173 Analytics Consulting jobs in Dubai

Job Description

Data Analytics Intern

July 2025 - Jan. 2026 (Dubai)

Our company will kick start your career journey within the Pharmaceutical industry. We will empower you to Invent for Life. You will be part of a diverse and inclusive multiskilled team of highly motivated individuals. We keep the patient at the very heart of all that we do and strive to find solutions and treatments for some of the world's most challenging healthcare needs.

What are the benefits for you as an Intern

Being an intern at our company means you will get the opportunity to develop yourself within one of the world's leading healthcare companies:

• Gain hands-on experience within the pharmaceutical industry
• Ability to grow your potential and be part of a diverse team of employees
• Work within a challenging and dynamic work environment
• Gain strong analytical and problem-solving skills

Your responsibilities

• As a member of the Commercial Operations department and of the Data team, you will have the opportunity to contribute to the transformation, harmonization, and continuous improvement of the way analysis and insights are created by leveraging innovative data platforms in order to deliver actionable insights to the business.

Your profile

• Fluency in English
• Graduating in 2026 or later
• Ability to work 30-40 hours per week
• Skills in data analysis, proficient in Excel
• Preferred experience in visualization tools like Qlik
• Strong analytical mindset, structured and organized, proactive & striving for excellence, self-driven with efficient reporting capability

What we offer

• Monthly stipend
• Buddy and mentor support during your journey
• Learning opportunities

We are an Equal Opportunities Employer and welcome applications from all qualified candidates.

The ideal candidate for this role should have advanced knowledge of programming languages, particularly in the fraud domain. They must be skilled in data analysis and mining, with experience working with enterprise database platforms.

• Design and develop efficient programs to analyze and mitigate risks.
• Collaborate with cross-functional teams to understand business requirements and implement solutions.
• Stay up-to-date with industry trends and best practices in data analysis and fraud prevention.

• Advanced programming skills.
• Strong understanding of data analysis and mining techniques.
• Experience working with enterprise database platforms.
• Knowledge of payment processes a plus.

This is an excellent opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions.

We are looking for a highly skilled professional who can work independently and collaboratively as part of a team.

Position: Manager – Data Analytics

Team: Strategy & Technology

Location: Dubai, United Arab Emirates

Contract: Full-time

Type: On-site / Hybrid

Benefits: Attractive fixed & variable pay

AtIdealz Holding , we're redefining retail with our flagship"Shop & Win" model — transforming everyday shopping into extraordinary winning experiences. With a presence spanning 4 continents and over$100M in prizes awarded , we sit at the intersection of commerce, technology, and data.

Data is the heartbeat of our growth — powering smarter decisions, sharper campaigns, and stronger customer loyalty. We're now looking for aManager – Data Analytics & Insights to unlock opportunities hidden in the numbers and turn them into strategies that fuel expansion.

As theManager – Data Analytics & Insights , you will be responsible for building and optimizing data-driven frameworks that guide decision-making across Idealz. You'll analyze financial, operational, and customer data, design predictive models, and deliver insights that shape campaigns, customer engagement, and revenue strategy. This role is perfect for someone who thrives at the intersection of analytics and business strategy — able to zoom into the data while advising leadership at the highest level.

• Build and manage analytics frameworks, dashboards, and reporting systems for real-time business intelligence.
• Analyze customer behavior, campaign performance, and business KPIs to uncover growth opportunities.
• Develop predictive models and ROI-driven insights to optimize campaigns and product performance.
• Partner with product, marketing, and operations teams to ensure strategies are insight-backed and commercially impactful.
• Monitor key KPIs to drive improvements in conversion, retention, and overall revenue performance.
• Conduct competitive and market analysis to support innovation and expansion strategies.
• Present insights and recommendations to senior leadership, influencing strategic direction.
• Promote a data-first culture across the organization by empowering teams to make informed decisions.

• 6–10 years of experience in data analytics, business insights, or data science, ideally within B2C, retail, e-commerce, or tech-driven businesses.
• Strong skills inSQL, Python/R, and BI tools (Tableau, PowerBI, Looker, etc.) .
• Proven ability to translate large, complex datasets into actionable business strategies.
• Experience with predictive modeling, campaign analysis, and customer lifecycle analytics.
• Excellent communication and storytelling ability to influence both technical and non-technical stakeholders.
• Strong business acumen with a deep understanding of customer behavior, funnel optimization, and campaign ROI.
• Bachelor's/Master's degree inData Science, Statistics, Economics, Business Analytics, or a related field .

Initial screening with Global Head of HR

Second interview with Senior Manager – Strategy

Case study / business analytics assignment

Interview with General Manager

Final interview with CEO

Process typically concludes within 3–4 weeks.

AtIdealz Holding , you'll join a fast-paced, global team that thrives on innovation, data, and disruption. This role gives you the opportunity toshape the analytics backbone of a company reinventing retail on a global stage. You'll have thefreedom to experiment , thetools to deliver impact , and theplatform to influence strategy at the highest level .

We empower businesses in the digital economy and we know that every payment counts. Our Payment Performance teams mission is to manage and optimise merchants payment flow to achieve optimal conversion compliance and cost.

is looking for a Data Analytics Manager to join our Payment Success team to craft an all-encompassing payments strategy tailored specifically for our Tier-1 merchants. You will be the main point of contact for a merchant regarding their payment performance. You will play a critical role in defining delivering and building tools for the right insights to showcase the value of our optimal payment strategies.

You will work closely with Payment Performance engineers and data scientists leveraging cutting-edge technology and data insights. You will also collaborate regularly with other teams and cross-functional stakeholders to establish priorities and drive merchant performance improvements.

What youll be doing:

• Deliver expertise and guidance to our key merchants by crafting optimal payments strategy.
• Conduct deep-dive exploratory data analysis to uncover insights and anomalies
• Conduct experiments and A/B tests to improve performance including ML based solutions.
• Develop cutting-edge automation tools aimed at monitoring and optimising merchants performance.
• Implement robust measurements to assess how proposed solutions impact merchants performance and revenue providing valuable insights for both internal and external ROI.
• Collaborate with various teams across the company to ensure an outstanding merchant experience and feed requirements for product development
• Elevate internal awareness particularly within the executive team regarding the full spectrum of merchant services and benefits provided
• Drive a culture of cross-team learning and knowledge sharing

Qualifications :

• 5 years experience as data scientist working with large and diversified data sets
• Payments experience is mandatory for this role
• Bachelors degree preferably in Mathematics / Statistics / Computer Science / Engineering Finance or equivalent
• SQL/ Python knowledge to extract & analyse data from our Data Warehouse
• Experience with Git & Spark Databricks Retool API
• Ability to find creative and effective solutions for business problems
• Flexible adaptable and has a willingness to learn

Additional Information :

Apply without meeting all requirements statement

If you dont meet all the requirements but think you might still be right for the role please apply anyway. Were always keen to speak to people who connect with our mission and values.

We believe in equal opportunities

We work as one team. Wherever you come from. However you identify. And whichever payment method you use.

Our clients come from all over the world and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team well empower you to unlock your potential so you can do your best work. Wed love to hear how you think you could make a difference here with us.

We want to set you up for success and make our process as accessible as possible. So let us know in your application or tell your recruiter directly if you need anything to make your experience or working environment more comfortable. Well be happy to support you.

Take a peek inside life at via

• Our Culture video careers page LinkedIn Life pages Instagram Work :

  No

  Employment Type :

  Full-time

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.

We are seeking a skilled Data Analytics Specialist to analyze technology adoption patterns and drive business growth. The ideal candidate will have expertise in data science, mathematics, and engineering.

The successful candidate will be responsible for designing and conducting experiments with data visualization and insights into our target audiences. They will also collaborate with stakeholder teams to improve the data and tool ecosystem.

• Analyze data to identify trends and patterns
• Design and conduct experiments to drive business growth
• Develop and maintain systems for self-service access to data dashboards

• Background in data science, mathematics, or engineering
• Knowledge of advanced statistics and data sciences
• Expertise in data analytics and visualization tools

• Opportunity to work on challenging projects
• Collaborative team environment
• Professional development opportunities

This role offers a unique opportunity to apply data-driven insights to drive business growth. If you are passionate about data analysis and driven by results, we encourage you to apply.

This role is a prime opportunity to work as a skilled data & analytics professional with expertise in business intelligence visualization tools, ETL/integration tools, and data storage systems. Strong data governance, security awareness, and higher education domain knowledge are required to align business initiatives with institutional goals.

• Design, develop, and optimize interactive dashboards and reports.
• Integrate multiple data sources into Microsoft Power BI.
• Manage hybrid on-premise + cloud business intelligence ecosystems, including data governance and security considerations.
• Publish and share reports on Power BI Service and Power BI Embedded.
• Connect Power BI with various data sources and APIs.
• Ensure performance optimization and troubleshooting for Power BI dashboards and reports.
• Collaborate on enterprise reporting and self-service business intelligence initiatives.

• 5-7 years of experience in data visualization and business intelligence.
• Data understanding, analysis, and interpretation skills.
• Data modeling and DAX skills.
• Knowledge of data security and workspace management.
• Proficiency with various tools including Power BI Desktop, Power Automate, and Excel.