1767 Senior Analyst jobs in Dubai

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.

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.
  

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.

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

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:

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.

We are seeking a highly analytical and detail-oriented Data Analyst to join our team. The successful candidate will be responsible for collecting, processing, and analyzing data to help drive strategic decision-making and business performance. You will work closely with stakeholders across departments to develop insights, dashboards, and reports that contribute to operational efficiency and business growth.

• Collect and clean large sets of structured and unstructured data from various sources.

• Analyze data to identify trends, patterns, and anomalies.

• Develop and maintain dashboards, visualizations, and reports using tools like Power BI, Tableau, or Excel.

• Translate complex data into actionable business insights and recommendations.

• Collaborate with cross-functional teams to understand data needs and business goals.

• Monitor key performance indicators (KPIs) and track business performance metrics.

• Automate recurring reports and optimize data workflows.

• Assist in designing data models, database queries, and ETL processes.

• Ensure data integrity, quality, and compliance with data governance standards.

• Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.

• Proven experience (2+ years) in data analysis or a related role.

• Proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI, Looker).

• Strong analytical, problem-solving, and critical-thinking skills.

• Experience with programming languages such as Python or R is a plus.

• Familiarity with data warehousing, cloud platforms (AWS, Azure, or GCP), and BI best practices.

• Excellent communication skills and ability to present findings to non-technical stakeholders.

• Experience with statistical analysis and predictive modeling.

• Understanding of business operations and KPIs in (industry, e.g., finance, e-commerce, healthcare).

• Knowledge of machine learning techniques is a plus.

Join to apply for the Data Analyst - Consumer Analytics role at Chalhoub Group

Join to apply for the Data Analyst - Consumer Analytics role at Chalhoub Group

INSPIRE | EXHILARATE | DELIGHT

For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.

INSPIRE | EXHILARATE | DELIGHT

For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.

Every step at Chalhoub Group is taken to build a future where luxury dreams become reality — bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse — the Group's innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.

Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future-proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM. Their collective efforts have earned the Group the Great Place to Work certification in several markets.

Sustainability is at the core of the Group's strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women's Empowerment Principles, and to have pledged to reach Net Zero by 2040.

What You'll Be Doing

We are looking for a detail-oriented and data-driven Data Analyst to join our central analytics team. Our team supports multiple brands across the group, delivering insights, reports, and analytics to help brands optimize their strategies and drive business growth.

You will work in a centralized team that partners with brand stakeholders to provide actionable intelligence, ensure data accuracy, and develop custom analytics solutions. This role is ideal for someone with strong analytical skills, a passion for retail, and the ability to work across diverse brands and business needs.

Key Responsibilities

• Reporting & Dashboarding
• Maintain and enhance standard and brand-specific custom dashboards
• Support the delivery of "self-serve" analytics to brand teams.
• Customer Insights & Analysis
• Deliver ad-hoc and periodic (monthly, quarterly, yearly) customer insights.
• Analyze customer demographics, product affinities, omnichannel behaviors, and prospect profiles.
• Provide insights to support campaigns, product launches, and key calendar events.
• Database & Data Quality Management
• Perform data ingestion verification and gap analysis.
• Troubleshoot and resolve data issues in collaboration with IT and data teams.
• Business Logic & Metrics Implementation
• Assist in implementing business-specific logic, attributes, and metrics in Looker and Salesforce.
• Support custom segmentation, brand-specific attributes, and categorization models.
• Stakeholder Collaboration
• Participate in monthly review and planning meetings with brands and the omnichannel team.
• Work closely with marketing, CRM, e-commerce, and product teams to align analytics with business objectives.
  
  

• Bachelor's degree in Business, Marketing, Data Analytics, or related field.
• 1–2 years of experience in analytics, preferably in retail or e-commerce.
• Strong SQL skills for querying and manipulating datasets.
• Experience with Looker (dashboard creation & data exploration).
• Familiarity with Salesforce Service Cloud and Marketing Cloud.
• Proficiency in Excel/Google Sheets for quick data analysis.
• Strong analytical mindset with the ability to translate data into actionable insights.
• Excellent communication skills for presenting findings to non-technical stakeholders.
  
  

• Experience working in a centralized analytics team serving multiple brands.
• Knowledge of omnichannel retail KPIs and customer lifecycle metrics.
• Exposure to segmentation and personalization strategies in retail marketing.
  
  

• Salesforce Service Cloud – Customer data management and service tracking.
• Salesforce Marketing Cloud – Campaign tracking and customer journey analysis.
• Looker – Dashboard development, ad-hoc analysis, and self-serve reporting.
• SQL – Data extraction, cleaning, and transformation.
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology
• Industries Retail Luxury Goods and Jewelry

Referrals increase your chances of interviewing at Chalhoub Group by 2x

Dubai, Dubai, United Arab Emirates $1,000.00-$2, hours ago

Global Village, Dubai, United Arab Emirates 1 week ago

Dubai, Dubai, United Arab Emirates 12 hours ago

Dubai, Dubai, United Arab Emirates 1 year ago

We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. ICQA Data Analyst will work closely with the ICQA, Learning and Finance departments to provide data and analytical support for the business.

• Development of data collection processes and data management systems
• Designing of queries, compiling of data, and generation of reports in SQL
• Charting and graphing of data for reporting purposes
• Developing dashboard (Amazon Quicksight) to support business decision making and dive deep activities
• Develop automation solution for analysis (python)
• Prepare and publish reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates)
• Supporting leadership team how to interpret data trends as needed
• In depth research of defect trends
• Data collection and entry as needed
• Present analysis in easily digestible standard reports
• Support to ICQA & Learning Team Projects

• UAE National with a family book
• 3+ years experience in data warehousing with demonstrated expertise in ETL processes and data modeling
• Strong command of SQL (including complex joins, stored procedures, and query optimization)
• Proven experience with at least one major BI platform (prefer QuickSight) including dashboard creation and maintenance
• Proficiency in Python, particularly with data analysis libraries (pandas, numpy, scikit-learn)
• Experience automating data collection and reporting processes
• Demonstrated ability to translate business requirements into technical solutions

• Experience with cloud platforms (AWS)
• Proficiency in statistical analysis and A/B testing methodologies
• Experience with machine learning frameworks and predictive modeling
• Knowledge of data visualization best practices and storytelling with data
• Familiarity with agile methodologies and project management tools
• Certification in relevant technologies (AWS)

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company - Q-Express Documents Transport