459 Platform Analytics Specialist jobs in the United Arab Emirates

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.

As a software engineer at Canonical, you will collaborate on end-to-end data analytics and machine learning solutions composed of popular open-source tools such as Kubeflow, MLFlow, DVC, and Feast.

You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse.

These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We are seeking candidates who have experience with Python and can design build and maintain solutions that will be deployed on public and private clouds and local workstations.

• We value excellent communication skills including written and spoken English with excellent presentation skills.
• The ideal candidate should have a track record of going above-and-beyond expectations to achieve outstanding results.
• We expect applicants to be passionate about technology evidenced by personal projects and initiatives.

In addition, we are looking for individuals who have hands-on experience with container technologies (Docker, LXD, Kubernetes etc.), public clouds (AWS, Azure, Google Cloud) and working knowledge of cloud computing.

We offer a distributed work environment, personal learning and development budget, annual compensation review, recognition rewards, annual holiday leave, maternity and paternity leave, Employee Assistance Programme and opportunity to travel to new locations to meet colleagues.

About Us

We are an equal opportunity employer and we are proud to foster a workplace free from discrimination. Diversity of experience perspectives and background create a better work environment and better products.

• We are seeking experienced software engineers who have expertise in developing high-quality software using Python and related technologies.
• The successful candidate will have strong analytical problem-solving skills and excellent communication skills.
• We place great emphasis on teamwork collaboration and innovation.

What We Offer

• Distributed work environment with flexible working hours
• Personal learning and development budget of USD 2000 per year
• Annual compensation review with opportunities for growth
• Recognition rewards for outstanding performance
• Annual holiday leave with paid time off
• Maternity and paternity leave with full pay
• Employee Assistance Programme with confidential support
• Opportunity to travel to new locations to meet colleagues and attend company events

Data & Analytics Manager

Location: Abu Dhabi

We are hiring on behalf of a major multinational in the energy & infrastructure sector, recognised for its scale, innovation, and impact. This is a rare opportunity to join a prestigious organisation driving digital and data transformation across the region.

• Lead enterprise data strategy, governance, and compliance
• Oversee data platforms, BI, and analytics solutions
• Drive insights for executive decision-making
• Build and mentor a high-performing data team

• Degree in Computer Science, Data, IT, Statistics, or related (Master's preferred)
• 7+ years' experience in data/analytics leadership roles
• Strong background in data governance, BI, and platform management
• Excellent stakeholder management & leadership skills

Job Overview:

• We are seeking a highly skilled professional to fill a Data Analytics Solutions Developer role, responsible for designing and implementing modern data analytics solutions using Microsoft Fabric.

Key Responsibilities:

• Design scalable data models and dashboards in collaboration with stakeholders.
• BUILD AND MAINTAIN DATA INGESTION AND TRANSFORMATION PIPELINES USING MICROSOFT FABRIC'S DATA FACTORY.
• Implement semantic models and datasets using Power BI Direct Lake Import or LiveConnect options.
• Utilize OneLake as a centralized data lake and implement data governance best practices.
• Enable self-service BI by developing user-friendly reports, dashboards, and metrics layers.
• Integrate Fabric with external data sources (on-prem/cloud) and Microsoft 365 ecosystem.
• Ensure security compliance and efficient data lifecycle management within the Fabric platform.

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Data Science, Information Systems, or related field.
• At least 35 years of experience in BI and data platform solutions, including recent work with Microsoft Fabric.
• Strong hands-on experience with:
• Power BI (including DAX, Power Query)
• Synapse Data Warehouse (in Fabric)
• Data Factory pipelines (Fabric)
• OneLake
• Solid understanding of data modeling concepts, ETL/ELT processes, and data governance.
• Experience integrating Microsoft Fabric with Microsoft 365, Azure, or third-party services.
• Excellent communication and stakeholder management skills.

Benefits:

The ideal candidate will be part of a dynamic team working on cutting-edge data analytics projects. Opportunities for growth and development will be provided.

We are looking for a skilled Cloud Engineering Specialist to develop open-source AI/ML solutions, collaborate globally, and support public/private cloud infrastructures.

• Design, build, and maintain solutions on cloud and local systems
• Master distributed systems concepts such as observability and tracing
• Work with Kubernetes and open-source applications
• Collaborate with a distributed team of engineers, designers, and product managers
• Debug issues and engage with upstream and Ubuntu communities

• Experience with Python in professional or academic settings
• Strong academic record
• Degree in a technical field or equivalent experience
• Confidence in communication and feedback exchange
• Proven track record of exceeding expectations
• Passion for technology demonstrated through personal projects
• Work ethic and confidence to collaborate effectively
• Excellent English communication skills
• Experience with Linux (Debian or Ubuntu preferred)
• Interpersonal skills, curiosity, flexibility, accountability
• Appreciation for diversity and multicultural environments
• Self-motivation and thoughtfulness
• Result-oriented with a drive to meet commitments

We are seeking a skilled Data Analytics Manager to drive strategy oversight and management of our data and analytics initiatives.

The successful candidate will develop and implement a comprehensive data and analytics strategy aligned with the overall business objectives, driving data literacy and data-driven decision-making across the organization.

Key Responsibilities:

• Develop and implement a data and analytics strategy to drive business growth and deliver actionable insights
• Collaborate with cross-functional teams to identify and define key performance indicators (KPIs) and metrics that align with business goals
• 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 modeling 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

Requirements:

• Tools: Smart forecasting - partners' and volumes using algorithms based on historical volumes and data
• Deploying AI/optimization - Researching and sourcing new tools that enhance visibility and decision making, preparing data landscape for online offerings
• Source all options of external data, including known sources on volumes, and 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, such as booking uptake, and assist with automation of tasks and reporting

Preferred Qualifications:

• Bachelor's degree in a relevant field, such as Data Science, Computer Science, Statistics, or a related discipline; Master's degree or higher preferred
• 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 modeling 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

This is an exciting opportunity to become a key player in the dynamic field of shipping. We encourage you to apply and join us in driving success at Emirates Line.

Schneider Electric has a meaningful opportunity for an Internal Auditor Data Analytics in Dubai.

Global Internal Audit (GIA) department is part of the Governance Function within Schneider Electric (SE) and operates from several locations across the world.

This position will be a key player in elevating the level of Internal Control across the entire region. You will interact with all facets and levels of business in North and South America, network with many functional experts, global process owners and be exposed to the Global Internal Audit team members around the world. The Schneider Electric Internal Control framework encompasses all areas of the business including but not limited to: Sales & Marketing, Manufacturing, Logistics, Purchasing, HR, Pricing, Solutions (Projects), Field Services as well as the traditional Finance and Accounting Operations.

The objective of the position is to support internal audit or internal control missions in order to :

• Query and leverage data sources such as ERPs, SAP, Concur, etc. within Schneider Electric
• Assess the level of internal control within Schneider Electric
• Identify areas where the performance can be improved
• Optimize and improve auditors sampling methods
• Measure how operational risks are monitored and mitigated Leverage Group tools & databases to deliver analytical insights on compliance or business risks Back-office analytical work
• Drive project on data extraction to ensure smooth access to all relevant internal systems
• Maintain & improve scripts to ensure their reliability & effectiveness
• Understand business processes, the IT environment / landscape, how SE entities are using it, as well as business impacts of system configurations
• Measure vulnerabilities in Group systems to mitigate fraud risks or potential capital losses
• Ensure understanding of analyses by audit / control teams
• Train teams and auditees to allow autonomous access to standard analyses
• Suggest additional analytics in various domains (finance, purchasing, HR, Sales & Marketing, Pricing, Logistics, etc) to be included in missions
• Suggest innovative visualizations of results

When supporting an audit

• Execute data extraction scripts
• Consolidate results & propose impactful visualizations
• Conduct interviews and perform additional tests to validate working assumptions & ensure analytical reliability
• Liaise with audit/control team on a daily basis to ensure analytics are fully leveraged

Qualifications:

Technical competencies:

• ACL
• SQL
• Oracle database
• Data visualization and dashboarding
• Machine learning
• Scripting and statistics languages (Python, etc.)
• Tableau
• Alteryx

Requirements:

• 6-10 years of relevant experience in Data Science
• Bachelor's or master's degree in computer science or Data Science
• Proven experience in data analytics, auditing, and risk management
• Strong proficiency in data analysis tools and programming languages such as SQL, Oracle Database, Python, R, and data visualization and dashboarding, ACL, Machine learning, Scripting and statistics languages (Python, etc.) and Tableau

Skills & Abilities

• Strong communication, leadership, and project management skills.
• Ability to work effectively in a collaborative team environment and adapt to changing priorities.

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

We are seeking a motivated and analytical Recruitment & Data Analytics Intern to join our dynamic team in Dubai United Arab Emirates. This internship offers a unique opportunity to gain hands-on experience in both recruitment processes and data-driven decision-making within a corporate environment.

• Assist in various stages of the recruitment process including sourcing screening and scheduling interviews
• Collect clean and analyze recruitment data to identify trends and patterns
• Support the development and maintenance of recruitment metrics and dashboards
• Collaborate with HR team members to optimize recruitment strategies based on data insights
• Assist in the implementation and utilization of Applicant Tracking Systems (ATS)
• Conduct research on industry hiring trends and best practices
• Participate in projects aimed at improving recruitment efficiency and effectiveness
• Prepare reports and presentations on recruitment analytics

Qualifications :

• A bachelors degree in Human Resources Business Administration Data Science Statistics or related field
• Proficiency in data analysis software such as Excel
• Familiarity with Applicant Tracking Systems (ATS) and basic HR processes
• Strong analytical and problem-solving skills
• Excellent communication skills in English; Arabic is a plus
• Keen attention to detail and ability to work with confidential information
• Effective time management and organizational skills
• Ability to work collaboratively in a team environment
• Enthusiasm for learning and applying data-driven approaches to recruitment
• Academic projects or coursework related to HR or data analysis preferred

Additional Information :

What will you get

• An exciting international environment of projects customers and consultants
• Extensive training opportunities in data analytics and data engineering.
• Competitive salary

Remote Work :

No

Employment Type :

Intern

Schneider Electric has a meaningful opportunity for an Internal Auditor Data Analytics in Dubai.

Global Internal Audit (GIA) department is part of the Governance Function within Schneider Electric (SE) and operates from several locations across the world.

This position will be a key player in elevating the level of Internal Control across the entire region. You will interact with all facets and levels of business in North and South America, network with many functional experts, global process owners and be exposed to the Global Internal Audit team members around the world. The Schneider Electric Internal Control framework encompasses all areas of the business including but not limited to: Sales & Marketing, Manufacturing, Logistics, Purchasing, HR, Pricing, Solutions (Projects), Field Services as well as the traditional Finance and Accounting Operations.

The objective of the position is to support internal audit or internal control missions in order to:

• Query and leverage data sources such as ERPs, SAP, Concur, etc. within Schneider Electric
• Assess the level of internal control within Schneider Electric
• Identify areas where the performance can be improved
• Optimize and improve auditors sampling methods
• Measure how operational risks are monitored and mitigated Leverage Group tools & databases to deliver analytical insights on compliance or business risks Back-office analytical work
• Drive project on data extraction to ensure smooth access to all relevant internal systems
• Maintain & improve scripts to ensure their reliability & effectiveness
• Understand business processes, the IT environment / landscape, how SE entities are using it, as well as business impacts of system configurations
• Measure vulnerabilities in Group systems to mitigate fraud risks or potential capital losses
• Ensure understanding of analyses by audit / control teams
• Train teams and auditees to allow autonomous access to standard analyses
• Suggest additional analytics in various domains (finance, purchasing, HR, Sales & Marketing, Pricing, Logistics, etc) to be included in missions
• Suggest innovative visualizations of results

When supporting an audit

• Execute data extraction scripts
• Consolidate results & propose impactful visualizations
• Conduct interviews and perform additional tests to validate working assumptions & ensure analytical reliability
• Liaise with audit/control team on a daily basis to ensure analytics are fully leveraged

• 6-10 years of relevant experience in Data Science
• Bachelor's or master's degree in computer science or Data Science
• Proven experience in data analytics, auditing, and risk management
• Strong proficiency in data analysis tools and programming languages such as SQL, Oracle Database, Python, R, and data visualization and dashboarding, ACL, Machine learning, Scripting and statistics languages (Python, etc.) and Tableau

• ACL
• SQL
• Oracle database
• Data visualization and dashboarding
• Machine learning
• Scripting and statistics languages (Python, etc.)
• Tableau
• Alteryx

• Strong communication, leadership, and project management skills.
• Ability to work effectively in a collaborative team environment and adapt to changing priorities.

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.