP World

<div>Key Responsibilities
1. People Analytics &amp; Insights
<ul><li>Collect, analyze, and interpret HR data to provide actionable insights that support strategic decision-making.
</li><li>Support the development and maintenance of HR dashboards and regular analytics reports.
</li><li>Deliver reports covering key metrics such as headcount, employee engagement surveys, turnover, recruitment, diversity, and performance.
</li><li>Utilize analytics tools (e.g., Power BI, Excel, HRIS) to identify trends and provide data-driven recommendations to address gaps or capitalize on opportunities.
</li><li>Ensure data integrity, consistency, and reliability across all HR systems and reporting platforms.
</li><li>Streamline data collection and reporting processes through automation, reducing manual effort and improving turnaround times.
</li><li>Partner with business leaders to define and monitor KPIs related to people performance, engagement, and productivity.
</li></ul>2. HR Projects &amp; Transformation
<ul><li>Lead and manage end-to-end HR projects, including policy rollouts, organizational design, and change management initiatives.
</li><li>Coordinate cross-functional project teams, ensuring timely delivery within scope, budget, and quality standards.
</li><li>Develop and maintain project plans, milestones, and risk registers, providing regular progress updates.
</li><li>Partner with BU and Regional HR leadership to drive continuous improvement initiatives and implement best practices across HR processes.
</li><li>Track progress against key performance indicators (KPIs) and regularly assess program effectiveness, adjusting plans as needed to achieve strategic goals.
</li><li>Coordinate with Business Units, regional and global HR teams, and other departments (e.g., Finance, IT) to ensure alignment and knowledge sharing.
</li><li>Introduce lightweight Agile methods (e.g., Kanban boards, short feedback loops) to enhance collaboration, transparency, and adaptability in HR projects.
</li><li>Encourage teams to experiment, learn quickly, and refine processes through incremental improvements rather than large-scale overhauls.
</li><li>Implement feedback mechanisms (e.g., surveys, debrief sessions) to gather insights following key project phases or major initiatives.
</li><li>Promote a culture of continuous learning by conducting retrospectives and sharing lessons learned across the People function.
</li><li>Support the embedding of organizational values such as flexibility, customer-centricity, and empowerment, ensuring HR practices evolve in line with business needs.
</li></ul>3. Agile Practices &amp; Continuous Improvement
Success Measures
<ul><li>Data Accuracy &amp; Timeliness: Leadership consistently relies on dashboards and analytics for informed decision-making.
</li><li>Project Delivery: High on-time and on-budget completion rates for People projects under management.
</li><li>Continuous Improvement Adoption: Noticeable uptake of Agile mindsets and iterative enhancements within HR teams, leading to faster feedback loops and improved outcomes.
</li></ul>4. Requirements
Academic Qualifications
<ul><li>Bachelor&rsquo;s degree in Human Resources, Business Administration, Data Analytics, or a related field.
</li><li>A Master&rsquo;s degree in HR, Business, or Organizational Development is an advantage.
</li><li>Relevant certifications in HR Analytics, Project Management (PMP/Prince2), or Agile/Scrum are desirable.
</li></ul>Professional Experience
<ul><li>Minimum 5 years of experience in HR project management, analytics, or transformation within a corporate or multinational environment.
</li><li>Proven track record in managing HR projects such as system implementations, process improvements, or organizational change.
</li><li>Strong experience in data reporting and analytics, including preparing HR dashboards and workforce reports.
</li><li>Familiarity with HR systems and reporting tools (e.g., SAP SuccessFactors, Oracle, or Workday) and data visualization platforms (e.g., Power BI, Tableau).</li></ul></div>

Manager - People Projects & Analytics (MENA Regional Office)

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>

Senior Manager - Data & Analytics

<div>
 
 Landmark Digital
 
 
 
 
 
 Meet Landmark Digital &ndash; we&rsquo;re part of the Landmark Group, one of the largest retail and hospitality organisations in the Middle East, North Africa and India. We&rsquo;re guardians of the group&rsquo;s digital arm which encompasses Enterprise and E-commerce Tech, Product Management, User Design, Omni Operations, Customer Experience, Loyalty, Content Production, Studio, Growth and MarTech, Finance and HR functions. With a futuristic outlook we strive to make the digital experience of our customers seamless.
 
 
 
 
 
 Headquartered in Dubai, UAE, we&rsquo;re currently driving the digital experience for eight industry-leading brands in eight geographies, and rapidly expanding our footprint across new territories and functions. Join us, and you&rsquo;ll be part of the Middle East&rsquo;s biggest bricks-to-clicks success story, that registers over 100% growth year-on-year.
 
 
 
 
 
 
 Agile Work Culture
 
 
 
 Within the digital function, you&rsquo;ll be hands-on from day one, working in squads to make independent decisions and game-changing contributions that directly impact millions of customers. You&rsquo;ll collaborate every day with teammates from 20+ nationalities, across Dubai, India, Europe and the US.
 
 
 
 
 
 
 Space for Excellence
 
 
 
 Landmark Digital has a dedicated and growing software development centre in Bangalore, India, where we incubate, design and optimise our products and experiences. We also offer the option to work remotely for certain key roles.
 
 
 
 
 
 
 New Technologies to Play With
 
 
 
 You&rsquo;ll work with the latest in Enterprise and E-commerce tech, headless commerce, open source, microservices, Java Spring Boot and Spring Cloud, React Native iOS and Android apps, React frontend and a host of the latest cloud-native technologies hosted on Azure Cloud.
 
 
 
 
 
 
 Focus on Learning &amp; Growth
 
 
 
 Excellent remuneration and perks are part of the package, but we also budget ample time and resources for training and upskilling.
 
 
 
 
 
 
 Fun at Work
 
 
 
 You&rsquo;ll enjoy our well-equipped break-rooms (FIFA and pool are huge favourites), team events, celebrations and a host of other amenities.
 
 
 
 
 
 Job Purpose
 
 
 To optimize the checkout experience, reduce friction, and drive higher order completion rates by using behavioral analytics, funnel tracking, and experimentation. The role ensures a seamless transition from cart to order confirmation through actionable insights.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 The Product Analyst &ndash; Checkout will identify root causes for drop-offs, analyze transaction data, and test hypotheses for improving conversion. You will measure the impact of UX enhancements, payment methods, and trust signals on funnel completion.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Track key funnel metrics (cart-to-checkout, checkout-to-payment, success rate).
 </li>
 <li>
 Identify and quantify causes of drop-offs across devices, platforms, and geographies.
 </li>
 <li>
 Collaborate with product and tech to optimize checkout speed and flow.
 </li>
 <li>
 Evaluate payment gateway performance and error rates.
 </li>
 <li>
 Run A/B tests for UX and payment method changes.
 </li>
 <li>
 Partner with CX and Operations to analyze refund and failure reasons.
 </li>
 <li>
 Create dashboards for live monitoring of conversion and payment success.
 </li>
 <li>
 Knowledge, Skills &amp; Experience
 </li>
 <li>
 Deep understanding of ecommerce transaction funnels.
 </li>
 <li>
 Familiarity with payment gateways and success/error metrics.
 </li>
 <li>
 Experience working closely with UX and engineering teams on optimization projects.
 </li>
 <li>
 Strong command of funnel analytics, cohort tracking, and user journey mapping.
 </li>
 </ul>
 
 
 
 
 
 Knowledge, Skills &amp; Experience
 
 
 
 
 Job Experience
 
 
 <ul>
 <li>
 4&ndash;7 years in ecommerce or conversion optimization roles.
 </li>
 <li>
 Experience analyzing checkout or payment workflows.
 </li>
 <li>
 Demonstrated improvement in conversion rates or reduced abandonment.
 </li>
 </ul>
 
 
 Required Skills
 
 
 <ul>
 <li>
 Funnel &amp; drop-off analytics
 </li>
 <li>
 Payment gateway performance monitoring
 </li>
 <li>
 Clear communication &amp; executive reporting
 </li>
 </ul>
 
 
</div>

Explore 3025+ Analytics manager in Dubai this December. Find roles across top companies and apply now to boost your career.

3025 analytics manager jobs IN Dubai

Data Analytics Manager, dnata Airport Operations

Product Manager - Advanced Analytics

Loyalty Data & Insights Manager

Manager – Product Analytics

Manager - People Projects & Analytics (MENA Regional Office)

Senior Manager - Data & Analytics

Manager – Product Analytics