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data analytics specialist

Roads and Transport Authority

<div>
 
 We are seeking a
 
 Statistics &amp; Data Analysis - Senior Specialist
 
 to support the Enterprise Command &amp; Control Department in collecting, verifying, and analyzing multimodal transportation data across the organization. The role focuses on transforming complex datasets into actionable insights through studies, analytical reports, and interactive dashboards to enhance situational awareness and support strategic decision-making.
 
 
 
 
 
 The selected candidate will evaluate data product opportunities, maintain transportation databases, develop operational data use cases, and perform descriptive, diagnostic, predictive, and prescriptive analytics. The role also involves coordinating with internal and external stakeholders to ensure smooth data exchange and presenting insights that support strategic planning and KPI reporting. Additionally, the specialist will contribute to benchmarking studies, support policy review and development, and promote knowledge sharing within the team.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Masters Degree in Statistics/ Data Analysis, Data Science, or a relevant field.
 </li>
 <li>
 Must have 8+ years of experience
 </li>
 <li>
 Must have experience in Data Analytics, Policy Review &amp; Development, Quality &amp; Business Excellence.
 </li>
 </ul>
 
 
 
 
 Interested candidates are invited to apply and be part of shaping data-driven mobility decisions.
 
 
 
</div>

Statistics & Data Analysis - Senior Specialist

Al Khayyat Investments (AKI)

<div>
 
 
 JOB PURPOSE:
 
 
 
 The Data Analyst supports the AI and Digital teams by collecting, preparing, analysing, and interpreting data to drive intelligent automation, business insights, and data-driven decision-making. This role plays a critical part in transforming raw data into meaningful insights by building reliable data pipelines, ensuring high data quality, creating visual reports, and collaborating closely with AI engineers and business stakeholders. The Data Analyst helps improve model performance, operational efficiency, and strategic outcomes through accurate and actionable data analysis.
 
 
 
 
 
 
 KEY ACCOUNTABILITIES:
 
 
 <ul>
 <li>
 Collect, clean, transform, and manage structured and unstructured data to support AI, analytics, and business intelligence initiatives.
 </li>
 <li>
 Develop and maintain data pipelines, warehouses, and models using SQL, Azure Data Lake, and Power BI to ensure accuracy, consistency, and scalability.
 </li>
 <li>
 Collaborate with cross-functional teams including IT, Finance, business to deliver high-quality analytical outputs.
 </li>
 <li>
 Collaborate closely with AI Engineers to prepare and validate datasets for machine learning (ML) and large language model (LLM) training, fine-tuning, and evaluation.
 </li>
 <li>
 Write and optimize complex SQL queries to extract, analyse, and validate large datasets from multiple enterprise systems.
 </li>
 <li>
 Build and maintain Power BI dashboards, interactive visualizations, and executive reports, enabling stakeholders to monitor KPIs and derive actionable insights.
 </li>
 <li>
 Define, measure, and track key performance indicators (KPIs) related to data quality, automation efficiency, and AI model performance.
 </li>
 <li>
 Conduct trend analyses and root cause investigations to identify patterns, business opportunities, and areas for performance improvement.
 </li>
 <li>
 Support data workflow automation using tools such as Power Automate, n8n, or Python scripts, improving data processing efficiency and reliability.
 </li>
 <li>
 Monitor and validate data quality, consistency, and completeness across operational and analytical systems.
 </li>
 <li>
 Prepare comprehensive documentation of data sources, transformations, and business definitions for transparency and governance.
 </li>
 <li>
 Ensure adherence to data governance, security, and privacy standards in line with organizational policies and UAE compliance regulations.
 </li>
 <li>
 Provide end-user support by responding to data-related queries and incidents through ticketing systems or email, ensuring resolution within SLA and customer satisfaction benchmarks.
 </li>
 </ul>
 
 
 
 
 
 EXPERIENCE &amp; QUALIFICATION
 
 
 <ul>
 <li>
 Minimum Qualification: Bachelor&rsquo;s degree in computer science/ engineering/ Information Systems, or related field
 </li>
 <li>
 Minimum Experience: 2+ years in similar role
 </li>
 </ul>
 
 
 
 
 
 SKILLS, KNOWLEDGE &amp; ABILITIES:
 
 
 <ul>
 <li>
 Strong hands-on expertise in SQL for complex querying, data extraction, aggregation, and performance optimization across large datasets.
 </li>
 <li>
 Proven experience with Power BI, including data modeling, DAX measures, calculated columns, and building high-performance, business-ready dashboards.
 </li>
 <li>
 Proficiency in SQL, Python, or R for data analysis and manipulation.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, GCP) and big data tools is a plus.
 </li>
 <li>
 Solid capability in data cleaning, transformation, and preparation to support analytics, reporting, and AI/ML use cases.
 </li>
 <li>
 Experience working with enterprise data sources such as ERP, WMS, Transport Management Systems, CRM, POS Applications, e-commerce, and operational systems.
 </li>
 <li>
 Good understanding of data warehousing concepts, including fact/dimension models, KPIs, and performance measurement.
 </li>
 <li>
 Familiarity with Azure data platforms (e.g., Azure Data Lake) and the broader Microsoft analytics ecosystem,
 </li>
 <li>
 Ability to translate business requirements into analytical solutions, delivering insights with minimal supervision.
 </li>
 <li>
 Strong analytical thinking to identify trends, anomalies, data gaps, and improvement opportunities, including support for AI model monitoring.
 </li>
 <li>
 Experience with data workflow automation and operational support, including handling user queries, incidents, and SLA-driven requests.
 </li>
 </ul>
 
 
 Generic Skills
 
 
 <ul>
 <li>
 Excellent listening, communication, interpersonal and presentation skills
 </li>
 <li>
 Domain and Business knowledge
 </li>
 <li>
 Ability to approach data and situations logically
 </li>
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 Drive to meet and exceed goals, and standards of excellence
 </li>
 <li>
 Ability to contribute both independently and as part of a team
 </li>
 </ul>
 
 
</div>

Data Analyst (AI focused)

Junior Couture

Company: Junior Couture Trading L.L.C Location: Dubai, UAE Employment Type: Full-TimeAbout the RoleJunior Couture Trading L.L.C is seeking a motivated and detail-oriented Emirati Fresh Graduate to join our team as a Data Analyst. This role is ideal for candidates who are passionate about data, analytics, and business insights, and are eager to start their professional career in a dynamic retail and e-commerce environment.Key Responsibilities<ul><li>Collect, clean, and analyze sales and operational data</li><li>Prepare reports and dashboards to track business performance</li><li>Support management with data-driven insights</li><li>Monitor product performance and inventory metrics</li><li>Assist in forecasting and trend analysis</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Business Analytics, or related field</li><li>Fresh graduate (0&ndash;2 years of experience)</li><li>Strong knowledge of Microsoft Excel</li><li>Basic understanding of SQL</li><li>Familiarity with Power BI (preferred)</li><li>Strong analytical and problem-solving skills</li><li>UAE National (Family Book required)</li></ul>Job Types: Full-time, Part-timePay: AED1.00 per monthApplication Question(s):<ul><li>Do you have Family book ?</li><li>How much is your expected Salary ?</li></ul>Work Location: In person

Data Analyst (UAE National – Fresh Graduate)

Huspy

<div>
 
 The Story So Far: We&rsquo;re Building a Global Brand in Real Estate
 
 
 
 Huspy is one of the leading property technology companies in EMEA.
 
 
 Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026. Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we&rsquo;ve entered.
 
 
 We&rsquo;ve raised over $140 million (Series A and Series B) from the world&rsquo;s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.
 
 
 We&rsquo;ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world&rsquo;s most traditional industries. We&rsquo;re transforming how property transactions happen &mdash; faster, smarter, and better for everyone.
 
 
 We&rsquo;re not slowing down. The question is: will you be part of what&rsquo;s next?
 
 
 
 The Main Event: What You&rsquo;ll Drive, Build, and Own
 
 
 
 <ul>
 <li>
 Architect our Data's Future: Design and own the transformation layer of our stack using dbt and Snowflake, creating the clean, scalable models that serve as the definitive source of truth for our global metrics.
 </li>
 <li>
 Power the Huspy AI Engine: Build the robust data infrastructure and semantic context required for our AI tools. You'll ensure our models provide the "clean fuel" (metadata, documentation, and governed datasets) that allows AI agents to generate accurate, automated insights. 🤖
 </li>
 <li>
 Guarantee End-to-End Trust: Develop automated reconciliation processes to ensure data integrity from raw ingestion through to the final BI layer. You'll ensure that what the business&mdash;and our AI&mdash;sees in Omni is 100% verified and trusted. ✅
 </li>
 <li>
 Own the Event Foundation: Lead the charge on event tracking (using tools like Braze or our in-house Karvel). You'll define requirements, enforce data contracts, and build the standardization that powers our product-led growth. 🚀
 </li>
 <li>
 Build a Self-Serve Ecosystem: Empower the organization by developing curated tables and maintaining our BI layer in Omni, enabling true self-service analytics for every team.
 </li>
 <li>
 Automate for Scale: Implement robust CI/CD pipelines and GitHub automations (SQL linting, required testing) to validate pull requests, ensuring we maintain high standards as the team grows.
 </li>
 <li>
 Optimize for Performance: Deep-dive into Snowflake usage and AWS costs, implementing best practices to ensure our data platform is as cost-effective as it is powerful.
 
 
 </li>
 </ul>
 
 The Perfect Match: What It Takes to Succeed at Huspy
 
 
 
 <ul>
 <li>
 Proven Experience: 4+ years in a modeling-heavy role. We care about your ability to structure data, regardless of your previous title.
 </li>
 <li>
 dbt is Your Superpower: Advanced-level proficiency with dbt. You speak fluently about macros, packages, testing, and modular project structure.
 </li>
 <li>
 SQL &amp; Data Warehousing Master: Advanced SQL skills and deep experience with Snowflake (or similar cloud warehouses).
 </li>
 <li>
 A Modeler's Mindset: Deep understanding of dimensional modeling (e.g., Kimball) and the ability to design models that are both comprehensive and intuitive for both humans and AI agents.
 </li>
 <li>
 Pragmatic Programmer: Experience with Python for scripting, automation, and interacting with APIs to bridge the gap between raw data and insights.
 </li>
 <li>
 Excellent Communicator: You can translate complex technical concepts to non-technical stakeholders and understand how to turn business requirements into robust data models.
 
 
 </li>
 </ul>
 
 Work Setup:
 
 Hybrid in Dubai or Madrid, remote anywhere in the EU. Or we offer relocation support to Dubai or Madrid, if preferred.
</div>

Data Analytics Engineer

Amazon

<div>
 
 Description
 
 
 
 Our last-mile delivery partners are crucial to our service, and we work closely with them to make sure deliveries large and small get to where they need to be. As a Payments Specialist, you&rsquo;ll make sure we process and pay our partners accurately and on time. You&rsquo;ll build connections with the local stakeholders (finance, OTR, Tax, BC teams) and help put processes in place for timely and accurate delivery of information required for payment processing.
 
 
 Key job responsibilities
 
 
 We are looking for a Payments Specialist, who will be responsible for ensuring timely and accurate payments to our partners.
 
 
 
 Key Functions For The Role Include
 
 
 
 Create and drive Payment processes to DSPs.
 
 
 Develop relationship with stakeholders and define mechanisms for accurate and timely processing of payments.
 
 
 Track payment accuracy and timeliness to secure business sustainability
 
 
 A day in the life
 
 
 You&rsquo;ll be based in the corporate office. Being in the corporate office allows you to stay close to every part of the payments and means you have access to the key teams that will drive payment inputs and approvals.
 
 
 This role is all about processing payments and ensuring DSPs are paid accurately and on time.
 
 
 
 About The Team
 
 
 
 Amazon Logistics, or AMZL, handles &lsquo;last mile&rsquo; delivery duties in partnership with third-party distribution businesses. We utilize creative thinking and continuous improvement initiatives to get millions of physical products into the hands of our customers. Our goal is to make our customers&rsquo; delivery experience as smooth as possible and roll out global delivery solutions for our newest concepts.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree
 </li>
 <li>
 Speak, write, and read fluently in English
 </li>
 <li>
 Experience with Excel, including use of complex formulas and pivot tables to manipulate large datasets and interpret results
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with SQL
 
 
 </li>
 </ul>
 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Amazon Middle East and North Africa FZ-LLC
 
 
 Job ID: A3200443
</div>

Data Analyst , DSP Payments

TikTok

<div>
 
 Responsibilities
 
 
 The MENAT LIVE Eco Growth &amp; Governance Team leads various cross-functional projects. Our key initiatives include developing strategic plans to drive widespread adoption of LIVE at scale among creators, localizing new product features, creating user engagement strategies, ensuring a positive creator experience through education on the Community Guidelines and best practices, and providing ad hoc analysis and support to cross-functional partners.
 
 
 We're looking for a Data Analyst to join our dynamic LIVE team. In this role, you&rsquo;ll uncover insights and deliver data-driven recommendations that directly impact how we grow and support our creator ecosystem. You'll work cross-functionally with product, strategy, and operations teams to shape our growth priorities using data and analytical thinking.
 
 
 - Handle a large amount of complex data, solve technical and statistical challenges, and drive business impact;
 
 - Design an indicator framework to measure the health status of the product, continuously track core indicators, and understand the root causes of indicator changes;
 
 - Promote the initiation of decisions based on data experiments, and rigorously measure the impact of product or technology changes;
 
 - Validate hypotheses, identify product growth opportunities, and influence the direction of improvement through analysis, experimentation, or other scientific methods;
 
 - Work with engineers and product stakeholders to provide product insights and strategies.
 
 
 
 Qualifications
 
 
 Minimum Qualifications:
 
 - Bachelor's degree in data science, statistics, econometrics, quantitative sociology, or a related scientific major, with more than 3 years of relevant work experience;
 
 - Professional knowledge in SQL and Python or R programming;
 
 - Strong analytical and causal reasoning skills, as well as a strict demand for statistical accuracy;
 
 - Fluent in English in order to communicate with global business stakeholders.
 
 
 Preferred Qualifications:
 
 - Strong communication and teamwork skills;
 
 - Passion for social media products and a deep curiosity for in-depth research.
 
 
 
 About TikTok
 
 
 TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.&ZeroWidthSpace;
 
 
 
 
 Why Join Us
 
 
 Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.&ZeroWidthSpace;
 
 We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.&ZeroWidthSpace;
 
 &ZeroWidthSpace;
 
 Diversity &amp; Inclusion&ZeroWidthSpace;
 
 TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.&ZeroWidthSpace;
</div>

Data Analyst - TikTok LIVE - Dubai

Spec Brite Group

Seniority: Lead / Senior Specialist (Execution-Focused)Reports to: General ManagerRole ObjectiveThe E-commerce Lead Specialist is a high-impact, technical execution role responsible for the end-to-end performance of Spec Brite Group&rsquo;s digital sales channels. You will be the primary &quot;architect&quot; of our online presence, responsible for converting high-end wellness technology into digital sales through expert listing optimization, data-driven marketing, and seamless operational management.Core Responsibilities:<ul><li>Marketplace Mastery (Amazon, Noon, &amp; Local Channels)</li><li>Listing Architecture: Build and maintain high-converting product detail pages (PDPs) for premium devices. This includes technical SEO copywriting, A+ Content (EBC) management, and professional image/video integration.</li><li>Algorithm Optimization: Master the &quot;Buy Box&quot; logic on Amazon and Noon; monitor competitor pricing, share of voice, and search rankings daily.</li><li>Account Health: Ensure 100% compliance with marketplace policies, manage seller ratings, and proactively resolve any listing suppressions or account flags.</li></ul><ul><li>D2C Website &amp; UX Optimization</li><li>Storefront Management: Lead the day-to-day operations of the official brand webstore (Shopify/Magento).</li><li>Conversion Rate Optimization (CRO): Implement A/B testing on landing pages to improve the &quot;add-to-cart&quot; journey for high-ticket items.</li><li>Technical SEO: Execute on-page and technical SEO strategies to ensure Spec Brite remains the top authority for relevant searches.</li></ul><ul><li>Performance Marketing Lead</li><li>Paid Media Execution: Design and manage PPC campaigns (Amazon Advertising, Google Shopping, and Meta Ads) specifically focused on ROAS (Return on Ad Spend).</li><li>Funnel Building: Create tailored landing pages and email automation flows for different customer segments (e.g., anti-aging, lymphatic drainage, skin texture).</li><li>Data Analytics: Move beyond basic reporting; provide deep-dive insights using GA4 and marketplace analytics to pivot strategies weekly based on performance.</li></ul><ul><li>Inventory &amp; Technical Operations</li><li>Stock Orchestration: Forecast demand for international shipments to prevent stock-outs of high-demand devices.</li><li>Fulfillment Oversight: Coordinate with the logistics team to ensure FBA (Fulfillment by Amazon) and Noon-now shipments are processed accurately and on time.</li><li>Tech Stack Management: Manage integrations between the website, CRM, and inventory management systems.</li></ul><ul><li>Premium Customer Journey</li><li>Value-Added Content: Work with the product team to ensure clinical trial data and &quot;How-To&quot; guides are accessible to customers post-purchase.</li><li>Review Management: Implement automated and manual strategies to generate high-quality, verified customer reviews and video testimonials.</li></ul>Specialist Requirements:<ul><li>Proven Track Record: 4+ years of hands-on experience in E-commerce, specifically in the UAE/GCC market.</li><li>Platform Expert: Advanced certification in Amazon Advertising or Google Ads is highly preferred.</li><li>Premium Brand Experience: Previous experience selling high-ticket items (Beauty Tech, Electronics, or Medical Devices) where &quot;education-based selling&quot; is required.</li><li>Analytical Mindset: Expert proficiency in performance tracking.</li><li>Agility: A &quot;lead specialist&quot; mindset&mdash;someone who can build the strategy at 9 AM and fix a website bug or upload a CSV at 10 AM.</li></ul>KPIs for Success<ul><li>Monthly Gross Merchandise Value (GMV) growth across all platforms.</li><li>Targeted ROAS on paid media spend.</li><li>Conversion Rate (CR) benchmarks per product category.</li><li>Marketplace Account Health Score (Maintained at &quot;Healthy/Excellent&quot;).</li></ul>Job Type: Full-time

E-commerce Lead Specialist

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