40 Tableau Developer jobs in the United Arab Emirates

The Director of Data Analysis is responsible for collecting, processing, and analysing real estate data from various sources, with the aim of providing accurate, data-driven insights that support strategic decision-making in the real estate sector in United Arab Emirates. The role focuses on enhancing market transparency, developing sector-wide performance indicators, and supporting policy formulation and investment planning based on data.

Responsibilities

• Collecting and analyzing real estate data from multiple sources
• Processing and cleaning data to ensure its accuracy, consistency, and readiness for analysis
• Analyzing real estate data to extract and update the real estate index, which enhances market transparency
• Preparing reports and dashboards to support strategic decision-making
• Developing sector performance indicators (e.g., price indices, supply and demand, occupancy rates, etc.)
• Supporting policy development and investment planning by providing data-driven recommendations
• Contributing to real estate market studies and identifying market trends to support and update strategic urban development plans
• Collaborating with government entities and investors to provide transparent and accurate insights into the real estate market

Requirements

• Bachelor's degree in Economics, Statistics, Business Administration, Data Analysis, or a related field.
• 5 years of experience in data analysis or market research, with knowledge of the real estate market.
• Certifications in data analysis or economics are not required but are preferred
• Certifications in Data Analysis, such as RICS or CF

We are seeking a skilled professional to lead our data analysis team. As a Lead Data Analyst, you will be responsible for overseeing a team of analysts and collaborating with developers and stakeholders to ensure software meets business needs.

• Manage a team of data analysts
• Create data marts and data lakes using mappings
• Design user interfaces and dashboards for data visualization and interaction
• Test and validate software and data products for accuracy and reliability

• Bachelor's or master's degree in Computer Science, IT, or related field
• Experience with data processing and analysis using Data Bricks
• Expert-level proficiency in SQL, Python, SAS/R, Spark
• Deployment experience in databases, server/cloud environments (AWS, Azure), APIs, ODBCs, web apps

• Career Growth: Opportunities for professional development and advancement
• Performance-Based Compensation: Competitive pay linked to performance
• Inclusive Culture: Join a collaborative team that values innovation and every voice

This is an exciting opportunity to work with a talented team and contribute to our success.

Effective Business Decisions Using Data Analysis

ID 257

Course: Effective Business Decisions Using Data Analysis

This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.

• Discussions on applications of data analytics in management
• The importance of data in data analytics
• Applying data analytical methods through worked examples
• Focusing on management interpretation of statistical evidence
• How to integrate statistical thinking into the work domain

• Explain the scope and structure of data analytics.
• Apply a cross-section of useful data analytics.
• Interpret meaningfully and critically assess statistical evidence.
• Identify relevant applications of data analytics in practice.

• Professionals in management support roles
• Analysts who typically encounter data/analytical information regularly in their work environment
• Those who seek to derive greater decision-making value from data analytics

This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context.

• Day One: Setting the Statistical Scene in Management
  • Introduction; The quantitative landscape in management
  • Thinking statistically about applications in management (identifying KPIs)
  • The integrative elements of data analytics
  • Data: The raw material of data analytics (types, quality, and data preparation)
  • Exploratory data analysis using Excel (pivot tables)
  • Using summary tables and visual displays to profile sample data
• Day Two: Evidence-based Observational Decision Making
  • Numeric descriptors to profile numeric sample data
  • Central and non-central location measures
  • Quantifying dispersion in sample data
  • Examine the distribution of numeric measures (skewness and bimodal)
  • Exploring relationships between numeric descriptors
  • Breakdown analysis of numeric measures
• Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
  • The foundations of statistical inference
  • Quantifying uncertainty in data – the normal probability distribution
  • The importance of sampling in inferential analysis
  • Sampling methods (random-based sampling techniques)
  • Understanding the sampling distribution concept
  • Confidence interval estimation
• Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
  • The rationale of hypotheses testing
  • The hypothesis testing process and types of errors
  • Single population tests (tests for a single mean)
  • Two independent population tests of means
  • Matched pairs test scenarios
  • Comparing means across multiple populations
• Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
  • Exploiting statistical relationships to build prediction-based models
  • Model building using regression analysis
  • Model building process – the rationale and evaluation of regression models
  • Data mining overview – its evolution
  • Descriptive data mining – applications in management
  • Predictive (goal-directed) data mining – management applications

About the opportunity

The Growth Data Science Director will lead and accelerate growth strategies across marketing optimization, product initiatives (e.g., churn reduction), ecosystem plays, and ads revenue for talabat and Quick commerce. This role requires collaboration with product teams, senior marketing, and partner leadership to drive data-driven decisions and business growth.

What’s On Your Plate?

• Data Science: Define and execute data strategies aligned with company goals, leading cross-functional teams to develop innovative data-driven products and insights that impact business outcomes.
• Strategic Leadership and Business Acumen: Demonstrate strategic leadership, articulate vision, and incorporate emerging trends and technologies to add value.
• Collaboration and Influence: Work with stakeholders including executives, product managers, engineers, and external partners; represent the organization at industry events.
• Resource Management: Manage teams, budgets, and resources; prioritize projects; coach and mentor managers.
• Strategic Hiring and Talent Development: Recruit, develop career paths, and provide feedback to team members.
• Organizational Change Management: Lead change initiatives, communicate effectively, and manage resistance.

What you need to be successful

• 8-10+ years in data science, with leadership experience in managing teams or consulting.
• Ph.D. or Master’s in relevant fields such as computer science, statistics, or data science.
• Proven leadership in fostering high-performance teams and applying data science skills to create impactful products and insights.
• Deep knowledge of statistics, causality, experimentation, and modeling.
• Business acumen with experience in quantifying impact through data initiatives.
• Strategic thinking and ability to develop data-driven roadmaps aligned with organizational goals.

Who we are

Since 2004, talabat has been Kuwait’s leading on-demand food and Q-commerce app, serving eight countries. We leverage technology to simplify life, optimize operations, and provide earning opportunities. We foster a high-performance culture, value authenticity, and are proud of our awards and diverse team of over 6,000 Talabaty committed to making a difference.

dmg events is an international exhibitions and publishing company. We attract more than 425,000 visitors to our global portfolio of 80 exhibitions each year. Through our global events, our aim is simple. We want to accelerate business through face-to-face events, which is why we work so hard to bring people together, creating opportunities for them to network, learn and do business. dmg events is part of the Daily Mail Group Trust (DMGT). DMGT Manages a diverse, multinational portfolio of companies with total revenues of £2bn, that provide businesses and consumers with compelling information, analysis, insight, events, news and entertainment.

Role Overview
We are looking for a highly skilled Business Intelligence Developer to elevate the data reporting and analytics landscape across our events portfolio. This role will be central to enhancing our Power BI ecosystem, building intuitive dashboards, and embedding a culture of self-service analytics across commercial, operations, and marketing teams.

In this position, you’ll partner with cross-functional stakeholders to understand reporting needs, develop scalable BI solutions, and enable business users to derive insights independently. You’ll work with data from Redshift, Salesforce, and other business platforms to ensure accuracy, relevance, and impact.

Key Responsibilities:

Dashboard Development & Data Visualization

• Design and build user-friendly dashboards in Power BI for various departments.
• Create reports aligned with key business KPIs and ensure responsiveness across devices.
• Apply best practices in UI/UX to enhance dashboard usability and adoption.

Stakeholder Collaboration & Self-Service Enablement

• Work closely with commercial, ops, marketing, and product teams to gather requirements.
• Help non-technical users navigate and use dashboards effectively through training and support.
• Translate strategic goals into reporting outcomes that drive action.

Data Quality & Query Optimization

• Write and optimize SQL queries for data extraction, transformation, and analysis.
• Troubleshoot data issues and reconcile discrepancies with upstream sources.

BI Platform Management & Governance

• Manage Power BI workspace, access control, and dataset refresh scheduling.
• Collaborate with data engineering on improvements to the underlying Redshift models.
• Ensure data models are clean, scalable, and easy to use.

Automation & Insight Delivery

• Identify opportunities for automation of recurring reports and data tasks.
• Explore AI-enhanced BI features (summarization, natural language Q&A, etc.) where appropriate.

Documentation & Support

• Document datasets, KPIs, data definitions, and report usage instructions.
• Assist with troubleshooting report issues and ensure consistent business logic.

Requirements:

• Must-Have Skills
• 5+ years of experience in BI/reporting roles.
• Deep hands-on expertise with Power BI: DAX, Power Query, data modeling, workspace management.
• Strong SQL skills with experience querying cloud data warehouses (e.g., Amazon Redshift).
• Experience working with data from CRM and event management systems (e.g., Salesforce).
• Proven ability to communicate with non-technical users and turn requests into effective dashboards.
• Strong project management skills to manage cross-departmental initiatives.

Nice-to-Have

• Experience with Customer Data Platforms (CDPs), GA4, or web analytics tools.
• Familiarity with tools like Power Automate or AI Copilot in Power BI.
• Experience in the events, exhibitions, or media industry is a plus.

What We Offer

• A chance to take ownership of a growing BI ecosystem and define how the business consumes data.
• Exposure to enterprise tools like Redshift, Salesforce, and GA4 in a cross-functional environment.
• A collaborative work environment that values innovation and curiosity.
• Competitive salary, performance bonus, and employee benefits.

"Please take the time to read the job description, you must meet all the criteria set out above for your application to be considered. We do check all applications and suitable candidates will be contacted within 5 days. If you are not contacted by us within 5 working days, please consider your application unsuccessful at this time."

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Career Area:

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar yourejoining a global team who cares not just about the work we do but also about each other. We are the makers problem solvers and future world builders who are creating stronger more sustainable communities. We dontjust talk about progress and innovation here we make it happen with our customers where we work and live. Together we are building a better world so we can all enjoy living in it.

EAME Distributions mission is to deliver superior customer experience profitable market leadership and services growth through industry-best distribution performance. We provide governance and administration of Cat dealers across Europe Africa the Middle East and Eurasia.

We have an exciting opportunity for a Business Intelligence Analyst. You will support the EAME region and EAME leadership team with business insights and analytics on key Services Growth and Governance topics.

Job Duties/Responsibilities may include but are not limited to:

• Transform data & analytics into business definition of Winning;
• Drive data efficiencies through automation & collaboration with Industry partners including Cat Digital;
• Provide detailed analysis in support of strategic decision making across EAME;
• Deliver analysis & visualization for strategic governance meetings and projects across EAME (e.g. SGP Reviews Monthly Results Executive Office Reviews Leadership Table Standard work Dependencies and other leadership meetings);
• Develop key analyses & visualization in support of EAME Must Wins / Operational Breakthroughs;
• Meet with key subject matter experts understand their challenges and dive into analyses in support of EAME-wide topics;
• Candidate must demonstrate strong accuracy and attention to detail;
• Candidate must demonstrate ability to work independently and ensure data quality;
• Candidate must demonstrate strong leadership attribute: intellectual curiosity.

Qualifications & Requirements:

• Bachelors degree or higher from an accredited institution
• Strong data analysis and visualization skillset (e.g. PowerBI Excel SQL queries).

Preferred Qualifications Competencies:

• Preference for candidates with a deep understanding of data sources and managing of data through various platforms (e.g. Dashboards Snowflake).
• Looking for strong problem solving collaboration intellectual curiosity.
• Ability to distil high level communication into meaningful context and actions.

• Consistently meeting ambitious deadlines and deliver high-quality work on schedule.
• Ability to navigate and influence in a large matrix organization.
• Maintains positive and can-do attitude and approach to work.
• Able to effectively communicate in multiple and/or complex environments.

Skill Descriptors:

Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.

Effective Communications: Understanding of effective communication concepts tools and techniques; ability to effectively transmit receive and accurately interpret ideas information and needs through the application of appropriate communication behaviors.

Business Data Analysis: Knowledge of business data analysis; ability to collect identify analyze and interpret business data using various kinds of techniques to meet business needs and requirements.

Please note: No Relocation / payroll transfers / ISE are offered with this role

What we offer:

From day one youre set up to thrive at Caterpillar: helpful training relatable mentors global experience competitive salary package work-life balance and the growth opportunities you expect with a Fortune 100 company.

You power our success and we are committed to empowering yours. After all when your work can impact the entire world its important to do work that matters.

Caterpillar Inc. is the worlds leading manufacturer of construction and mining equipment off-highway diesel and natural gas engines industrial gas turbines and diesel-electric locomotives. For nearly 100 years weve been helping customers build a better more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services backed by our global dealer network provide exceptional value that helps customers succeed.

We value authenticity and encourage candidates to submit original personally crafted responses throughout our hiring process. Use of AI-generated content may disadvantage your application.

Posting Dates:

Caterpillar is an Equal Opportunity Employer.

Not ready to apply Join our Talent Community.

Required Experience:

IC

We are seeking an accomplished Business Intelligence Specialist to spearhead data-driven initiatives within the MENA region.

This critical role involves collaborating with cross-functional teams to identify and analyze complex business challenges, develop actionable insights, and implement data-driven solutions.

Key responsibilities include:

• Analyzing and solving business problems at their root
• Developing customer insights and business opportunities through data mining and model building
• Managing entire projects from start to finish

Basic qualifications include 3+ years of experience in analyzing and interpreting data, proficiency in data visualization, data modeling, warehousing, and ETL pipelines, as well as experience with statistical analysis packages and SQL.

A successful candidate will possess a strong analytical mindset, excellent problem-solving skills, and the ability to communicate complex ideas effectively to both technical and non-technical stakeholders.

The ideal candidate will be highly motivated, result-driven, and passionate about delivering high-quality results in a fast-paced environment.

We offer a dynamic work environment that fosters collaboration, innovation, and growth. If you are a seasoned professional looking for a challenging role that leverages your expertise, we encourage you to apply.

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

We’re looking for a Lead, Business Intelligence Engineer to join Team Snapchat! Working closely with the Sales team, you will be tasked with helping us unlock revenue and drive category growth by uncovering actionable insights - identifying aggregate vertical trends in addition to doing in-depth client analysis.

What you’ll do:

• Understanding challenges the business faces and helping them to make decisions based on data driven insights by collating and analyzing information from multiple sources and a logical and coherent story.

• Understand the business challenges and needs to help leadership make data driven decisions by analyzing and combining data across multiple sources.

• Identify performance trends across auction campaigns to fuel optimization recommendations; evangelize best practices across the account management group

• Use data and logic to impact client and business success by providing analysis, insights,reports and actionable recommendations

• Partner with cross-functional teams to build out measurement agendas/strategies, provide data based insights for products in alpha or beta, and deliver feedback on data tools in development. .

• Distill complicated analytical concepts for broader audiences and be able to influence their decision making through a data story

• Build and maintain dashboards and reports to help the business understand and optimize advertiser performance and product development through a client-centric lens.

• Proactively identify projects that impact revenue, defines scope and objectives, and proposes a course of action required to attain objectives

• Work closely with Revenue programs team to support various treatments by providing actionable data insights

• Partner with Revenue strategy on understanding growth levers to drive revenue growth

• Function as a thought leader, offering insights related to vertical or category industry trends in order to inform or strengthen Snap’s in-market pitch.

Minimum qualifications:

• Bachelor’s degree in computer science/economics/mathematics or equivalent preferred

• 6+ years experience in quantitative analysis and research

• Proficiency in sql and python/R for analysis and data visualization

Preferred qualifications:

• Data driven and analytical mindset

• Strong attention to detail and organizational

• Ability to work in an agile, dynamic environment

• Ability to work individually while operating as a collaborative team player

• Are able to grasp business problems and design technical data-based solutions that are implementable,efficient and scalable

• Experience in performing analysis on big data sets and coming up with actionable insights

• Comfortable in interpreting complex data signals and presenting to technical and non-technical audiences

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Qualifications: Bachelor's in Computer Applications (Computers)

Nationality: Any

Vacancy: 1

The Role: We are looking for a Business Intelligence - Pricing Specialist who is obsessed with numbers, allergic to copy-paste strategies, and curious about how pricing can drive revenue, demand, and market dominance. This is not a typical hotel revenue manager role. If your last job was at a traditional hotel chain and all you did was adjust BAR rates, this probably isn't for you.

You will build and lead Stella’s pricing engine across all markets, report directly to the CEO, and work closely with sales, marketing, and tech teams. You’ll be hands-on, analytical, and experimental, constantly testing, adjusting, and learning what works in each market.

Bonus points if you are already using ChatGPT, Excel wizardry, or other AI tools to work smarter. We like people who push the edge of what’s possible.

• Own and evolve our pricing strategy for short- and long-term stays
• Analyze data, trends, booking pace, and competitor behavior
• Design pricing experiments (early bird offers, last-minute drops, bundling, etc.)
• Build dashboards, uncover insights, and make bold recommendations
• Work directly with the CEO to define revenue goals and growth levers
• Collaborate with sales and marketing teams on seasonal and tactical campaigns
• Drive automation and optimization through our internal PMS

• 3-7 years in pricing, business analytics, or strategy (travel, e-commerce, real estate, or tech)
• Exceptional with Excel/Sheets; bonus for SQL, Python, or AI tool experience
• Curious about OTA mechanics (Airbnb, Booking.com, Expedia, etc.)
• Creative thinker who isn’t afraid to test, fail, and improve fast
• Strategic mindset with the discipline to execute daily
• Strong communicator confident to challenge ideas and lead decisions

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