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Salt

<div>
 
 
 Role: Senior Data Analyst
 
 
 
 
 Location: Dubai
 
 
 
 
 
 
 The Senior Data Analyst designs and executes analyses across multiple data sources. Develops dashboards and reports that provide actionable business insights. Interpret complex data using AI, machine learning, and statistical tools to uncover patterns and problems.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Responsible for analyzing complex data sets, identifying trends, and providing actionable insights to key stakeholders.
 </li>
 <li>
 Design and conduct complex analyses using statistical methods and data mining techniques
 </li>
 <li>
 Transform raw data into meaningful visualizations, dashboards, and reports
 </li>
 <li>
 Identify patterns, trends, and correlations in large datasets to support business decision-making
 </li>
 <li>
 Develop and maintain KPI metrics and performance measurement frameworks
 </li>
 <li>
 Create predictive models and forecasts to anticipate business trends and opportunities
 </li>
 </ul>
 
 
 Skills:
 
 
 <ul>
 <li>
 7+ years of progressive experience in data, analytics, or business intelligence roles &amp; a minimum of 2 years in leadership positions managing data teams and projects
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Systems, or related field.
 </li>
 <li>
 Knowledge of programming languages such as R, Python, SQL, and have strong database design and coding skills
 </li>
 <li>
 Strong understanding of data architecture &amp; data modeling
 </li>
 </ul>
 
 
 
 
 *** Only successful candidates will be contacted ***
 
</div>

Senior Data Analyst

Publicis Groupe Middle East

<div>
 
 Company Description
 
 
 
 Founded in 1926,
 
 Publicis Groupe
 
 is one of the most established and respected communications groups in the world &mdash; and today, we&rsquo;re proud to be the
 
 second-largest globally
 
 and the
 
 most valuable holding company in the industry
 
 .
 
 
 With over
 
 100,000 employees
 
 across
 
 100+ countries
 
 , we combine the power of
 
 creativity, data, media, and technology
 
 to drive business transformation for the world&rsquo;s leading brands.
 
 
 Publicis Groupe has a
 
 thriving and ever-growing presence in the Middle East
 
 , driven by
 
 exceptional regional talent
 
 , world-class agency brands, and a diverse portfolio of forward-thinking clients.
 
 
 
 Headquartered in Dubai, UAE
 
 , with offices across
 
 Saudi Arabia, Jordan, Egypt, Kuwait, Iraq, Lebanon, Turkey, and Qatar
 
 , we&rsquo;re proud to be recognized as one of the
 
 most awarded and admired creative networks in the region
 
 .
 
 
 We believe
 
 transformation starts with people
 
 &mdash; their creativity, curiosity, and ambition. That belief powers everything we do, from bold campaigns to breakthrough strategies, always with a human touch.
 
 
 
 We Operate Through Four Key Solution Hubs
 
 
 
 <ul>
 <li>
 Publicis Communications - home to Leo Burnett, Publicis Middle East, Saatchi &amp; Saatchi, and MSL
 </li>
 <li>
 Publicis Media - comprised of Digitas, Spark Foundry, Starcom, and Zenith
 </li>
 <li>
 Publicis Sapient - our digital business transformation partner
 </li>
 <li>
 Epsilon - our data and personalization powerhouse
 
 
 </li>
 </ul>
 
 Overview
 
 
 
 We are hiring a proactive and insights-oriented Senior Data Analyst - Retail, Fuel &amp; Mobility to our client retail operation business. This role will deliver critical business intelligence through sales analytics, customer behavior insights, and data-driven strategy support.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyze customer behavior and sales performance at product, category, and location levels.
 </li>
 <li>
 Conduct root cause analysis of performance anomalies and data hygiene issues.
 </li>
 <li>
 Generate data-driven recommendations to address business challenges and drive growth.
 </li>
 <li>
 Design and execute experiments including A/B testing and surveys to validate business hypotheses.
 </li>
 <li>
 Develop and maintain dashboards and automated reports to track KPIs and operational metrics.
 </li>
 <li>
 Collaborate with digital, retail, and operations teams to ensure data accuracy and usability.
 </li>
 <li>
 Support retail and mobility initiatives by transforming raw data into strategic insights.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 
 Technical &amp; Product
 
 
 
 <ul>
 <li>
 Tools: SQL, Python, R, Power BI, Tableau.
 </li>
 <li>
 Platforms: Data IQ
 </li>
 <li>
 Capabilities: ML modeling, customer segmentation, forecasting.
 
 
 </li>
 </ul>
 Key Success Metrics displayed previously
 
 
 <ul>
 <li>
 Insights leading to improved sales, category performance, and customer satisfaction
 </li>
 <li>
 Timely delivery and adoption of dashboards and reports
 </li>
 <li>
 Business impact of experiments and data-driven recommendations
 
 
 </li>
 </ul>
 
 Business Acumen &amp; Operational Efficiency
 
 
 
 <ul>
 <li>
 Retail-centric data application.
 </li>
 <li>
 Efficient reporting and insight delivery.
 </li>
 <li>
 Collaborative work style across digital, retail, and operations teams.
 
 
 </li>
 </ul>
 
 Innovative &amp; Analytical Mindset
 
 
 
 <ul>
 <li>
 Root cause analysis and insight storytelling.
 </li>
 <li>
 Curious and experimental with data to unlock new insights.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in business Analytics, Computer Science, Statistics, or Economics required.
 </li>
 <li>
 Master&rsquo;s degree in data science, Retail Analytics, or Operations Research is preferred.
 
 
 </li>
 </ul>
 
 Professional Experience
 
 
 
 <ul>
 <li>
 6 - 8 years in B2C data analytics, preferably within fuel retail, convenience retail, or mobility sectors.
 </li>
 <li>
 Hands-on experience with:
 </li>
 <ul>
 <li>
 SQL, Python, R
 </li>
 <li>
 BI tools (e.g., Power BI, Tableau)
 </li>
 <li>
 Data IQ or equivalent platforms for data preparation and ML modeling
 </li>
 </ul>
 <li>
 Strong experience in customer segmentation, behavioural analytics, and sales forecasting.
 </li>
 <li>
 Ability to work with cross-functional teams and present technical findings to non-technical stakeholders.
 </li>
 <li>
 Exposure to ML model deployment and real-world use case delivery is an advantage.
 </li>
 <li>
 Familiarity with retail operations, loyalty programs, or car-service analytics is a plus.
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 R-3067 P-3465
</div>

H J Properties

We are looking for a highly analytical and detail-oriented Data Analyst who can transform complex data into meaningful business insights. The ideal candidate will have hands-on experience in SQL, Power Query, Excel, Python, and Power BI to support reporting, automation, and data-driven decision-making across departments.Key Responsibilities<ul><li>Collect, clean, and transform data using SQL and Power Query from various sources.</li><li>Build and maintain data models, dashboards, and interactive reports in Power BI.</li><li>Use Excel for advanced data analysis &mdash; Power Pivot, DAX measures, XLOOKUP, Dynamic Arrays, and LAMBDA functions.</li><li>Perform in-depth analysis using Python (Pandas, NumPy) for data manipulation and automation.</li><li>Develop and optimize SQL queries, joins, CTEs, subqueries, views, and stored procedures for efficient reporting.</li><li>Create and manage data relationships across multiple datasets for accurate performance tracking.</li><li>Implement DAX formulas to calculate KPIs, performance metrics, and trend analysis.</li><li>Collaborate with business teams to understand data requirements and translate them into actionable insights.</li><li>Ensure data integrity, quality, and consistency across analytical systems.</li></ul>Required Skills<ul><li>SQL: Joins, Group By, Subqueries, CTEs, Stored Procedures, Views, Window Functions.</li><li>Power Query: Table, Text, and List Functions, Merge &amp; Append Queries.</li><li>Excel: Power Pivot, Data Model, Measures, Dynamic Arrays, LAMBDA, XLOOKUP, GroupBy, Filter.</li><li>Python: Pandas, NumPy for data cleaning, analysis, and process automation.</li><li>Power BI: Data Modeling, DAX, and creation of dynamic and interactive dashboards.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Data Analytics, Computer Science, Statistics, or a related field.</li><li>2&ndash;4 years of proven experience in data analytics or business intelligence.</li><li>Strong analytical mindset and problem-solving ability.</li><li>Excellent communication skills to present insights clearly to non-technical stakeholders.</li></ul>Preferred<ul><li>Experience in automating data workflows between Excel, Power BI, and SQL databases.</li><li>Knowledge of ETL processes or cloud data tools (e.g., Azure, BigQuery) is an advantage.</li></ul>Job Type: Full-time

Easygenerator

A fast-growing EdTech company in Dubai is seeking a Senior Data Analyst to join the Product & Data team. The ideal candidate will have 5-7 years of experience in data analytics, advanced SQL skills, and expertise in visualization tools like Tableau and Power BI. You will partner with leadership to drive data-informed strategies, mentor junior analysts, and ensure data quality across analytics initiatives. A competitive compensation package, including visa support and benefits, will be provided.

Senior Data Analyst, SaaS Product & Growth Insights

Deluxe Holiday Homes

<div>Role Overview:
The role will design, implement, and manage the company&rsquo;s data infrastructure and analytics framework. It includes building a centralized data warehouse, creating scalable data structures, and producing actionable insights across SCALE PMS, ERP, HubSpot, Google Ads, Meta Ads, and Finance systems.
Key Responsibilities:<ul><li>
Design and build the company&rsquo;s data warehouse architecture to consolidate data from multiple systems.</li><li>
Develop data models, transformations, and pipelines to ensure data consistency and accuracy.</li><li>
Implement data quality validation, governance, and automated data refresh processes.</li><li>
Create interactive dashboards and reports for management and departments (Operations, Marketing, Finance).</li><li>
Define and maintain the organization-wide KPI and metrics structure.</li><li>
Conduct deep-dive analyses to identify trends, performance gaps, and optimization opportunities.</li><li>
Manage marketing data attribution (Google Ads, Meta Ads, HubSpot PMS).</li><li>
Support leadership with strategic, data-driven recommendations.</li></ul> 
Qualifications:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Analytics, Computer Science, or related field.</li><li>
Minimum 5 years of experience in analytics, data engineering, or BI roles.</li><li>
Expertise in SQL, dbt, Python, and data warehouse design (BigQuery, Postgres, or similar).</li><li>
Strong experience in dashboard tools (Looker Studio, Metabase, or Power BI).</li><li>
Proven ability to integrate marketing, CRM, and operational systems.</li><li>
Excellent problem-solving and cross-functional communication skills.</li></ul>
Preferred Skills:<ul><li>
Experience in the hospitality or property management industry.</li><li>
Familiarity with Airbyte, Prefect, or similar ETL orchestration tools.</li><li>
Knowledge of forecasting, anomaly detection, and cost optimization techniques.</li></ul>
Compensation:
Competitive salary package with performance-based incentives.</div>

Analytics Engineer / Senior Data Analyst

DT One

Senior Business Analyst - DT One Location: Dubai, United Arab Emirates About DT One 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 1,500 partners we interconnect over 550 mobile operators in 160 countries, with a market of more than five billion consumers. The DT One team is 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, and is poised to play a pivotal role in shaping the future of cross border micropayments and digital value payments. Context of the role DT One is looking for a Senior Business Analyst to support our growth by gathering, analyzing, and documenting business requirements-translating them into functional specifications and actionable insights. You will be working with large datasets, performing gap analyses, and visualising business processes using tools including sequence diagrams. This role bridges the gap between business needs and technical implementation, enabling data driven decisions that improve products and operations. Experience in fintech or digital payments, particularly in prepaid products, telco integrations, cross border value flows, and FX, will be highly advantageous. What you'll do <ul> <li>Collaborate with internal and external stakeholders to gather business requirements and translate them into functional specifications, describing business requirements (stories, flows, diagrams) for engineers and architects.</li> <li>Analyze large datasets to extract insights that drive product strategy and business decisions.</li> <li>Create visual representations of business processes and data insights using tools like Tableau, Excel, and similar tools.</li> <li>Identify discrepancies between current and target states, providing actionable recommendations.</li> <li>Assist in User Acceptance Testing (UAT) and in preparing internal training materials to ensure team readiness.</li> <li>Update the Product Knowledge Base with accurate documentation, FAQs, and training materials.</li> </ul> Key Requirements <ul> <li>Bachelor's degree in Business Administration, Information Systems, Data Analytics, or a related field.</li> <li>5+ years in a Business Analyst role, ideally within the fintech or banking industry.</li> <li>Familiarity with Jira and Confluence.</li> <li>Use case modelling and UML notation experience is a considerable advantage.</li> <li>Technical writing experience is a plus.</li> <li>Proficient in data analysis and visualization tools (Tableau, Excel) and process mapping.</li> <li>Basic understanding of Agile methodologies.</li> <li>Strong analytical, problem solving, and communication skills, with attention to detail and a collaborative approach.</li> <li>Previous UX experience in B2C funnels (Figma, onboarding, conversion funnels).</li> </ul> Referrals increase your chances of interviewing at DT One by 2x. Get notified about new Senior Business Analyst jobs in Dubai, United Arab Emirates. Seniority level Mid Senior level Employment type Full time Job function Research, Analyst, and Information Technology

Senior Business Analyst

Emirates NBD

<div>
 
 
 Organization Unit Purpose
 
 
 
 Emirates NBD is one of the largest banks in the Middle East, with over USD 6Bn in revenues and 14000 employees globally. As part of its strategic mandate, the bank has recently setup its Advanced Analytics Centre of Excellence for driving ENBD&rsquo;s ambitious advanced analytics agenda across ENBD.
 
 
 
 
 
 Core objectives of the center include:
 
 
 - Deliver 500-800 Mn AED business impact through a series of use cases/ AA projects executed in collaboration with the BU&rsquo;s
 
 
 - Instill a data driven culture across ENBD by building organization wide capabilities in advanced analytics
 
 
 
 
 
 The CoE will act as an enabler to the BUs to deploy advanced analytics models to drive smarter decisions across different domains. It will act as a guiding light to BUs to ideate on what&rsquo;s possible with advanced analytics, help them prioritize these ideas, and pilot and productionalize them through cross-functional AA squads.
 
 
 
 
 
 It will house highly skilled data scientists, data engineers and other digital talent that will be an integral part of cross-functional squads that execute AA projects.
 
 
 
 
 
 The AA agenda is a high visibility and high priority initiative for ENBD. AA CoE will be governed at ExCo level, including impact tracking, a ringfenced budget &amp; performance management
 
 
 
 
 
 
 Job Purpose
 
 
 <ul>
 <li>
 The senior data scientist scopes, designs, and implements machine-learning models to support use case execution with a view of achieving overall objectives and targets
 </li>
 <li>
 The role is highly collaborative and works with product owners, business translator, data warehousing and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques
 </li>
 <li>
 The senior data scientist is expected to take charge of end to end delivery of machine learning models including regularly testing and maintain analytical models to improve efficiency and keep up with changing business needs
 </li>
 <li>
 The role supports Translators in communicating the design, functioning and output of the analytical models/solutions developed
 </li>
 <li>
 The senior data scientist additionally plays a mentorship role to others in the team, guiding junior colleagues in execution of their duties, and mentoring them in their professional growth
 </li>
 </ul>
 
 
 
 
 
 Job Content
 
 
 
 Deliver a strong roadmap of AA projects in collaboration with Business Units
 
 <ul>
 <li>
 Designs and implement machine-learning models to support the business&rsquo;s numerous initiatives and programs with a view of achieving overall objectives and targets
 </li>
 </ul>
 
 
 Artefact documentation
 
 
 <ul>
 <li>
 Successful documentation of reusable code
 </li>
 </ul>
 
 
 Development and learning
 
 
 <ul>
 <li>
 Achieve personal technical development and learning goals
 </li>
 </ul>
 
 
 Collaboration and knowledge share
 
 
 <ul>
 <li>
 Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc
 </li>
 <li>
 Participates in and helps plan cultural initiatives for CoE
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 University degree
 </li>
 <li>
 Advanced degree (MS/Ph.D) in Computer Applications, Economics, Statistics or Mathematics or related technical discipline with high analytical rigor is desirable
 </li>
 </ul>
 
 
 
 
 
 Experiences
 
 
 
 6-8 years of experience in a data science role is essential
 
 
 
 
 
 
 Knowledge &amp; Skills
 
 
 <ul>
 <li>
 Validated experience of defining analytics road map and leading analytics engagements
 </li>
 <li>
 Should have experience in machine learning, statistics, optimization or related fields
 </li>
 <li>
 Experience with programming is a must; specifically experience in R or Python
 </li>
 <li>
 Experience of working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is essential
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Worked in agile environments with multiple stakeholders from the business
 </li>
 </ul>
 
 
 
 
 
 Behavioral Competencies
 
 
 <ul>
 <li>
 Practical and action oriented
 </li>
 <li>
 Compelling communicator
 </li>
 <li>
 Excellent stakeholder management
 </li>
 <li>
 Foster and promote entrepreneurial spirit and curiosity amongst team members
 </li>
 <li>
 Team player
 </li>
 <li>
 Quick learner
 </li>
 </ul>
 
 
</div>

Senior Data Scientist - Advanced Analytics CoE

Explore 4113+ Senior data analyst in United Arab Emirates this November. Find roles across top companies and apply now to boost your career.

4113 senior data analyst jobs IN United Arab Emirates

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst, SaaS Product & Growth Insights

Analytics Engineer / Senior Data Analyst

Senior Business Analyst

Senior Data Scientist - Advanced Analytics CoE