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data & business analyst Jobs in Abu Dhabi

data & business analyst

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data analyst

IdeaCrate Edutainment

Driving business insights through data analysis within a retail environment. The Data Analyst will interpret sales, customer behaviour, and inventory trends to support strategic decisions across operations, merchandising, and marketing. The position plays a key role in improving retail performance and enabling data-led decision-making within IdeaCrate.Key Responsibilities :1.Sales &amp; Performance Analysis<ul><li>Analyze daily, weekly, and monthly sales data across all store locations</li><li>Identify top-performing and underperforming products and categories</li><li>Monitor region-wise sales trends and growth opportunities</li><li>Evaluate the effectiveness of promotional campaigns and discounts</li><li>Build and maintain dashboards for real-time performance tracking</li><li>Collaborate with sales and merchandising teams to recommend data-driven actions</li></ul>2.Customer Behavior &amp; Segmentation<ul><li>Study customer purchasing patterns to uncover trends and preferences</li><li>Segment customers based on demographics, loyalty, and buying behavior</li><li>Track customer retention, repeat purchase rate, and lifetime value</li><li>Analyze feedback and customer satisfaction data for improvement insights</li><li>Support marketing teams with data on customer targeting and personalization</li><li>Provide reports that influence loyalty program design and execution</li></ul>3.Inventory &amp; Supply Chain Insights<ul><li>Analyze stock movement and inventory turnover across stores and warehouses</li><li>Forecast demand based on historical sales and seasonal trends</li><li>Identify slow-moving and excess inventory to reduce holding costs</li><li>Track stock availability and product lifecycle performance</li><li>Support replenishment planning with accurate data models</li><li>Coordinate with supply chain teams to ensure data accuracy and alignment</li></ul>4.Reporting &amp; Dashboard Development<ul><li>Design and maintain interactive dashboards using tools like Power BI or Tableau</li><li>Generate automated weekly/monthly reports for stakeholders and department heads</li><li>Ensure accuracy, consistency, and clarity in all data reports</li><li>Develop visualizations that simplify complex data for non-technical teams</li><li>Monitor KPIs across functions like sales, inventory, customer service, etc.</li><li>Continuously improve reporting processes to enhance efficiency and usability</li></ul>5.Collaboration &amp; Business Support<ul><li>Work closely with marketing, sales, and retail operations to understand data needs</li><li>Translate business questions into analytical problems and deliver actionable insights</li><li>Provide ad-hoc analysis and support for strategic projects or executive requests</li><li>Train and support non-technical users on how to access and use data tools</li><li>Present findings to stakeholders in a clear, concise, and business-focused manner</li><li>Stay updated with retail industry trends and analytics best practices</li></ul>6.Data Quality &amp; Process Improvement<ul><li>Ensure accuracy and consistency of data collected from POS, CRM, and ERP systems</li><li>Conduct regular audits to identify data gaps, anomalies, and reporting errors</li><li>Work with IT and data teams to resolve system integration or data sync issues</li><li>Develop and document data definitions, processes, and validation rules</li><li>Recommend process improvements to enhance data flow and reporting efficiency</li><li>Support the implementation and maintenance of data governance standards .</li></ul><ul><li>Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related field</li><li>Postgraduate degree (MBA, MSc, or PG Diploma) in Data Science, Business Analytics, or Quantitative Methods - Preferred</li><li>Relevant certifications in Google Data Analytics, Microsoft Certified: Data Analyst Associate (Power BI), Tableau Desktop Specialist, SQL, Python, or R programming &ndash; Added Advantage</li><li>Minimum 5 &ndash; 7 years of experience in data analysis within the retail or e-commerce sector, with strong skills in sales, inventory, and customer data insights using tools like SQL and Power BI.</li></ul>Job Type: Full-timePay: AED4,000.00 - AED5,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Experience:<ul><li>Data Analytics : 5 years (Preferred)</li></ul>Location:<ul><li>Abu Dhabi (Preferred)</li></ul>

Data Analyst

DICETEK LLC

<div>Primary Skillset:<ul><li>
Proficient in SQL, SSIS, Python, Power BI, ETL development and validation</li><li>
Hands on experience in data analysis tools and database development</li><li>
Experience in conducting data profiling, data quality, data lineage and data completeness</li><li>
Understanding of customer onboarding, and domestic/cross-border (SWIFT) payment gateways, payment types, tags</li><li>
Strong communication and client management skill</li></ul>
Secondary Skillset:<ul><li>
Knowledge of sanctions screening processes</li><li>
Experience in fine tuning of Sanctions screening systems (Fircosoft/Safewatch/Omni/Siron)</li><li>
Experience in sanctions screening system validation (Fircosoft/Safewatch/Omni/Siron), fine-tuning, list management, name and payment screening processes, screening exclusions and project management.</li></ul></div>

Intelligent Solutions HR

<div>
 
 
 
 General Overview:
 
 
 
 
 
 
 
 Intelligent Solutions has partnered with a leading insurance company to hire a Senior Data Analyst. This role is responsible for designing, building, and operationalizing the company&rsquo;s data infrastructure and analytics ecosystem, supporting business intelligence across health, life, marine, and aviation lines of business.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 
 Data Engineering &amp; Infrastructure
 
 
 
 
 
 <ul>
 <li>
 Design and implement scalable ETL pipelines across internal and third-party systems (core platforms, TPAs, reinsurers, CRMs).
 </li>
 <li>
 Support the design of data warehouse/Lakehouse architectures using modern cloud tools (Azure, AWS, etc.).
 </li>
 <li>
 Develop reusable data models and transformation logic ensuring consistency and reliability.
 </li>
 <li>
 Integrate policy, claims, medical coding, and financial datasets for unified reporting and analytics.
 </li>
 </ul>
 
 
 
 
 
 Business Analytics &amp; Reporting
 
 
 
 
 
 <ul>
 <li>
 Build automated dashboards and KPIs across underwriting, claims, finance, and customer experience.
 </li>
 <li>
 Deliver actionable insights through data visualizations using Power BI or Tableau.
 </li>
 <li>
 Conduct ad-hoc analysis to support strategic and operational decisions.
 </li>
 <li>
 Develop analytics frameworks for monitoring pricing performance, loss ratios, and channel efficiency.
 </li>
 </ul>
 
 
 
 
 
 Data Governance &amp; Compliance
 
 
 
 
 
 <ul>
 <li>
 Implement data quality checks, validation rules, and exception handling within ETL processes.
 </li>
 <li>
 Maintain documentation on data lineage and ownership.
 </li>
 <li>
 Ensure compliance with UAE regulatory standards (DHA, IFU, CBUAE) and audit readiness.
 </li>
 <li>
 Data Science &amp; Advanced Analytics
 </li>
 <li>
 Prepare structured datasets for predictive modelling (e.g. fraud detection, lapse prediction, health risk scoring).
 </li>
 <li>
 Support model development, feature engineering, and data enrichment in collaboration with the Head of Data Analytics.
 </li>
 </ul>
 
 
 
 
 
 
 Key Requirements:
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in data science, Statistics, Engineering, Computer Science, or related field.
 </li>
 <li>
 5&ndash;7 years of experience in data engineering or analytics, preferably in insurance or financial services.
 </li>
 <li>
 Advanced skills in SQL, Power BI/Tableau, and ETL tools; proficiency in Python or R.
 </li>
 <li>
 Knowledge of insurance data structures (ICD-10, CPT codes) and regulatory reporting in the UAE.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills with a customer-centric, &ldquo;make-it-happen&rdquo; mindset.
 </li>
 <li>
 Collaborative, detail-oriented, and adaptable to fast-paced environments.
 </li>
 </ul>
</div>

Senior Data Analyst

Pangaia

<div>Who we are
PANGAIA exists to design a future where people and planet reconnect, through every product we create, the stories we tell, and every action we take. We fuse innovation, design, and purpose to responsibly deliver products and experiences that nurture well-being while ensuring minimal collective environmental footprint.
We are a global collective: one heart, many creative minds. From designers to scientists, from storytellers to retailers, we unite to build a platform that brings meaningful innovation to life. We don&rsquo;t just sell products &mdash; we redefine their role: shifting from symbols of consumption to instruments for wellness, consciousness, and lasting positive impact.
Our vision is simple: empower people to live more intelligently, beautifully, and responsibly through purposeful design, cutting-edge innovation, uncompromising quality, and a deeply connected community.
The Role
We are seeking a technically skilled and detail-oriented Data &amp; Business Analyst to be a cornerstone in building our data-driven decision-making capability.
PANGAIA is a D2C brand with most sales via its webshop, and we are now planning a significant expansion of our retail activities. Building a strong analytics backbone to support both online and offline businesses is pivotal to provide leadership with a robust data basis for strategic and operational decisions.
In the initial phase, the focus will be on data consistency across systems and departments, implementing a master data concept, and setting up a scalable analytics infrastructure and logic. Once this foundation is in place, the role will evolve into delivering advanced analytics, predictive models, and actionable insights across both e-commerce and retail operations.
Key Responsibilities
Data Infrastructure &amp; Governance<ul>
<li>Support the rollout of a master data management concept across all systems (ERP, PLM, CRM, POS, e-commerce).</li>
<li>Ensure data accuracy, consistency, and availability across D2C and retail channels.</li>
<li>Design data pipelines that integrate transactional, operational, and customer data.</li>
<li>Establish governance processes for data ownership, taxonomy, and hierarchy.</li>
</ul>E-Commerce &amp; Retail Analytics<ul>
<li>Build dashboards and reports that cover both online and retail performance.</li>
<li>Provide KPIs and insights for e-commerce (traffic, conversion, AOV, CAC, LTV, returns) and retail (footfall, basket size, sales per sqm, conversion rates).</li>
<li>Support omni-channel analytics such as customer journey tracking across online and retail touch points.</li>
<li>Monitor product performance across SKUs, categories, and geographies.</li>
</ul>Predictive &amp; Advanced Analytics<ul>
<li>In coordination with the commercial team on developing demand forecasting models combining internal sales data with external data (seasonality, macroeconomic trends, weather, events).</li>
<li>In coordination with commercial teams, build predictive analytics for inventory planning, replenishment, and allocation across e-commerce and retail.</li>
<li>Use AI/ML to create customer segmentation models, churn predictions, and personalized recommendations.</li>
<li>Continuously refine and validate models to enhance decision-making quality.</li>
</ul>Operational &amp; Business Insights<ul>
<li>Analyse the full value chain: sourcing, logistics, fulfillment, and returns.</li>
<li>Provide insights into process efficiency, lead times, and cost optimisation.</li>
<li>Enable leadership to make informed decisions on pricing, promotions, and assortment strategy.</li>
<li>Support finance with margin and profitability analytics across sales channels.</li>
</ul>Customer-Facing Insights<ul>
<li>Create analytics frameworks for customer service performance, NPS, and satisfaction tracking.</li>
<li>Monitor omni-channel customer engagement (CRM campaigns, loyalty programs, retail events).</li>
<li>Support marketing funnel optimization with data-backed insights.</li>
</ul>Requirements
Technical Skills<ul>
<li>Strong command of SQL and experience with data warehouses (Snowflake, Big Query, Azure).</li>
<li>Programming skills in Python or R for analysis, modelling, and machine learning.</li>
<li>Experience with ETL/ELT pipelines and data integration tools (dbt, Fivetran, Airflow, Celigo).</li>
<li>Proficiency with visualisation tools (Power BI, Tableau, Looker).</li>
<li>Familiarity with cloud environments (Azure, AWS, GCP).</li>
<li>Understanding of APIs and integrations across ERP, CRM, PLM, POS, and e-commerce platforms.</li>
</ul>Analytics &amp; Modeling<ul>
<li>Expertise in forecasting, predictive modelling, and machine learning.</li>
<li>Strong statistical background with ability to apply regression, clustering, time-series analysis, A/B testing.</li>
<li>Deep knowledge of retail and e-commerce KPIs.</li>
<li>Ability to create omni-channel analytics frameworks for unified reporting.</li>
</ul>Capabilities for D2C + Retail Support<ul>
<li>Experience combining online and offline data sets for holistic customer and business insights.</li>
<li>Familiarity with POS data structures and retail analytics metrics (traffic counters, sales density).</li>
<li>Knowledge of inventory optimization across multiple distribution channels.</li>
<li>Understanding of customer behavior analytics both online (clickstream, funnels) and in-store (footfall, dwell time).</li>
<li>Awareness of sustainability metrics relevant for premium fashion (returns rates, circularity, DPP readiness).</li>
</ul>Profile &amp; Attributes<ul>
<li>3&ndash;6 years of experience in data/business analytics, ideally in fashion, retail, or consumer goods.</li>
<li>Hands-on problem solver with strong analytical rigor.</li>
<li>Comfortable working in a fast-paced transformation environment.</li>
<li>Strong communication skills &mdash; able to translate technical findings into business impact.</li>
<li>Curious, proactive, and passionate about creating new capabilities.</li>
</ul>Why Join Us?
At PANGAIA, you will play a pivotal role in building a data-driven culture and a globally recognized responsible fashion brand at scale. You&rsquo;ll have the chance to work at the intersection of innovation, design, and purpose, creating impact beyond commerce while delivering meaningful returns to shareholders.
By supporting both our e-commerce core and our growing retail footprint, your work will directly shape how we scale international, grow sales and how we optimise operations.
If you are ready to shape the future of responsible fashion and lead one of our most important growth engines, we would love to hear from you.</div>

Data & Business Analyst

PANGAIA

<div>
 
 
 Who we are
 
 
 
 PANGAIA exists to design a future where people and planet reconnect, through every product we create, the stories we tell, and every action we take. We fuse innovation, design, and purpose to responsibly deliver products and experiences that nurture well-being while ensuring minimal collective environmental footprint.
 
 
 We are a global collective: one heart, many creative minds. From designers to scientists, from storytellers to retailers, we unite to build a platform that brings meaningful innovation to life. We don't just sell products &mdash; we redefine their role: shifting from symbols of consumption to instruments for wellness, consciousness, and lasting positive impact.
 
 
 Our vision is simple: empower people to live more intelligently, beautifully, and responsibly through purposeful design, cutting-edge innovation, uncompromising quality, and a deeply connected community.
 
 
 
 The Role
 
 
 
 We are seeking a technically skilled and detail-oriented Data &amp; Business Analyst to be a cornerstone in building our data-driven decision-making capability.
 
 
 PANGAIA is a D2C brand with most sales via its webshop, and we are now planning a significant expansion of our retail activities. Building a strong analytics backbone to support both online and offline businesses is pivotal to provide leadership with a robust data basis for strategic and operational decisions.
 
 
 In the initial phase, the focus will be on data consistency across systems and departments, implementing a master data concept, and setting up a scalable analytics infrastructure and logic. Once this foundation is in place, the role will evolve into delivering advanced analytics, predictive models, and actionable insights across both e-commerce and retail operations.
 
 
 
 Key Responsibilities
 
 
 
 
 Data Infrastructure &amp; Governance
 
 
 <ul>
 <li>
 Support the rollout of a master data management concept across all systems (ERP, PLM, CRM, POS, e-commerce)
 </li>
 <li>
 Ensure data accuracy, consistency, and availability across D2C and retail channels
 </li>
 <li>
 Design data pipelines that integrate transactional, operational, and customer data
 </li>
 <li>
 Establish governance processes for data ownership, taxonomy, and hierarchy
 </li>
 </ul>
 
 
 E-Commerce &amp; Retail Analytics
 
 
 <ul>
 <li>
 Build dashboards and reports that cover both online and retail performance
 </li>
 <li>
 Provide KPIs and insights for e-commerce (traffic, conversion, AOV, CAC, LTV, returns) and retail (footfall, basket size, sales per sqm, conversion rates)
 </li>
 <li>
 Support omni-channel analytics such as customer journey tracking across online and retail touch points
 </li>
 <li>
 Monitor product performance across SKUs, categories, and geographies
 </li>
 </ul>
 
 
 Predictive &amp; Advanced Analytics
 
 
 <ul>
 <li>
 In coordination with the commercial team on developing demand forecasting models combining internal sales data with external data (seasonality, macroeconomic trends, weather, events)
 </li>
 <li>
 In coordination with commercial teams, build predictive analytics for inventory planning, replenishment, and allocation across e-commerce and retail
 </li>
 <li>
 Use AI/ML to create customer segmentation models, churn predictions, and personalized recommendations
 </li>
 <li>
 Continuously refine and validate models to enhance decision-making quality
 </li>
 </ul>
 
 
 Operational &amp; Business Insights
 
 
 <ul>
 <li>
 Analyse the full value chain: sourcing, logistics, fulfillment, and returns
 </li>
 <li>
 Provide insights into process efficiency, lead times, and cost optimisation
 </li>
 <li>
 Enable leadership to make informed decisions on pricing, promotions, and assortment strategy
 </li>
 <li>
 Support finance with margin and profitability analytics across sales channels
 </li>
 </ul>
 
 
 Customer-Fac
 
 ing Insights
 
 <ul>
 <li>
 Create analytics frameworks for customer service performance, NPS, and satisfaction tracking
 </li>
 <li>
 Monitor omni-channel customer engagement (CRM campaigns, loyalty programs, retail events)
 </li>
 <li>
 Support marketing funnel optimization with data-backed insights
 </li>
 
 
 </ul>
 
 Requirements
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Strong command of SQL and experience with data warehouses (Snowflake, Big Query, Azure)
 </li>
 <li>
 Programming skills in Python or R for analysis, modelling, and machine learning
 </li>
 <li>
 Experience with ETL/ELT pipelines and data integration tools (dbt, Fivetran, Airflow, Celigo)
 </li>
 <li>
 Proficiency with visualisation tools (Power BI, Tableau, Looker)
 </li>
 <li>
 Familiarity with cloud environments (Azure, AWS, GCP)
 </li>
 <li>
 Understanding of APIs and integrations across ERP, CRM, PLM, POS, and e-commerce platforms
 </li>
 </ul>
 
 
 Analytics &amp; Modeling
 
 
 <ul>
 <li>
 Expertise in forecasting, predictive modelling, and machine learning
 </li>
 <li>
 Strong statistical background with ability to apply regression, clustering, time-series analysis, A/B testing
 </li>
 <li>
 Deep knowledge of retail and e-commerce KPIs
 </li>
 <li>
 Ability to create omni-channel analytics frameworks for unified reporting
 </li>
 </ul>
 
 
 Capabilities for D2C + Retail Support
 
 
 <ul>
 <li>
 Experience combining online and offline data sets for holistic customer and business insights
 </li>
 <li>
 Familiarity with POS data structures and retail analytics metrics (traffic counters, sales density)
 </li>
 <li>
 Knowledge of inventory optimization across multiple distribution channels
 </li>
 <li>
 Understanding of customer behavior analytics both online (clickstream, funnels) and in-store (footfall, dwell time)
 </li>
 <li>
 Awareness of sustainability metrics relevant for premium fashion (returns rates, circularity, DPP readiness)
 </li>
 </ul>
 
 
 Profile &amp; Attributes
 
 
 <ul>
 <li>
 3-6 years of experience in data/business analytics, ideally in fashion, retail, or consumer goods
 </li>
 <li>
 Hands-on problem solver with strong analytical rigor
 </li>
 <li>
 Comfortable working in a fast-paced transformation environment
 </li>
 <li>
 Strong communication skills &mdash; able to translate technical findings into business impact
 </li>
 <li>
 Curious, proactive, and passionate about creating new capabilities
 </li>
 </ul>
 
 
 Why Join Us?
 
 
 
 At PANGAIA, you will play a pivotal role in building a data-driven culture and a globally recognized responsible fashion brand at scale. You'll have the chance to work at the intersection of innovation, design, and purpose, creating impact beyond commerce while delivering meaningful returns to shareholders.
 
 
 By supporting both our e-commerce core and our growing retail footprint, your work will directly shape how we scale international, grow sales and how we optimise operations.
 
 
 If you are ready to shape the future of responsible fashion and lead one of our most important growth engines, we would love to hear from you.
 
 
</div>

Discovered MENA

<div>
 
 
 👩 💻 If you are a Business Analyst who has experience in lending, have a look at this!
 
 
 
 
 
 
 Our client is a leading lending engine, and due to growth, is looking to hire a Business Analyst who has an understanding of how credit and lending work.
 
 
 
 
 
 This team is responsible for analyzing data, identifying trends, and providing actionable insights to improve overall lending operations.
 
 
 
 
 
 This position requires someone with strong BI expertise, problem-solving capabilities, and a solid understanding of lending products.
 
 
 
 
 
 If successful, you will be leveraging business intelligence tools and data analytics to identify portfolio risks, delinquency trends, and opportunities for process improvements
 
 
 
 
 
 
 🤸 What you will need to have
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in business, Finance, Economics, or related field.
 </li>
 <li>
 Experience working in fintech, banking, or NBFC environments.
 </li>
 <li>
 Experience working in the Credit or Lending domain.
 </li>
 <li>
 Strong problem-solving skills with the ability to resolve complex business challenges.
 </li>
 </ul>
 
 
 
 
 If you are interested, please apply - but only relevant profiles will be contacted 💛
 
 
 
</div>

Business Analyst - Lending

<div><div><div>If you are a current DSV employee and interested in a position in another country, please contact your Human Resource representative to discuss the process and requirements of applying.
</div></div><div><div><div><div>Senior Analyst
Responsible for collecting, analyzing, and interpreting commercial data. The role will focus on developing dashboards, generating reports, and delivering insights that drive revenue growth, optimize performance, and enhance business strategies.

Responsibilities:
<ul><li>Collect, validate, and analyze large sets of commercial and operational data.</li>
<li>Develop and maintain interactive dashboards for management reporting.</li>
<li>Provide detailed insights and actionable recommendations based on data analysis.</li>
<li>Support forecasting, budgeting, and sales performance tracking.</li>
<li>Automate recurring reports and streamline reporting processes.</li>
<li>Conduct ad-hoc analysis to answer key business questions.</li>
</ul>
Qualifications &amp; Characteristics:
Education &ndash; Bachelor degree (e.g. Logistics/Transportation); a Master degree is also preferable

Work Experience &ndash; 3 to 5 years of Analyst experience in logistics industry
DSV &ndash; Global transport and logistics
Working at DSV means playing in a different league.
As a global leader in transport and logistics, we have been on an extraordinary journey of growth. Let&rsquo;s grow together as we continue to innovate, digitalise and build on our achievements.
With close to 160,000 colleagues in over 90 countries, we work every day to offer solid services and meet our customers&rsquo; needs and help them achieve their goals. We know that the best way to achieve this is by bringing in new talent, fresh perspectives and ambitious individuals like you.
At DSV, performance is in our DNA. We don&rsquo;t just work &ndash; we aim to shape the future of logistics. This ambition fuels a dynamic environment built on collaboration with world-class team players, accountability and action. We value inclusivity, embrace different cultures and respect the dignity and rights of every individual. If you want to make an impact, be trusted by customers and grow your career in a forward-thinking company &ndash; this is the place to be.
Start here. Go anywhere
Visit dsv.com</div></div></div></div></div>

Senior Analyst

Explore 528+ Data analyst in Abu Dhabi this October. Find roles across top companies and apply now to boost your career.

528 data analyst jobs IN Abu Dhabi

Data Analyst

Data Analyst

Senior Data Analyst

Data & Business Analyst

Data & Business Analyst

Business Analyst - Lending

Senior Analyst