297 Data Analyst jobs in Dubai
Business Intelligence Data Analyst
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Our organization is a rapidly growing, global fintech that helps institutional investors and investment managers meet data exchange, monitoring, risk management and compliance needs at every stage of the investment lifecycle.
We are seeking a motivated and detail-oriented data analyst to join our team. This role is ideal for someone with 2 to 4 years of experience in data analysis, business intelligence, or related roles. You will assist in developing dashboards, analysing data, and supporting the reporting needs of both internal teams and clients.
You will work alongside senior analysts and developers, helping to translate business requirements into actionable insights, build visualizations, and maintain data processes.
Key responsibilities and duties:
- Support the design and maintenance of BI dashboards and reports in Tableau, Power BI, or similar tools.
- Assist in collecting and analysing business requirements from internal stakeholders.
- Perform data extraction, cleaning, and transformation using SQL and other tools.
- Maintain technical documentation for reporting processes and dashboards.
- Collaborate with the engineering and data teams to ensure data accuracy and consistency.
- Help investigate and resolve data-related issues and inconsistencies.
- Participate in testing and validation of BI solutions.
- Create simple user guides and walkthroughs for internal and client-facing reports.
Required skills and qualifications:
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related fields.
Benefits:
- 2 to 4 years of experience in data analysis, reporting, or business intelligence roles.
- Hands-on experience with BI tools such as Tableau, Power BI, or equivalent.
- Good working knowledge of SQL for querying and manipulating data.
- Strong attention to detail with an analytical mindset, combined with a passion for crafting visually compelling dashboards that convey data accurately and support storytelling and user engagement.
- Excellent soft skills and a demonstrated ability to multitask and manage time efficiently.
- Comfortable working in a fast-paced environment and open to flexible hours to coordinate with global teams.
- Exposure to data warehousing concepts and cloud platforms (e.g., Fabric, Redshift, BigQuery, or Azure Synapse) is a plus.
- Familiarity with data modeling, ETL processes, and basic scripting (Python or R is a plus).
Additional details:
- The above specifications are not intended to reflect all duties to be performed within the job. The incumbent may be required to perform additional duties or projects either arising from the scope of the position or based on our overall business needs.
- Entry level
- Full-time
- Research, Analyst, and Information Technology
- Software Development
Business Intelligence / Data Analyst | Emirati Talent
Posted 5 days ago
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Join to apply for the Business Intelligence / Data Analyst | Emirati Talent role at Majid Al Futtaim.
Job Title: Business Intelligence / Data Analyst | Emirati Talent | MAF Future Solutions | Customer Marketing & Brand/Customer Marketing Management/Senior Professional
Role Summary: The Business Intelligence / Data Analyst is responsible for planning, coordinating, and executing activities related to building and managing organizational reports and analytics. This includes developing and maintaining dashboards, reports, data cubes, and the data warehouse. The role requires strong communication, problem-solving, and analytical skills to address reporting and data-related needs, experience with enterprise data tools, and the ability to work proactively with stakeholders.
Role Profile:
- Proven experience in data analysis and mining using SQL and DAX
- Proficient in Power BI for data visualization and dashboard development
- Hands-on experience with SSIS and managing data integration workflows
- Ability to translate business needs into technical solutions with strong analytical thinking
- Knowledge of data warehousing, reporting infrastructure, and data governance best practices
- Exposure to big data tools (e.g., Kafka, S3, Python) and experience analyzing consumer datasets (e.g., segmentation, CLV, loyalty) is a plus
Requirements:
- Bachelor’s degree in Computer Science, Business, or a related field
- 3-4 years of experience in analytics, BI, or similar roles
- Familiarity with product analytics, including GA datasets and app funnel reporting
- Ability to derive and present actionable insights through effective visualizations
- Strong understanding of BI concepts, with the ability to communicate them to varied audiences
- Experience in data modeling, metadata structures, and working with BI/ERP systems is preferred
What We Offer:
- At Majid Al Futtaim, we’re on a mission to create great moments, spread happiness, and build memorable experiences. Join us!
- Work in a friendly environment with positive vibes and a shared future vision.
- Collaborate with over 45,000 diverse and talented colleagues, guided by our Leadership Model.
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Information Technology
- Industries: Retail
Referrals increase your chances of interviewing at Majid Al Futtaim by 2x.
#J-18808-LjbffrReporting Data Analyst
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We are seeking a skilled professional to transform complex construction data into actionable insights. If you have a passion for data analysis and experience in the infrastructure or construction sector, this role is ideal for you.
About the Job:The Reporting Specialist will design and build interactive dashboards and reports using Power BI and other Microsoft Office tools (Excel, Access, etc.). The successful candidate will collect, clean, and organize data from different sources to ensure accuracy and reliability. They will develop data models and calculations to support reporting needs, provide regular and ad-hoc reports to management and project teams, and support users with training and troubleshooting for dashboards and reports. Additionally, they will document data sources, reporting processes, and user guides as needed.
Requirements:- Bachelor Degree/Diploma or proven experience in data analysis or reporting (any industry, construction/infrastructure preferred)
- Advanced Power BI skills: experience with Power Query and Power Automate is an advantage
- Proficiency in Microsoft Excel and other Office applications
- Previous experience developing reports or dashboards for business use
- Good understanding of project management, construction, or infrastructure sector preferred
- Strong communication skills; ability to explain data to non-technical users
- Opportunity to work with complex construction data and transform it into actionable insights
- Chance to develop and improve your data analysis and reporting skills
- Collaborative and dynamic work environment
- Ongoing training and support to enhance your skills
Data Analyst
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Rizek is the UAE's first local super app, connecting users with all kinds of home services with the click of a button. Through our app, users can request services from a variety of categories including home care, car services, beauty, healthcare and more. Rapidly expanding throughout EMEA.
What we're looking for?
We're looking for a Data Analyst to join the Growth team to support projects and processes throughout the business through delivering data driven insights.
A typical day could include reviewing user data to optimise our retention systems, building dashboards that help our product team to understand usage, liaising with data engineers to resolve data accuracy issues or onboard new martech tools, and modelling data for our finance team.
In this role, you will have the opportunity to touch every aspect of our business, driving data analysis and insights to help develop a wide range of high priority projects. You should be a self-starter who is customer centric, and passionate about seeing your analyses have a tangible business impact.
What you'll be doing?
- Embark on data analysis projects to discover opportunities for growth and optimization across marketing, finance, product, and business processes.
- Be the key person in the business for data and reporting.
- Help with the design and measurement of experiments, analyse the resulting data and communicate results and next steps with other teams.
- Productize your analysis in dashboards and reports for the teams to self-service.
- Liaise with tech and engineering teams to monitor and ensure data quality.
Who you are?
- Bachelor's degree with 1-3 years of hands-on experience in analytics.
- Highly motivated and would enjoy working in a fast-paced, enthusiastic start-up environment.
- Strong analytical skills – creative problem solver that can run analysis using different sources of information and deliver comprehensive, balanced & impactful analysis.
- Proficiency with SQL and relational databases.
- Familiarity with visualization tools (e.g. Tableau, Looker, Data Studio).
- Familiarity with a language to create reproducible analysis, from data manipulation to plotting (R or Python)
- Exposure to statistical methods like cluster analysis, regression models etc.
- Comfortable analysing in Excel, including manipulating data and visualization
Awesome to have:
- Familiarity with AWS & BigQuery platform
- Familiarity with Data Warehousing
- Familiarity with app and web analytics, and attribution
- Familiarity with product usage analysis
- Keen interest in pushing insights forward into action
If you think you have what it takes to take on this awesome challenge and have a growth mindset like us, then we'd love to meet you
#J-18808-LjbffrData Analyst
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Required
Minimum 3 years as a Data Analyst, Reports Analyst, Business Analyst, or related role involving data reporting / science
Hands-on experience converting PDFs into spreadsheets as part of reporting workflows
Proven experience working with college admissions data, high school transcripts, or GPA calculations
Advanced Excel Skills including formulas, pivot tables, and data visualization
Strong analytical skills with attention to detail and ability to identify edge cases
WFH Set-Up
Computer with at least 8GB RAM, an Intel i5 core processor / AMD Ryzen 5 Processor and up.
Internet speed of at least 40MBPS
Headset with an extended mic that has noise cancellation and a webcam
Back-up computer and internet connection
Quiet, dedicated workspace at home
Your Superpowers
Expertise in Excel (formulas, pivot tables, charts)
Skilled in data extraction and transformation from complex documents (PDFs to spreadsheets)
Strong written communication skills for clear documentation and collaboration
Ability to learn quickly, work independently, and manage time effectively
Detail-oriented mindset with a passion for data accuracy and quality
Collaborative attitude with experience working cross-functionally
You should apply if…
You take pride in delivering error-free, high-quality work consistently
You enjoy working with educational data and complex workflows
You thrive in fast-paced, dynamic environments and can adapt to evolving requirements
You value clear communication and process-driven work
You are self-motivated and comfortable working full-time on Eastern Time business hours
What to expect.
Work Setup
Remote position
Must have a reliable internet connection and a quiet workspace
Required to provide own computer with Intel Core i5 or something similar or higher operating system
Working Hours
40 hours per week
Monday to Friday, 9 AM to 5 PM Eastern Time
Compensation
7 per hour
No benefits package included
Benefits
Candidates should have a minimum of 3 years of experience in data analysis or related roles, with hands-on experience in converting PDFs to spreadsheets.
Advanced Excel skills and strong analytical abilities are essential for this position.
#J-18808-LjbffrData Analyst
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We are seeking a detailoriented and highly skilled Data Analyst to join our team. The Data Analyst will oversee our data systems ensuring data integrity accuracy and reliability. This role requires transforming raw data into structured information which will be analysed to uncover insights that drive strategic business decisions. The ideal candidate will manage the full analysis lifecycle from requirement gathering to report development while continuously optimizing reporting functions and supervising performance and quality assurance processes to pinpoint areas for improvement.
Roles and Responsibilities:
- Ensure the accuracy consistency and reliability of data throughout its lifecycle.
- Perform data cleansing and review computergenerated reports to identify and resolve errors.
- Gather data from multiple sources such as databases APIs and thirdparty sources.
- Maintain and update databases and data systems to ensure they are accurate and up to date.
- Create and maintain processes to generate timely and accurate reports that provide actionable insights for stakeholders.
- Identify opportunities for process improvements to enhance efficiency and reporting accuracy.
- Work with departmental managers to gather specific data requirements for analysis projects tailored to their business processes.
- Develop scripts and tools to automate data extraction from websites and digital sources improving data access and efficiency.
- Analyse complex datasets to detect trends patterns and correlations.
- Use statistical techniques to analyse data and provide actionable insights to inform business strategies.
- Design data dashboards charts and other visual aids to support decisionmaking across the organization.
- Conduct advanced data analyses using statistical methods to uncover deeper insights and correlations.
- Manage and update databases ensuring they remain secure accessible and function properly.
- Support data storage and retrieval processes to ensure seamless operations.
- Coordinate with management to align business priorities with data needs.
- Collaborate with teams across departments to identify and prioritize data analysis requirements.
Skills and Qualifications:
- Minimum of 5 years of experience managing large financial datasets for companies.
- Strong foundation in statistics and handson experience with statistical software (Excel PowerBI Zoho Analytics).
- Proficiency in data analysis languages such as SQL Python and R.
- Excellent analytical skills with the ability to compile structure and analyze large data sets with attention to detail.
- Basic Web Programming language like PHP is optional but would be advantageous.
- Strong critical thinking skills to extract actionable insights from data.
- Excellent communication and presentation skills with the ability to convey complex data insights to nontechnical audiences.
- A Bachelors degree in Computer Science Information Management Statistics or a related field is required. Prior experience in data analysis or a similar role is a plus.
Additional Requirements:
- Strong reportwriting and presentation skills.
- Ability to work under pressure and meet tight deadlines.
- A solid understanding of business operations and industryspecific knowledge is highly desirable.
Data Analyst
Posted today
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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
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Dubai, United Arab Emirates | Posted on 07/29/2025
myZoiis changing lives for the better for those who need it most. We are an innovativefintech startup dedicated to promoting financial inclusion globally. Our visionis to provide equitable access to essential financial services for the unbankedand underbanked through affordable, convenient, and transparent solutions.
At myZoi, weoperate in a dynamic, fast-paced environment where technology and innovationdrive everything we do. We're seeking a talented, ambitious, and purpose-drivenData Analyst to join our team and help us deliver exceptional insights to bothour internal teams and clients.
Data Scienceand data governance is fundamental to everything we do at myZoi, from userresearch to empowering our internal teams with the insights they need to buildand maintain an exceptional product. We leverage data to understand our usersand optimize all aspects of our operations.
We're lookingfor an innovative and senior Data Analyst who excels at developing creativesolutions through research, design, coding, and implementation. The idealcandidate is passionate about continuous learning and dedicated to deliveringvalue. You will architect, interpret, and operationalize data strategiesunderpinned by governance across our ecosystem. You'll leverage AWS-nativesolutions and best-of-breed data tooling to surface actionable insights whilenavigating a complex regulatory landscape. If you thrive at the intersection oftechnical rigor and ethical responsibility, this is where your expertise willshine.
- Developand manage scalable dashboards and reporting systems using AWS tools (Redshift,S3, Quicksight, Glue, Athena, Redash etc.), working with various stakeholdersin the company to gather, translate and prioritize requirements according tobusiness needs.
- Buildnew and robust data pipelines in collaboration with Data Engineers, usingservices like AWS Lambda and S3, incorporating data governance in an automatedand scalable fashion.
- Conductdata analysis to identify trends, anomalies, and opportunities across customerbehavior, fraud detection, and compliance workflows. Supporting businessdecision-making with evidence-based data analysis and recommendations.
- Createclear documentation on transformation logic, including code annotations andbusiness rules. Maintain end-to-end data lineage across AWS services. Ensuregovernance alignment by logging classification, access control, and compliancemetadata in collaboration with the relevant stakeholders such as InformationSecurity and the Data Protection Officer.
- UseAWS tools to ensure data integrity and compliance by validating datasets in S3,tracking lineage and data cataloging, and aligning workflows with governancepolicies in an automated fashion.
- Workwith the Cloud Architect and Information Security to define key metrics,enforcing secure access and automating checks with AWS tools such as Glue andAirflow, and bridge analytics needs across Redshift and QuickSight.
- Partnercross-functionally with relevant stakeholders to ensure alignment withoperational and legal mandates.
- Implementand maintain data quality frameworks, applying validation checks and schemaevolution policies.
- Championdata democratization - enable teams to make better decisions by improvingaccess, clarity, and integrity of datasets using AWS and working with relevantstakeholders.
- Identifyingchallenges or inefficiencies in business operations and use data to recommendimprovements.
RequiredQualifications
- Bachelor'sand preferably a Master's degree in Computer Science, Data Science, InformationSystems, Statistics, or a related field.
- 8–10years of hands-on experience in data analysis, reporting, and data-drivendecision-making - including strong experience in data governance.
- Advancedproficiency in AWS services such as S3, Glue, Athena, Redshift, Lake Formation,and QuickSight.
- Strongcommand of SQL, Python, Java and ETL processes.
- Experiencewith metadata management, lineage tracking, and data cataloging using Glue orPurview.
- Provenability to align analytics workflows with governance frameworks (e.g. ISO27001, NESA, UAE PDPL).
- Familiaritywith IAM policies, AWS KMS, and encryption best practices for secure dataaccess.
- Skillin building and automating ETL/ELT pipelines using Glue, Airflow, or Lambdafunctions.
- Proficiencyin dashboard development using QuickSight, Sigma, or comparable visualizationtools.
- Experiencecollaborating with cross-functional teams, including product, cybersecurity,and engineering.
- Abilityto document transformation logic, lineage, and governance in a structured,version-controlled format.
- Understandingof data lake architectures, scalability, and operational efficiency.
- Stronganalytical mindset with business acumen, especially within fintech, financialinclusion, or transaction monitoring domains.
- Excellentcommunication and stakeholder engagement skills, including ability to translatebusiness needs and technical findings into actionable insights.
TechnicalRequirements
- Proficientin SQL, Python, and others for advanced data analysis.
- Hands-onexpertise with AWS S3, Glue, Athena, Redshift, QuickSight, Lake Formation.
- Stronggrasp of ETL/ELT orchestration using Glue, Airflow, or Lambda etc.
- Experiencewith metadata management and lineage tracking via Glue Data Catalog or Purview.
- Skilledin IAM policies, KMS encryption, and secure data access workflows.
- Familiarwith compliance tools like AWS Config, Security Hub, and external integrations(e.g., Collibra, DataHub or other governance tool).
- Provenability to build governance dashboards and KPIs in QuickSight.
- Capableof implementing unit testing, profiling, and anomaly detection in Datadog orCloudWatch.
- Understandingof data lake architectures and multi-account AWS deployments.
- Excellentcommunicator able to translate technical findings into business insights.
- Proficiencywith agile tools (Jira).
- Niceto have: Experience with ML workflows and AI tools.
- Strongcommunication skills with natural curiosity and aptitude for quick learning.
- Professionalexperience in an analytical role, preferably with experience in datagovernance.
- Backgroundin mathematics or quantitative discipline with extensive statistical knowledge.
- Proficiencyin SQL, Python, Java, and ETL processes.
- Flexible,can-do attitude with enthusiasm for learning.
- Strongteam player who builds positive relationships.
- Resilientproblem-solver who thrives under pressure.
- Youenjoy making friends, having fun.
If you are apurpose driven individual with a passion for data and value, and a desire towork in a fast-paced and innovative environment, we encourage you to apply forthis exciting opportunity at myZoi.
At myZoi westrive to create a both a product and a team that embraces equality, inclusion,diversity and freedom. We want people who can be themselves and bring their ownbrand of value to the team. Come and join us
Data Analyst
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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:
- Collect, process, and analyze large data sets to uncover trends, patterns, and actionable insights for decision-making.
- Develop clear, visually compelling dashboards and reports to present data-driven insights to business stakeholders.
- Ensure accuracy and integrity in data collection, storage, and analysis; continuously improve data management practices.
- Work cross-functionally with teams to align on goals, improve data processes, and drive business strategies through data insights.
- Identify opportunities for process improvement through data analysis and work to streamline and enhance reporting accuracy.
What We're Looking For:
- 5+ Years of Experience as a Data Analyst or in a similar role.
- Bachelor's Degree in Data Science, Statistics, Economics, or a related field.
- Proficient in SQL, Excel, and data visualization tools like Power BI or Tableau. Python or R knowledge is a bonus
- Strong Analytical Skills: You have a natural ability to transform complex data into simple, clear insights.
- 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:
#J-18808-LjbffrData Analyst
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Helping Hands in Data Generation
We are seeking a diligent and meticulous professional to create detailed reports and datasets using system tools, database queries, and scripts. This individual will be responsible for collecting data from multiple sources, integrating it into requested formats, and ensuring the quality of deliverables.
Responsibilities:
- Create comprehensive reports and datasets utilizing system tools and database or data warehouse queries and scripts.
- Integrate data from various sources to produce required data elements.
- Design and maintain report forms and formats, information dashboards, data generators, canned reports, and other end-user information portals or resources.
- Guarantee compliance with reporting requirements through thorough data audits and analysis.
- Develop specifications for reports based on business requests.
Requirements:
- An entry-level professional individual contributor working on a project or work team.
- Closely supervised work environment.
- Solutions to problems are typically not complex or difficult.
- Explain facts, policies, and practices related to the job area.
- Work on projects with limited scope and complexity.
- Follow standard practices and procedures when analyzing situations or data from which answers can be readily obtained.
- Apply company standard policies and procedures to resolve issues where answers can be readily obtained.
- Broad theoretical knowledge typically acquired from advanced education.
- A four-year college degree or equivalent experience and 2 years of functional experience are usually required.
This role is ideal for an individual who is detail-oriented, analytical, and proficient in using system tools and database management systems. If you are a motivated professional looking for a challenging opportunity, please apply.