26 Data Analysts jobs in Dubai

Course: Effective Business Decisions Using Data Analysis

Dubai, Dubai Europeanqualitytc

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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.

This course will feature:
  • 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
What are the Goals? By the end of this course, participants will be able to:
  • 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.
Who is this Course for? This course is suitable to a wide range of professionals but will greatly benefit:
  • 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
How will this be Presented?

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.

The Course Content
  • 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
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Business Analysis and Data Analyst

Dubai, Dubai micro1

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Overview

Job Title: Business Data Analyst (Banking) - Digital Transformation

Job Type: Full-Time Contract (1 year, renewable)

Location: On-site, Dubai, Dubai, United Arab Emirates

Job Summary:

Join our team as a Business Data Analyst at the forefront of digital transformation within a leading UAE bank. In this pivotal role, you will bridge business stakeholders and technology teams, applying deep analytical expertise to drive insights, optimize processes, and elevate customer journeys across key digital banking initiatives. Embrace an asynchronous work culture that values exceptional written communication and proactive problem-solving.

Key Responsibilities
  • Elicit, analyze, and document business requirements, user stories, and process flows for digital projects.
  • Act as a key liaison between business units and technical teams to ensure clear understanding of project objectives.
  • Conduct gap analysis and impact assessments for new features and system changes within core banking functions.
  • Participate in Agile/Scrum ceremonies, including sprint planning, backlog grooming, and daily stand-ups.
  • Design and execute test scenarios, supporting user acceptance testing (UAT) and solution validation.
  • Write complex SQL queries to extract and analyze large datasets, generating actionable insights and KPI reports with Power BI.
  • Translate analytical findings into clear, data-driven recommendations and presentations for diverse stakeholders.
Required Skills and Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Finance, Business, or a quantitative discipline.
  • 5-9 years’ experience as a Business Analyst, with a strong background in Banking, Financial Services, or FinTech.
  • High proficiency in SQL and PL/SQL, with hands-on experience in Power BI for data visualization.
  • Proven experience working with core-banking systems and exposure to digital transformation projects.
  • Solid understanding of Agile methodologies (Scrum, Kanban) and expertise with JIRA.
  • Exceptional written communication skills, adept at working in asynchronous, collaborative environments.
  • Strong analytical and critical thinking abilities with excellent stakeholder management.
Preferred Qualifications
  • Relevant professional certifications (CBAP, PMI-PBA, Agile Scrum, Data Analytics).
  • Experience with data modeling, Python or R for advanced analytics, and systems like Flexcube or OFSAA.
  • Expertise in digital banking products, customer journey mapping, and process optimization.

Become part of our team and contribute to high-impact initiatives, working on projects that set industry standards and drive meaningful change. We foster an inclusive, high-performing culture offering career development opportunities, comprehensive benefits, and a collaborative environment to help you thrive.

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Data Analyst

Dubai, Dubai Antal International Network

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Job Description

Key Responsibilities:

  • Collect, compile, and validate data from multiple internal and external sources.

  • Prepare and maintain MIS reports on a daily, weekly, monthly, and quarterly basis.

  • Analyze trends, patterns, and anomalies in data to support business decisions.

  • Collaborate with department heads to understand reporting requirements.

  • Develop dashboards, charts, and visual reports to communicate findings effectively.

  • Ensure accuracy, consistency, and timeliness of all reports.

  • Identify opportunities for process improvement in data collection and reporting.

  • Assist in ad-hoc data analysis projects as required.

Required Skills & Qualifications:

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Finance, or related field .

  • Proven experience in MIS reporting and data analysis (2+ years preferred).

  • Strong proficiency in MS Excel, Power BI, Tableau, or other data visualization tools .

  • Knowledge of SQL or database management is an advantage.

  • Strong analytical and problem-solving skills.

  • Attention to detail with a commitment to data accuracy .

  • Good communication skills to present findings clearly to stakeholders.

Preferred:

  • Familiarity with ERP systems like SAP, Oracle, or Microsoft Dynamics.

What We Offer:

  • Dynamic work environment with opportunities for growth.

  • Exposure to cross-functional projects and data-driven decision-making .

  • Competitive salary and benefits package.

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Data Analyst

Dubai, Dubai DT One group.

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DT One operates a global network for mobile top-up solutions and innovative mobile rewards. By using smarter mobile technology solutions we enable more people in emerging economies to be more connected more often - so that no one is left out.

Through our network of over 1500 partners we interconnect over 550 mobile operators in 160 countries, with a market of more than five billion consumers.

We are headquartered in Singapore with regional offices in Barcelona, Dubai, London Manila and Miami.

DT One is committed to empowering people and businesses through accessible and reliable mobile top-ups and digital non-cash micropayments.As the communications and fintech landscapes evolve, DT One stands poised to play a pivotal role in shaping the future of cross-border micropayments and digital value payments.

We are seeking a highly motivated Data Analyst with strong data analysis skills. This role offers an exciting opportunity to work on an international stage, collaborate with renowned companies, and join a rapidly growing FinTech company that makes a real impact on the lives of people in developed and emerging markets. As a part of our friendly and collaborative team, you will contribute to supporting exciting projects. The role will be based in Singapore.

What you’ll do

  • Utilize data analysis techniques, technology, and data structures to identify relevant data sets and build KPIs
  • Work closely with Stakeholders to execute a data-driven approach using advanced visualizations to enhance risk and performance monitoring in the compliance program.
  • Extract, prepare, and model large, complex data sets, employing machine learning, mathematics, statistics, and programming.
  • Develop logical and physical data models, data modelling methodologies, metadata management, master data management, and data lineage techniques.
  • Collaborate with stakeholders to leverage predictive analytics, machine learning, and other advanced data science capabilities for compliance insights.
  • Provide business intelligence, analysis, and compliance-related information to refine regulatory and compliance policies, programs, processes, and tools.
  • Design analytics and business intelligence solutions to drive insights and support risk assessment, monitoring, and other compliance activities.
  • Create and implement interactive dashboards using visualization tools.
  • Develop scalable analytical and reporting solutions using SQL and other relevant tools
  • Communicate complex topics effectively to non-technical audiences.
  • Identify opportunities, provide analytics-based insights with actionable recommendations and develop innovative new tools for the compliance organization.
  • Perform other duties as assigned.

What we are looking for

  • Strong educational background, ideally a Master’s or BSc in a quantitative discipline (math, statistics, economics, computer science) from an accredited University or College.
  • 1-3 years of experience working with complex data sets, data modelling, or data science roles.
  • 2-4 years of experience with data scripting languages (e.g., SQL, Python, R).
  • 2-4 years of experience in data visualization, leveraging Tableau, Power BI, or similar platforms.
  • Demonstrated ability to manage key stakeholder relationships and prioritize tasks.
  • Broad understanding of business operations.
  • Superior communication, organization, presentation, and data visualization skills.
  • Excellent project management and time management skills.
  • Ability to generate and execute creative ideas.
  • Skill in tailoring content, presentation, and language to various audiences.
  • Ability to think creatively and implement practices that enhance efficiency and effectiveness.
  • Experience leveraging analytics to address risks.
  • Track record of successfully driving complex projects to timely completion.
  • Expert proficiency in all Microsoft Office Applications, particularly Excel, Word, and PowerPoint.

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Data Analyst

Dubai, Dubai FGi Solutions, LLC

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Position Reference No. FGI-PCRDA

Prepared on 12 th December 2024
Position: Data Analyst
Location: FGi Solutions Middle East Office, Dubai
Job Type: Full-time, 6-month probationary period with performance-based incentives

Job Description:
FGi Global Solutions is seeking a motivated and skilled Data Analyst to join our dynamic team in Dubai. This position focuses on data analytics and business intelligence to identify, assess, and prioritize business opportunities in government and international contracting sectors. The Data Analyst will play a crucial role in leveraging data to support the sales team’s decision-making process and ensure FGi’s competitive advantage in bidding for key projects.

Key Responsibilities:

  • Data Analysis: Analyze large datasets to identify trends, opportunities, and competitive intelligence in U.S., UN, and EU contracting markets.
  • Business Intelligence: Use analytics tools and platforms to gather insights that support the bid/no-bid decisions for key projects.
  • Opportunity Assessment: Evaluate and rank business opportunities by aligning them with FGi’s strengths, capabilities, and market positioning, and as well as assigning it to the sales team member aligning with their expertise and past performance.
  • Market Research: Conduct research on prospective clients, competitors, and industry trends to build comprehensive business intelligence reports.
  • Reporting & Dashboards: Create clear, actionable reports and dashboards that provide insights for decision-making by the sales and leadership teams.
  • Client Interaction: Engage with former/existing clients to gather insights on future needs and to inform bidding strategies.
  • Tool Utilization: Work with industry intelligence platforms and tools to track relevant government contracts and funding opportunities. FGi will provide training and support.

Training and Development: Participate in ongoing training to improve proficiency with data analytics tools and government contracting platforms.

Required Skills and Qualifications:

  • Some industry experience, preferably in data analytics, business intelligence, or government contracting.
  • Familiarity with data analysis techniques and tools (Excel, Power BI, or similar).
  • Understanding of business intelligence concepts and how to apply them in the capture process.
  • Basic knowledge of U.S., UN, or EU contracting regulations and processes.
  • Strong analytical thinking and problem-solving skills to identify opportunities and risks.
  • Excellent communication skills to present data-driven insights and work collaboratively with internal teams.
  • Knowledge of French is a plus but not required.

Skills to Develop:

  • Deepen understanding of FGi’s business strengths and offerings through data analysis.
  • Build expertise in using analytics tools to drive capture success.
  • Learn and grow within a business intelligence role by collaborating closely with FGi’s sales, management, and operations teams.

Behaviors (Values in Practice):

Accountability:

  • Holds self-accountable for making decisions, managing resources efficiently, achieving and role modeling FGi Solutions Values.
  • Holds the team and partners accountable to deliver on their responsibilities – giving them the freedom to deliver best way they see fit, providing the necessary development to improve performance, and applying appropriate consequences when results are not achieved.

Ambition:

  • Widely shares his/her personal vision for FGi Solution, engages and motivates others.
  • Future oriented, this strategically and on a regional scale.

Collaboration:

  • Builds and maintains effective relationships, with the colleagues, managers, and other external suppliers, vendors, agents, and customers.
  • Values diversity sees it as a source of competitive strength.
  • Approachable, good listener and easy to talk to.

Creativity:

  • Develops and encourages new and innovative solutions.
  • Willing to take disciplined risks.

Integrity:

  • Honest, encourages openness and transparency, demonstrates highest levels of integrity.

Benefits:

WHAT DOES FGI HAVE TO OFFER?

With a genuine culture of recognition, we want our employees to grow, develop and be part of our journey. We offer a benefits package with a focus on your well-being. This includes competitive Salary, Incentive, and annual bonus.

We are a team in every sense, and we support each other and work as cohesive team to achieve our goals. Our goal is that you will be compensated for your hard work and commitment, so if you’d like to work for one of the top Supply Chain Solutions providers, let’s work together to help you find your new role.

Some of our Benefits look like:

  • Great Remuneration
  • Rewards & Recognition (Performance Basis)
  • Growth & Excellence
  • Supportive Team and Management
  • Great Networking Opportunities
  • Bustling Work Location

Who We Are:

Headquartered in the United States, with operations in Africa, the Middle East, East Europe, and Asia, expeditionary solutions provider with a long record of success. Built on a legacy family business, FGi has grown from a trading corporation into a Global Contingency Operations support enterprise.

FGi field operations utilize local personnel and expertise wherever possible, thus supporting local communities and bolstering fragile economies while offering cost-effective services to our clients.

FGI has been recognized by ISOA for the 2022 Global Impact Award, achieved and maintained the 2022 Women, Peace, and Security (WPS) Program and ISO 9001:2015 quality system certifications, and meets multiple customer quality standards.

To learn more about us, visit our websites: /

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Data Analyst

Dubai, Dubai Ines Partners

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We're Hiring: Data Analyst – Dubai

Join Ines Partners as a Data Analyst! If you have a knack for turning data into actionable insights and love driving business results, we want you on our team!

Location : Dubai

Responsibilities :

  1. Collect, process, and analyze large data sets to uncover trends, patterns, and actionable insights for decision-making.
  2. Develop clear, visually compelling dashboards and reports to present data-driven insights to business stakeholders.
  3. Ensure accuracy and integrity in data collection, storage, and analysis; continuously improve data management practices.
  4. Work cross-functionally with teams to align on goals, improve data processes, and drive business strategies through data insights.
  5. Identify opportunities for process improvement through data analysis and work to streamline and enhance reporting accuracy.

What We’re Looking For :

  1. 5+ Years of Experience as a Data Analyst or in a similar role.
  2. Bachelor’s Degree in Data Science, Statistics, Economics, or a related field.
  3. Proficient in SQL, Excel, and data visualization tools like Power BI or Tableau. Python or R knowledge is a bonus!
  4. Strong Analytical Skills: You have a natural ability to transform complex data into simple, clear insights.
  5. Communication Skills: Comfortable presenting data insights to all levels of the organization.

Why Work With Us?

At Ines Partners, you’ll be joining a forward-thinking team that values innovation and data-driven solutions. We offer a supportive work environment and opportunities for professional growth in the ever-evolving field of data analytics.

Apply Now and be part of a team that's shaping the future with data insights!

For inquiries, please contact:

For more information, visit our website:

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Data Analyst

Dubai, Dubai Avarglobal

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Job Description

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Data Analyst

Dubai, Dubai Emirates Auction

Posted 2 days ago

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Job Description

The Role
• Analyze datasets to identify trends, patterns, and correlations. • Develop and maintain dashboards, reports, and visualizations for business stakeholders. • Work with cross-functional teams to understand business needs and provide data-driven solutions. • Monitor key performance indicators (KPIs) and generate insights to optimize business performance. • Use statistical methods and tools to interpret data and generate actionable insights. • Support data governance, quality standards, and best practices in data management. • Automate repetitive reporting tasks to improve efficiency. • Present findings and recommendations in a clear and concise manner to both technical and non-technical audiences.

Requirements
• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or related field. • Bilingual – English & Arabic • Proven experience as a Data Analyst or in a similar role. • Strong proficiency in SQL for querying databases. • Experience with data visualization tools (e.g., Power BI, Tableau, Qlik, Looker). • Proficiency in Excel for data manipulation and reporting. • Familiarity with programming languages such as Python or R for data analysis. • Strong analytical and critical thinking skills. • Excellent communication and presentation abilities. • Attention to detail and strong problem-solving skills.

About the company
Emirates Auction L.L.C. is a leading UAE-based auction company in the Middle East. Founded in 2004, the company specializes in automobiles, vehicle license plates, real estate and properties, asset liquidation, VIP mobile numbers, jewelry, time-sensitive items, and heavy machinery, plant and construction equipments. Emirates Auction has achieved numerous milestones in a short span of time since its establishment, breaking seven (7) Guinness World Records along the way and giving its clients from the government and private sectors higher returns for their actionable items and unrivaled customer service.
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Junior Data Analyst

Dubai, Dubai Social Pet Hotel and Daycare

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Junior Data Analyst (BI Tools, Python and R)

Posted 2 days ago

Junior Data Analyst (BI Tools, Python and R)

Dubai, AE

Junior

Salary Range: To be discussed

Full Job Description

Summary

Junior Data Analyst : Role in a leading hospitality group in Dubai, managing data with BI tools, ensuring accuracy, and creating visual reports. Bachelor's degree and 2 years' experience required.

Job Description:

Position Title: Junior Data Analyst (BI Tools, Python and R)

Employment Type: Full Time

Salary: up to 8.5K AED depending on experience and qualifications plus uniforms and duty meals

Job Location: Dubai, UAE

About the Client:
A top-tier Hospitality & Leisure group rooted in Dubai, known for its exquisite offerings and unmatched service.

Responsibilities:

  1. Ensure data accuracy, consistency, and quality by cleaning and preprocessing raw datasets.
  2. Assist in creating interactive dashboards and visual reports using BI tools like Tableau or Power BI.
  3. Collaborate with senior data analysts and business stakeholders to understand their data needs.
  4. Create and present clear, compelling visualizations to represent key business metrics and data insights.

Requirements Qualifications:

  1. Open to Asian nationalities, 38 years old and below
  2. Bachelor’s degree in Engineering, Data Science, Data Analytics or any relevant field
  3. At least 2 years relevant experience in hospitality industry
  4. Must have experience in BI tools (Power BI / Tableau), Excel, Python and ‘R’, and e-commerce platform

About the Company:
RTC-1 Employment Services is a licensed recruitment firm based in Dubai, UAE. Our team has been in the market since 2004 and we are supporting various industries with their staffing needs across the Middle East and Africa.

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Junior Data Analyst

Dubai, Dubai Social Pet Hotel and Daycare

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Junior Data Analyst (BI Tools, Python and R)

Posted 2 days ago

Junior Data Analyst (BI Tools, Python and R)

Dubai, AE

Junior

Salary Range: AED 102,000 - AED 102,000

Full Job Description

Summary

A top-tier hospitality group in Dubai seeks a Junior Data Analyst skilled in BI tools, Python, and R. Salary up to 8.5K AED; full-time role focused on data accuracy and visualization.

Description

Position Title: Junior Data Analyst (BI Tools, Python and R)
Employment Type: Full Time
Salary: up to 8.5K AED depending on experience and qualifications plus uniforms and duty meals
Job Location: Dubai, UAE

About the Client: A top-tier Hospitality & Leisure group rooted in Dubai, known for its exquisite offerings and unmatched service.

Job Description:

  • Ensure data accuracy, consistency, and quality by cleaning and preprocessing raw datasets.
  • Assist in creating interactive dashboards and visual reports using BI tools like Tableau or Power BI.
  • Collaborate with senior data analysts and business stakeholders to understand their data needs.
  • Create and present clear, compelling visualizations to represent key business metrics and data insights.

Requirements

Qualifications:

  • Open to Asian nationalities, 38 years old and below
  • Bachelor’s degree in Engineering, Data Science, Data Analytics or any relevant field
  • At least 2 years relevant experience in hospitality industry
  • Must have experience in BI tools (Power BI / Tableau), Excel, Python and R, and e-commerce platform

About the company

RTC-1 Employment Services is a licensed recruitment firm based in Dubai, UAE. Our team has been in the market since 2004 and we are supporting various industries with their staffing needs across the Middle East and Africa.

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