17 Analytics Management jobs in the United Arab Emirates

Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.

Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.

Position Summary:

• Within the Strategy & Analytics team, Property Finder isis seeking a Business Analytics Associate who will collaborate with various departments to establish a top-tier analytical environment for our organization.

Key Responsibilities

• Build Visual reporting tools that will engage our partners in a way that makes our data easy to digest and understand whilst giving actionable insights for them.
• Responsible for high-priority data requests & reporting within the Central Functions (e.g. Business Performance, Strategy & Transformation, Commercial Finance, HR).
• Partneringwith the Data Engineering team in our journey to establish an exceptional self-service analytics environment.
• Partnering with the Business Performance Team to maintain & produce essential recurring business performance reports on a daily, weekly, and monthly basis.
• Maintaining vigilance over data quality to ensure accuracy and reliability, serving as the primary source of truth.

• 2+ years of experience working as analyst in Business Analytics in a reputable tech company or a top tier management consulting company.
• Exceptional SQL and a Business Intelligence tool (e.g. Tableau, Quicksight, Click, Power BI etc.) knowledge
• Exceptional analytical and quantitative problem-solving skills
• Strong written and verbal communication skills with experience in presenting technical content to audiences
• Fluency in English

• Can do attitude (We get things done, no excuses)
• A dynamic, focused and self-motivated person with ability to manage multiple tasks simultaneously

Our promise to talent

At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.

Property Finder Guiding Principles

• Think Future First
• Data Beats Opinions, Speed Beats Perfection
• Our People, Our Power
• The Biggest Risk is Taking no Risk at All

Interested in building your career at Property Finder? Get future opportunities sent straight to your email.

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• AAU does not recruit through recruitment agencies, and shall never ask for any payments related but not limited to visa, recruitment, travel expenses etc.
• All the recruitment offers are sent through official HR Email ID ( ), AAU shall bear no responsibility of the offers sent through IDs other than the mentioned Email ID.

Reference Number: 386 Al Ain

Job title: Assistant Professor in Business Analytics

Qualification: Ph.D. in Business Analytics

• Develop and deliver courses to students in the specified discipline areas of study.
• Evaluate and monitor individual student progress and provide feedback to improve and sustain student success.
• Ability to teach a variety of specialized courses, and other courses related to Business Analytics specialization.
• Engage and conduct quality research and publish in journals of high repute.
• Support and engage in curriculum development, and course management aligned with University and college’s standards.
• Contribute effectively to the college and university initiatives, and participate in constructive proposals and projects.
• Support and participate in accreditation initiatives at local and international levels.
• Promote and guide students to envision their future careers in a local, regional and international context and ensure that they are equipped to meet this challenge.
• Maintain relationships with students that are conducive to learning.
• Initiate and participate in effective community engagement activities aiming to benefit the AAU and local community.

• A proven track record of teaching excellence at the university level, having 2+ years of experience in university teaching.
• Research published in journals indexed in the Scopus database.
• Dedication to continued professional development.
• Dedication to renewing, developing, and proposing curricula.
• Ability to communicate effectively in English & Arabic orally and in writing.
• Advanced use of technology in the education process (delivering classes via presentations, using e-learning systems, reports, etc.).
• Willingness to provide all necessary and required services to the university and college.

The role will be held by an academic and/or practitioner who has in-depth knowledge of the subjects outlined below and can actively contribute to knowledge transfer within their programme and university.

To conduct and contribute to learning, teaching, and knowledge transfer to benefit students, the School, the University and the wider community.

Learning and Teaching

1. Lead the development and review of curricula and programmes through liaison with colleagues in Dubai and London.
2. Ensure that the curriculum is at the forefront of knowledge and reflects the latest research insights and materials.
3. Lead the development of innovative approaches to learning and teaching.
4. Coach and develop others in teaching methods and practice.
5. Deliver high quality teaching to students at undergraduate and postgraduate level.
6. Lead initiatives to enhance student experience and outcomes.
7. Provide academic advice and counselling.
8. Supervise dissertations at undergraduate and postgraduate levels.
9. Liaise closely with teaching, technical and administrative staff as appropriate to ensure a quality teaching and learning environment.

Knowledge, Skills and Experience

1. Appropriate academic qualifications at postgraduate level (normally a doctorate or equivalent) in Business Analytics, Data Science, Statistics, Business Information Systems.
2. Understanding of machine learning algorithms and techniques.
3. Proficiency in statistical analysis tools and software such as R, Python, SAS, or SPSS.
4. Knowledge of data visualization tools like Power BI and Tableau.
5. Familiarity with database querying languages like SQL.
6. Proven ability to deliver high quality teaching across the general curriculum of one or more of the following areas:
7. Business Analytics
8. Data Science
9. Statistics
10. Natural Language Processing
11. Data Ethics, Security, and Privacy
12. Evidence of competence in the fields mentioned above and a track record of research outputs, normally of high international standing, commensurate for stage of career.
13. Track record of innovation in teaching and learning, reflected in design, delivery and promotion of good professional practice.
14. Ability to engage students and staff, and to motivate them to perform at their best.
15. Proven record of success in undertaking, supervising and managing research activity, including Masters supervision.

Additional Experience

1. Previous experience working in business analytics, data analysis, or a related field is highly desirable.
2. Experience applying analytical techniques to real-world business problems.
3. Familiarity with various industries and their analytics needs, such as marketing analytics, financial analytics, operations analytics, HR analytics, etc.
4. Familiarity with big data analysis and cloud-based platforms like Microsoft Azure.
5. Proven record of success in undertaking, supervising and managing research activity, with at least some experience of student supervision.
6. Evidence of ability to attract research and knowledge transfer funding.
7. Postgraduate Certificate in Higher Education, or equivalent teaching qualification.

WeSource HR is currently seeking a Project Manager / Scrum Master – Data & Analytics to lead high-impact data initiatives for one of our key clients in Dubai. This is a contract-based role ideal for a proactive and organized professional with a strong background in Agile methodologies and data-driven project delivery. You’ll play a pivotal role in driving collaboration, removing roadblocks, and ensuring projects stay aligned with strategic business goals.

Manage end-to-end delivery of data projects
Foster collaboration between business and technical teams
Implement agile best practices and manage project backlogs

5+ years in project management, with 2+ in agile environments
Certified Scrum Master (CSM or equivalent)
Experienced with data engineering, analytics, BI tools
Skilled in JIRA, Azure DevOps, and project tracking tools

At WeSource HR, we specialize in connecting top-tier talent with innovative organizations across the Middle East. Based in Dubai, our mission is to streamline human resources solutions through integrity, agility, and a people-first approach. As a trusted partner in workforce development, we empower businesses by delivering customized HR and talent acquisition strategies. Learn more at wesource.ae.

Overview

At Atlantis, we exist to bring the extraordinary to every holiday and experience through connection, empowerment, precision, care and warmth. Inspired by the majesty and mystery of the ocean, Atlantis resorts are unique destinations full of life, wonder and surprise, where we seek to exceed our guests’ expectations at every possible turn.

Nestled between the calm turquoise waters of the Arabian Gulf and the majestic Dubai skyline, Atlantis, The Palm is the crown of the world-famous Palm island in Dubai. With a sense of exhilaration and discovery, we create unforgettable memories by providing guests the opportunity to discover an extraordinary world filled with thrilling adventures. Whether we are designing a couple’s retreat or serving the extraordinary in one of our award-winning celebrity chef restaurants, we approach everything with imagination to spark a sense of courage, inspiration and innovation. This is not simply our job, it’s our passion.

As the Assistant Manager - People Analytics , you will drive data-informed decision-making across the HR function by delivering meaningful reports and insights aligned with strategic business goals. You’ll collaborate closely with HR leaders to identify key metrics, enhance reporting tools, and provide analysis that supports workforce planning, performance, and engagement initiatives. You will continue to ideate on simplification and automation projects for the HR team, collaborate with IT and other stakeholders to implement automation solutions. You will wear the hat of Project Manager and execute projects in DMAIC methodology. You will explore the digitization options for HR processes and execute.

You bring 3–5 years of experience in people analytics, ideally within an international environment. Exceptional in Excel and Power BI, you're confident in handling complex data sets and building actionable reports. With a strong analytical mindset, project management and excellent communication skills, you thrive in fast-paced settings and enjoy helping others interpret data to improve decision-making. You will constantly challenge the status quo and strive to create process-oriented work environment while avoiding dependency on individuals. You will work in an uncertain world with only data being your friend

Atlantis Dubai is an iconic entertainment destination comprised of two world-class resorts; Atlantis, The Palm and Atlantis, The Royal; offering an unbeatable opportunity for you to grow and develop in your career. Join a team that is adventurous, creative, warm-hearted and extroverted. We believe in making our guests happy beyond anything they have ever imagined. We wow them at every turn and create memories that will last a lifetime. You will be at the heart of this vision, to constantly innovate to deliver Amazing Experiences and Everlasting Memories.

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:

• 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.
• 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.
• Ensure data accuracy, integrity, and security throughout the organization by implementing robust data governance and management practices.
• Identify opportunities to leverage advanced analytics techniques, such as predictive modelling and AI, to derive insights, improve operational efficiency, and enhance service offerings.
• Stay current with industry trends, technologies, and best practices in data and analytics and apply them to drive innovation and continuous improvement.
• Develop strong relationships with internal stakeholders, including senior leadership, to understand their requirements, provide analytics solutions, and communicate insights effectively.
• Track and report on key performance metrics related to data and analytics initiatives and present findings, trends, and recommendations to the executive team.

Requirements:

• Tools Smart forecasting – partners’ and ESL’s volumes using algorithms based on historical volumes and “on the books” data.
• Deploying AI/optimization – Researching, sourcing and implementing new tools that enhance visibility and decision making, prepare data landscape to take ESL’s offerings online
• 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.
• Setup data connections and key metrics like booking uptake as well as assist with automation of tasks and reporting

• 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.
• A background in the carrier or maritime industry, with an understanding of its challenges is preferred but not mandatory.
• Proven track record of developing and implementing successful data and analytics strategies, driving business growth, and delivering actionable insights.
• Demonstrated expertise in data management, data governance, and data quality assurance.
• Knowledge of advanced analytics techniques, such as predictive modelling and AI, and their applications in the industry.
• Strong communication and presentation skills, with the ability to translate complex analytical concepts into clear and concise insights for non-technical stakeholders.
• Outstanding problem-solving and analytical thinking abilities, with a keen attention to detail.
• Ability to work effectively in a fast-paced, dynamic environment and prioritize and manage multiple projects simultaneously.
• Enjoys driving transformation and has experience with change management in complex business environments

If you are ready to take on this exciting challenge and become a key player in the dynamic field of shipping, we encourage you to apply and join our team in driving success at ESL.

Interested parties please submit your full resume at

The hiring organisation is a well-established entity within the retail industry, known for its innovative approach to loyalty programs. Operating as a large organisation, they are committed to leveraging data to enhance customer engagement and optimise business outcomes.

Analytics Strategy & Leadership

• Define and execute the data and analytics roadmap for loyalty, CRM, and marketing programs.
• Build and mentor a high-performing team of data scientists, analysts, and BI specialists.
• Foster a data-driven decision-making culture across the organization.

Loyalty & CRM Analytics

• Design and measure loyalty program strategies to improve retention, engagement, and ROI.
• Leverage AI/ML for personalization, segmentation, and churn prediction.
• Monitor and optimize customer lifetime value (CLV) across all segments.
• Deliver omnichannel analytics that integrate data from in-store, eCommerce, app, and digital platforms.

Insights & GTM Strategy

• Partner with marketing and commercial teams to shape go-to-market (GTM) strategies driven by customer insights.
• Provide recommendations on reward structures, promotional campaigns, and customer journeys to maximize impact.
• Develop executive dashboards and KPIs to track loyalty program performance and GTM effectiveness.

Data Management & Governance

• Oversee data integration across POS, CRM, eCommerce, mobile, and digital channels.
• Ensure data quality, governance, and compliance with industry standards.
• Drive adoption of cloud-based analytics platforms and scalable data models.

A successful Director of Data Analytics (Loyalty) should have:

• Minimum degree qualified, Masters is preferred, with past experiences in loyalty programs within retail, restaurant chain, banking or airlines.
• 12+ years of experience in data analytics, with at least 5 years in leadership roles.
• Exceptional communication and stakeholder management skills, with experience influencing C-level executives.
• Strong expertise in retail, loyalty program design, CRM, and omnichannel analytics.
• Proven success in customer segmentation, CLV modelling, and GTM strategy enablement.
• Proficiency in cloud based analytics platforms, strong technical understanding of AI/ML methodologies.
• Excellent business acumen with the ability to translate analytics into strategic recommendations.

Overview

Мы ищем опытного Data Engineer / Python Developer с сильными навыками работы с Python и облачными платформами данных для трансформации, управления и оптимизации финансовых данных.

• Проектирование, разработка и поддержка ETL/ELT-процессов для финансовых и торговых данных.
• Работа с ClickHouse, Snowflake, Postgres, Kafka для эффективного хранения, обработки и управления данными.
• Взаимодействие с аналитиками, риск-менеджерами и трейдерами для предоставления чистых, структурированных наборов данных.
• Разработка и поддержка дашбордов, API и автоматизированных отчетов.
• Внедрение лучших практик в области качества данных, их управления и отслеживания.
• Оптимизация производительности баз данных, мониторинг конвейеров данных и поддержка в продакшене.