42 Ipsos jobs in Dubai

Develop and implement effective data analytics strategies to inform business decisions, enhance operational efficiency, and drive growth.

Join to apply for the Data Analytics Engineer role at Huspy .

Huspy is a leading property technology company in EMEA. Since launching in 2020, we operate in multiple cities across the UAE and Spain, and are expanding into Saudi Arabia and three additional European markets by 2026. We have raised over $140 million (Series A and B) from top investors to reshape the homebuying journey through technology and agent-first tools. We've built a SuperApp that empowers real estate agents and mortgage brokers to transform how property transactions happen — faster, smarter, and better for everyone.

• Architect our Data's Future: Design, build, and own the transformation layer of our data stack using dbt and Snowflake, creating clean, reliable, and scalable data models that serve as the single source of truth.
• Guarantee Data Trust and Integrity: Develop automated reconciliation processes to validate that raw data coming from Kafka matches our core application portals, ensuring every number is trusted and establishing a verified Single Source of Truth for each dataset.
• Build a Self-Serve Platform: Empower business users and analysts by developing curated tables and connecting them to our BI tool, Looker, enabling true self-service analytics.
• Automate for Quality and Scale: Implement robust CI/CD pipelines and GitHub automations (e.g., required tests, SQL linting) that validate pull requests before merging, enforcing high standards and allowing the team to scale confidently.
• Implement Modern Data Governance: Develop and implement strategies for handling Personally Identifiable Information (PII) and manage the full data lifecycle (from ingestion to archival), ensuring our platform is secure, compliant, and cost-effective.
• Optimize for Scale and Cost: Develop a deep understanding of Snowflake usage and AWS costs, implementing best practices to ensure our platform is as efficient as it is powerful.

• Proven Experience: 4+ years in an Analytics Engineering or a data modeling-heavy Data Engineering role.
• dbt is Your Superpower: Expert-level proficiency with dbt (Core or Cloud). You can speak fluently about macros, packages, testing, and project structure.
• SQL & Data Warehousing Master: Advanced SQL skills and deep experience with a cloud data warehouse like Snowflake (preferred).
• A Modeler's Mindset: Strong understanding of dimensional modeling concepts (e.g., Kimball methodology) and the ability to design data models that are both comprehensive and easy to understand.
• Pragmatic Programmer: Proficiency in Python for scripting, automation, and data pipeline development.
• Cloud Native: Hands-on experience with cloud platforms, preferably AWS.
• Excellent Communicator: Ability to translate complex technical concepts to non-technical stakeholders and turn business requirements into robust data models.

• Experience building and maintaining BI layers in Looker (LookML).
• Experience working with event streaming data from Kafka.
• Familiarity with data governance tools.

Hybrid in Dubai or Madrid, remote anywhere in the EU. Relocation support to Dubai or Madrid is available if preferred.

• Seniority level: Associate
• Employment type: Full-time
• Job function: Information Technology

Referrals increase your chances of interviewing at Huspy.

We are seeking an experienced professional to design and develop complex data analytics solutions for executive teams.

The ideal candidate will have a strong background in data analysis, dashboard creation, and mobile-first optimization techniques.

• Develop robust Power BI reports and dashboards that meet business needs.
• Create mobile-optimized Power BI reports for senior executives.
• Lead projects related to data integration, cloud analysis, and data pipeline management.

• Bachelor's degree in computer science or a related field.
• 6+ years of experience in Power BI development, data analytics, and dashboard design.
• Proficiency in Power BI, including data modeling, report/dashboard design, and advanced visualization techniques.
• Strong SQL skills for data extraction and reporting.
• Experience with Microsoft Dynamics 365 and AWS for data integration and cloud analysis.
• Knowledge of ETL processes and data pipeline management.
• Leadership skills to lead teams and manage projects.
• Excellent communication skills to collaborate with stakeholders.

The ideal candidate will have a certification like PL-300 as a plus.

Skills required: Data analytics, Power BI development, Mobile optimization, SQL query optimization, Cloud services (AWS), ETL development, Project management, Stakeholder engagement, Data quality assurance, Problem solving.

Our client is an international law firm and they are currently wishing to recruit an experienced law firm Data Analytics Specialist.

They are seeking a specialist with technical skills in data analysis who is comfortable doing formulas and data analysis on massive excel spreadsheets.

You must be experienced in using visio; design PPT presentations; etc.

This person would be a timekeeper and would bill time like a paralegal, but the real emphasis here isn’t on research, but rather technical/analysis skills.

• You would fix coding errors and other data-related problems.
• Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
• Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.

Please email your CV ASAP to discuss.

Our client is an international law firm and they are currently wishing to recruit an experienced law firm Data Analytics Specialist.

They are seeking a specialist with technical skills in data analysis who is comfortable doing formulas and data analysis on massive excel spreadsheets.

You must be experienced in using visio; design PPT presentations; etc.

This person would be a timekeeper and would bill time like a paralegal, but the real emphasis here isn't on research, but rather technical/analysis skills.

• You would fix coding errors and other data-related problems.
• Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
• Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.

Please email your CV ASAP to discuss.

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.

We are seeking a skilled Data Analyst to join our team in a dynamic, fast-paced environment where technology and innovation drive everything we do.

Our vision is to provide equitable access to essential financial services for the unbanked and underbanked through affordable, convenient, and transparent solutions.

The ideal candidate will have experience in data governance, advanced proficiency in AWS services, and proficiency in SQL, Python, Java, and ETL processes.

This is a senior position that requires strong analytical skills, business acumen, and technical expertise.

You will be responsible for developing and managing scalable dashboards and reporting systems using AWS tools, building new and robust data pipelines in collaboration with Data Engineers, and conducting data analysis to identify trends, anomalies, and opportunities across customer behavior, fraud detection, and compliance workflows.

Supporting business decision-making with evidence-based data analysis and recommendations is a key aspect of this role.

In addition, you will create clear documentation on transformation logic, including code annotations and business rules, and maintain end-to-end data lineage across AWS services. Ensuring governance alignment by logging classification, access control, and compliance metadata in collaboration with relevant stakeholders such as Information Security and the Data Protection Officer is also a critical part of this role.

The successful candidate will have excellent communication skills, be able to work independently, and be a team player who can collaborate effectively with cross-functional teams.

As a Data Analyst at myZoi, you will have the opportunity to work in a fast-paced and innovative environment, contribute to delivering exceptional insights to both our internal teams and clients, and grow your career in a company that values innovation and excellence.

• Develop and manage scalable dashboards and reporting systems using AWS tools.
• Build new and robust data pipelines in collaboration with Data Engineers.
• Conduct data analysis to identify trends, anomalies, and opportunities across customer behavior, fraud detection, and compliance workflows.
• Create clear documentation on transformation logic, including code annotations and business rules.

We are seeking a seasoned software engineer to spearhead the development of innovative data, AI/ML, and analytics solutions using Python and Kubernetes.

The ideal candidate will have expertise in machine learning libraries or tools, container technologies (Docker, LXD, Kubernetes), and public clouds (AWS, Azure, Google Cloud).

Key responsibilities include designing, building, and maintaining solutions for public and private clouds, collaborating with cross-functional teams, and driving projects forward.

1. Develop in-depth knowledge of the entire Linux stack.
2. Craft solutions that cater to diverse cloud environments.
3. Master distributed systems concepts such as observability, identity, tracing.
4. Contribute proactively to team discussions and goal-setting.

Benefits:

We offer a dynamic work environment, opportunities for personal growth, annual performance reviews, recognition programs, paid time off, family leave, employee assistance, travel opportunities, and priority passes.

What We Look For:

A highly motivated individual with exceptional software delivery skills, strong academic background, and passion for innovation.

We are seeking a seasoned professional to lead the sales cycle, leveraging company resources to achieve successful collaborations with enterprise customers. The ideal candidate will have a proven track record of success in enterprise software sales, consistently exceeding quotas.

This role involves engaging customers across various industries within our network to help them develop a more efficient approach using our platform. With strong domain expertise in data and analytics, you will work cross-functionally with Marketing, Product Management, and Engineering teams to drive growth.