senior data engineer

data engineer

data quality engineer (databricks) Jobs in Dubai

data quality engineer (databricks)

senior data analyst

ai data engineer

data analyst

AIQU

<div>
 
 We are hiring
 
 Data Analyst
 
 to join one of our major clients based in
 
 Dubai, UAE.
 
 
 
 
 
 
 Job Location - Dubai, UAE
 
 
 Job Type - 12 months Contract (Extendable)
 
 
 
 
 
 
 About Role
 
 
 
 We are seeking a detail-oriented and analytical Data Analyst with experience in Anti-Money Laundering (AML) to support our AML team.
 
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 3&ndash;8 years of experience as a Data Analyst with AML domains.
 </li>
 <li>
 Strong proficiency in Azure Data Lake- SQL for data extraction, transformation, and analysis.
 </li>
 <li>
 Experience with data visualization and reporting tools such as Power BI.
 </li>
 <li>
 Knowledge of AML, KYC related domains.
 </li>
 <li>
 Bachelor's degree in Data Analytics, Computer Science, Statistics or a related field.
 </li>
 </ul>
 
 
 
 
 
 
</div>

Data Analyst

Hermès

<div>
 
 Job Title: D
 
 
 ata analyst
 
 
 
 
 REPORTS TO: SENIOR RETAIL EXCELLENCE MANAGER
 
 
 
 
 Location: DUBAI
 
 
 
 
 Organisation unit: Hermes middle east
 
 
 
 
 GENERAL MISSION
 
 
 
 Herm&egrave;s is looking for a Data Analyst to strengthen its understanding of both clients and business dynamics across our 6 stores in the Middle East region. The role combines customer‑centric analyses with deep business performance insights to support teams in elevating service, client experience, and retail excellence. By ensuring high data quality and transforming complex information into actionable recommendations, the Data Analyst will help the Maison make informed decisions that advance both customer knowledge and operational performance.
 
 
 
 Responsibilities
 
 
 
 
 Dashboards creation &amp; maintaining
 
 
 
 <ul>
 <li>
 Design and produce dashboards/reports to provide in-depth analysis of business performance and clients&rsquo; behaviour (e.g. client journey, spending patterns)
 </li>
 <li>
 Collaborate with Group and Europe Data Analytics Team to enrich the current dashboards with more insights
 </li>
 <li>
 Ensure the accuracy, consistency, and reliability of data presented in all dashboards and reports, implementing robust data validation processes.
 </li>
 <li>
 Proactively gather and translate evolving business requirements from various stakeholders into actionable specifications for new dashboard development and enhancements
 
 
 </li>
 </ul>
 
 CUSTOMER DATA QUALITY
 
 
 
 <ul>
 <li>
 Improve the customer database quality and animate the retail teams to share best practices in Customer data capture
 </li>
 <li>
 Ensure regular monitoring of the customer database by developing dedicated analyses and Reports
 </li>
 <li>
 Support and deploy Group projects locally, adapting to specific market needs
 </li>
 <li>
 Develop assets to train sales teams on customer data management
 
 
 </li>
 </ul>
 
 Customer Knowledge
 
 
 
 <ul>
 <li>
 Be responsible of customer knowledge for the subsidiary by sharing retail and customer orientated insights
 </li>
 <li>
 Analyse customer patterns and retail performances to support strategic decisions
 </li>
 <li>
 Proactively monitor and identify emerging client behaviors, market trends, and competitive landscapes to anticipate future opportunities and challenges
 </li>
 <li>
 Support customer targeting initiatives with CRM analyses and provide detailed customer profile analyses
 </li>
 <li>
 Accompany group analytics initiatives, such as customer segmentation, and animate them across the subsidiary
 </li>
 <li>
 Perform ad-hoc analysis to answer specific business questions or deepen understanding of behavior or trends that are not available in existing automated dashboards
 
 
 </li>
 </ul>
 
 Retail excellence &amp; Business performance
 
 
 
 <ul>
 <li>
 Analyse on a regular basis (e.g. weekly, monthly) the retail performance and key KPIs (e.g. sales, sales per metiers, traffic, conversion rate, UPT, average basket)
 </li>
 <li>
 Propose recommendations and build action plans
 </li>
 <li>
 Ensure harmonization and alignment of performance indicators across teams and stores, aligned with the Group
 </li>
 <li>
 Contribute to the preparation of business reviews, strategic committees, and management presentations, providing clear and data-backed narratives
 
 
 </li>
 </ul>
 
 Experience &amp; Requirements
 
 
 
 <ul>
 <li>
 Master's degree (Bac +5) in Engineering or in Science / Data Analysis / Computer Science, and a minimum of 3 to 5 years&rsquo; experience in a similar role
 </li>
 <li>
 Confirmed background in statistical methodologies and social behaviour analysis
 </li>
 <li>
 Proficiency in programming languages (SQL, Python, etc.) and BI and visualization tools (Power BI and/or Cognos IBM)
 </li>
 <li>
 Proficient in data analysis and reporting
 </li>
 <li>
 Ability to analyse and synthesize
 </li>
 <li>
 Customer and business orientated mindset
 </li>
 <li>
 Curiosity and adaptability
 </li>
 <li>
 Discretion and confidentiality
 </li>
 <li>
 Team spirit
 </li>
 <li>
 Fluent preferably in multiple languages with spoken and written English mandatory. Arabic &amp; French are a plus.
 </li>
 </ul>
</div>

Retail Data Analyst

Puffy

<div>
 
 
 Join the pioneer tribe. AI-First since December 2023.
 
 
 
 
 
 
 
 Position:
 
 Data Analyst (A/B Testing &amp; Experimentation)
 
 
 
 Total Annual Package: Up to AED 348,000 (Tax-Free) +
 
 comprehensive benefits
 
 
 &bull; Base: AED 20,000 &ndash; 25,000/month (AED 240,000 &ndash; 300,000/year)
 
 
 &bull; Performance bonus: up to 10% of base, paid monthly
 
 
 
 Location:
 
 Dubai, UAE (On-site) with relocation assistance and visa support
 
 
 
 
 
 
 About the Role:
 
 
 
 If you spend your days running A/B tests, analyzing conversion funnels, and digging into why users drop off before checkout &mdash; and you write your own SQL and Python to get those answers &mdash; this role is built for you. General analysts and program managers without hands-on technical and experimentation skills won't be a fit.
 
 
 
 
 
 You'll own Puffy's experimentation program from hypothesis to business recommendation. You pull data from Shopify, GA4, Google Ads, and BigQuery yourself. You design the test, run the statistical analysis, and tell the business what to change and why. Every recommendation you deliver has to be clear enough that marketing, UX, and development can act on it the same week.
 
 
 
 
 
 
 The Career Accelerator:
 
 
 
 Puffy runs a high volume of experiments across a $1B+ e-commerce platform. You'll be involved in more A/B tests, conversion analyses, and data pipeline builds in your first year than most analysts see in three. You'll work across departments &mdash; marketing, UX, development, operations &mdash; which means broader context and faster pattern recognition. The pace is demanding, and it rewards people who are genuinely curious and want to sharpen their craft quickly.
 
 
 
 
 
 
 What Is In It For You:
 
 
 
 This isn't just another analytics role. This is your chance to become a true industry architect.
 
 
 
 
 
 
 1. Own the Full Experimentation Cycle &mdash; Not Just the Dashboard.
 
 Most data analysts inherit someone else's reporting setup and maintain it. Here, you own hypothesis generation, test design, statistical analysis, and the business recommendation that follows. You build your own pipelines across Shopify, GA4, Google Ads, and BigQuery &mdash; no waiting in a queue for data, no presenting metrics without a point of view. You still report to the manager, but the experimentation output is yours to drive. Within 12 months, you'll have more hands-on testing reps than analysts accumulate in three years elsewhere.
 
 
 
 2. Join the Elite Organization and Partner with the 1%:
 
 
 <ol>
 <li>
 🏆 Top 5 Mattress Brand in the USA with Over $1 Billion USD in Sales
 </li>
 <li>
 🌍 Great Place to Work Certified
 </li>
 <li>
 💡 Work with Forbes Council Member CEO Gain firsthand exposure to strategic decisions and high-velocity execution that drives a global brand.
 </li>
 </ol>
 
 
 3. Experience a World-Class Lifestyle.
 
 Dubai offers a tax-free salary, world-class infrastructure, year-round sunshine, and a global lifestyle that most professionals only experience later in their careers. Your entire compensation package lands in your account &mdash; no deductions, no surprises.
 
 
 
 4. Become the Person Who Knows Why Things Convert.
 
 In most companies, analysts report numbers. Here, you're the person who tells the business what to change and why. When a test wins or loses, your analysis is the reason leadership moves. You'll build the instinct to separate signal from noise across segments, devices, and traffic sources &mdash; and the communication skills to make non-technical stakeholders act on what you find.
 
 
 
 
 
 
 What You'll Need:
 
 
 <ol>
 <li>
 3+ years in data analysis, experimentation, or CRO within e-commerce, D2C, or any high-traffic transactional website (fintech, marketplaces, SaaS, banking)
 </li>
 <li>
 Strong SQL &mdash; complex joins, window functions, CTEs across large datasets without relying on pre-built dashboards
 </li>
 <li>
 Working Python (or R) for data manipulation, statistical analysis, and automation
 </li>
 <li>
 Proven A/B testing experience &mdash; hypothesis design through statistical analysis to business recommendation; solid grasp of sample sizing, significance thresholds, and common pitfalls
 </li>
 <li>
 Hands-on GA4 experience &mdash; event-based tracking, custom explorations, and the ability to tie GA4 data to other sources
 </li>
 <li>
 Experience integrating ad platform data (Google Ads, Meta) with site analytics to see the full acquisition-to-conversion funnel
 </li>
 <li>
 Ability to independently connect to and pull from multiple data sources (APIs, warehouses, flat files) without engineering support
 </li>
 <li>
 Sharp analytical communication &mdash; complex findings distilled into concise recommendations for non-technical stakeholders
 </li>
 <li>
 Proactive and curious &mdash; you spot testing opportunities and chase root causes before anyone asks
 </li>
 </ol>
 
 
 
 
 
 Good-to-Have:
 
 
 <ol>
 <li>
 Experience with BigQuery or AWS data warehousing, including scheduled queries and data modeling
 </li>
 <li>
 Familiarity with session replay and heatmap tools (FullStory, Hotjar) for qualitative behavioral analysis
 </li>
 <li>
 Background in Looker, Tableau, or similar dashboarding tools
 </li>
 </ol>
 
 
 
 
 
 The Puffy DNA:
 
 
 
 We're restless, perpetually hungry, and fast-paced, driven by an unwavering belief that we can outperform any competitor &mdash; regardless of their size.
 
 <ol>
 <li>
 
 Be the Owner:
 
 We don't hire employees; we welcome owners. You're accountable for results, not activity.
 </li>
 <li>
 
 Execute with Urgency:
 
 We thrive in high-stakes environments by making thoughtful decisions quickly and acting decisively.
 </li>
 <li>
 
 Demand Excellence:
 
 We solve the hard problems that others can't, pushing the boundaries of our craft.
 </li>
 <li>
 
 Be AI-First:
 
 Daily multi-turn AI conversations challenge your assumptions.
 </li>
 <li>
 
 Go All-In:
 
 When the mission demands it, we rally as one team to cross the finish line.
 </li>
 </ol>
 
 
 
 
 
 ✨ Your Total Compensation &amp; Benefits:
 
 
 
 
 
 
 💰
 
 Compensation:
 
 
 <ol>
 <li>
 Monthly performance bonuses (up to 10%)
 </li>
 <li>
 Tax-free income
 </li>
 <li>
 Annual return flight allowance to your home country
 </li>
 <li>
 Parking allowance (up to AED 7,800 annually)
 </li>
 </ol>
 
 
 
 
 🏥
 
 Health &amp; Protection:
 
 
 <ol>
 <li>
 Premium worldwide health coverage (upto AED 1Million)
 </li>
 <li>
 Life insurance &amp; Personal Accident Insurance (24x monthly salary)
 </li>
 </ol>
 
 
 
 
 
 🌴 Time Off:
 
 
 <ol>
 <li>
 22 working days annual leave + UAE public holidays
 </li>
 </ol>
 
 
 
 
 
 🌍 Relocation Support (International Hires):
 
 
 <ol>
 <li>
 UAE work visa sponsorship
 </li>
 <li>
 International flights &amp; airport transfers
 </li>
 <li>
 14-day 4-star hotel accommodation
 </li>
 </ol>
 
 
 
 
 
 💼 Work Environment:
 
 
 <ol>
 <li>
 AI First organization with access to AI-native tool stack
 </li>
 <li>
 Premium office environment in Dubai Internet City
 </li>
 <li>
 Learning &amp; development opportunities
 </li>
 <li>
 International team collaboration (14+ nationalities)
 </li>
 </ol>
 
 
 
 
 
 🏆 Rewards &amp; Recognition:
 
 
 <ol>
 <li>
 Eligibility for selection to the Leaders Club &mdash; an elite recognition program featuring premium wellness memberships, exclusive networking with senior leadership, and annual leadership retreats
 </li>
 <li>
 Eligibility for nomination as 'We Are' Champion of the Month &mdash; monthly recognition with gift vouchers and company-wide celebration for exceptional contributions
 </li>
 </ol>
 
 
 
 
 
 ✅ Other Benefits:
 
 
 <ol>
 <li>
 End of Service Gratuity per UAE law
 </li>
 </ol>
 
 
 
 
 The alternative is another year where your potential is capped and your best hypotheses die in a backlog no one reads.
 
 
 
 
 
 
 Ready to Shape Your Story?
 
 Click "Apply" and take the first step.
 
</div>

Udrive

<div>
 
 Udrive
 
 is seeking a detail-oriented and motivated Junior Data Analyst to support cross-functional analytics needs for our business. This role will assist our analytics team in managing operational reporting, automating workflows, conducting exploratory analyses, and ensuring data integrity across platforms.
 
 
 You&rsquo;ll work closely with business teams including Operations, Product, Marketing, and Customer Service to deliver data-driven insights and maintain reporting excellence.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Reporting, Analysis Visualization: Build and maintain recurring reports and dashboards using Tableau Excel, and internal tools.
 </li>
 <li>
 Track key performance indicators (KPIs) across fleet, operations, marketing, and business lines.
 </li>
 <li>
 Assist in visual storytelling and communicating insights to stakeholders in a clear, digestible format.
 </li>
 <li>
 Conduct exploratory and ad-hoc analyses to support initiatives like fleet optimization, customer segmentation, marketing initiatives.
 </li>
 <li>
 Collaborate with marketing, product, engineering to derive actionable insights from raw datasets.
 </li>
 <li>
 Support the automation of recurring data processes using SQL, Python
 </li>
 <li>
 Data Quality Governance: Perform data audits to ensure consistency, accuracy, and completeness. Identify and flag anomalies, track data lineage, and maintain documentation for analytics workflows.
 </li>
 <li>
 Document Data Processes, Dashboards Requests
 </li>
 <li>
 Collaboration Support Partner with stakeholders in Operations, Marketing, Product, and CS to address analytical requests and performance queries.
 </li>
 <li>
 Help train teams in reading dashboards and interpreting KPIs.
 
 
 </li>
 </ul>
 
 Qualifications Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Engineering, or a related field.
 </li>
 <li>
 0&ndash;2 years of experience in a data analyst or business analyst role.
 </li>
 <li>
 Proficiency in SQL and working knowledge of Python (Pandas, NumPy, etc.).
 </li>
 <li>
 Experience with data visualization (Tableau, Power BI, SuperSet) Strong Excel/Google Sheets skills.
 </li>
 <li>
 Comfortable working with large datasets and drawing actionable insights.
 </li>
 <li>
 Detail-oriented, with a problem-solving mindset and a proactive attitude.
 </li>
 <li>
 Preferred Skills Exposure to SuperSet, GA4, NoSQL, CAC, LTV Jira, Confluence
 </li>
 <li>
 Understanding of business metrics in the mobility, logistics, or SaaS industry is a plus.
 </li>
 <li>
 Ability to work in a fast-paced startup environment.
 </li>
 <li>
 Understanding and experience of data pipelines / ETL concepts is preferred.
 </li>
 </ul>
</div>

Junior Data Analyst

Monarch Solicitors

About the roleWe're looking for a technically strong Developer &amp; Data Analyst who can turn our business data into clear, useful insight, automate the repetitive work that slows us down &mdash; and also own our day-to-day bookkeeping. This is a hands-on, build-things role: you'll write the automations, wrangle the data, maintain the reporting, and keep our financial records accurate and current. You'll work closely with [the owner / leadership / the operations team] and have visibility across the whole business.It suits someone who likes building and problem-solving as much as working with numbers &mdash; automating a tedious process, cleaning a messy dataset, and explaining what the results mean to people who aren't technical.What you'll doData &amp; analysis<ul><li>Pull, clean, and organise data from across the business (finance, sales, operations, marketing)</li><li>Build and maintain dashboards and reports that track our key metrics</li><li>Answer business questions with data &mdash; e.g. what's driving cost, revenue, or churn</li><li>Identify trends, inefficiencies, and opportunities, and present them clearly</li><li>Support decisions with well-reasoned analysis, not just charts</li></ul>Automation &amp; development<ul><li>Automate repetitive finance and reporting tasks &mdash; recurring reports, data pulls, reconciliation prep, invoice reminders</li><li>Build and maintain scripts, spreadsheet automations, and templates that cut manual data entry</li><li>Connect the tools we already use so data flows between them with less hand-holding (built-in integrations, APIs, or no-code tools like Zapier/Make)</li><li>Document what you automate and monitor it so failures get caught early</li><li>Spot manual processes that are eating time and propose sensible ways to streamline them</li></ul>Bookkeeping &amp; accounting<ul><li>Record and categorise daily transactions, keeping the books accurate and current</li><li>Perform monthly bank and account reconciliations</li><li>Manage accounts payable and receivable, including invoicing and chasing payments</li><li>Maintain the chart of accounts and keep records audit-ready</li><li>Prepare monthly financial summaries (P&amp;L, cash flow, balance sheet basics)</li><li>Coordinate with our external accountant/CPA at tax time and hand over clean records</li><li>Track expenses, flag anomalies, and help with budgeting</li></ul>What we're looking forRequired<ul><li>Strong technical skills in software engineering / IT &mdash; comfortable scripting and building automations</li><li>Comfort working with data: cleaning messy datasets, choosing sensible comparisons, explaining findings</li><li>Advanced spreadsheet skills (Excel/Google Sheets &mdash; pivot tables, lookups, clean modelling)</li><li>A degree in Computer Science, Data Analytics, Information Systems, or a related field &mdash; or equivalent proven experience</li><li>Solid working knowledge of accounting software, plus the bookkeeping fundamentals to keep our books accurate (hands-on experience or a Finance/Accounting background)</li><li>High attention to detail and a habit of double-checking your own work</li><li>Ability to communicate technical and financial insights to non-technical people</li></ul>Nice to have<ul><li>SQL or a data tool (Python, Power BI, Tableau, Looker, etc.)</li><li>Experience automating workflows with no-code tools (Zapier, Make) or light scripting</li><li>A relevant credential in Data Analytics, Information Systems, or Accounting/Finance</li><li>Experience working in a small-business or startup environment</li></ul>What success looks like<ul><li>Manual, repetitive tasks shrink over time as you automate them</li><li>Recurring questions get answered with reliable data instead of guesswork</li><li>Leadership can trust the numbers and the reporting</li><li>The books are always accurate and reconciled on time</li><li>You proactively surface things we should know about &mdash; risks, savings, and opportunities</li></ul>How to applySend your CV/resume and a short note about your relevant experience to enquiries@monarchsolicitors.com.Work Location: In personPay: AED3,000.00 - AED5,000.00 per monthWork Location: In person

Developer & Data Analyst

Keeta

<div>
 
 
 Logistics Data Analyst
 
 
 
 
 
 
 
 About Us
 
 
 
 Keeta, the international subsidiary of global delivery leader Meituan, is driven by a clear mission: We help people eat better, live better. Building on our parent company's 16 years of technological and operational expertise mastered in China, we are leading a global transformation in food and consumer product delivery. Since our start in 2023, Keeta has focused on creating value for every part of the communities we serve. We provide a reliable experience for consumers, enhance technology and operations for restaurants, and create more earning opportunities and greater safety for courier partners. This commitment to shared progress drives our journey from Hong Kong, China, across the Middle East and into Brazil, with the world ahead.
 
 
 
 
 
 
 What You'll Do
 
 
 <ol>
 <li>
 Analyze and derive insights from large, complex datasets to monitor end-to-end logistics performance &mdash; capacity, efficiency, experience, and rider behaviour &mdash; and translate findings into decisions that move the business.
 </li>
 <li>
 Design and maintain performance monitoring frameworks, build data visualizations and analytical tools, and own end-to-end data quality from extraction through to final output.
 </li>
 <li>
 Collaborate cross-functionally to align on operational priorities, communicate insights to non-technical stakeholders, and drive adoption of data-driven decision-making across teams.
 </li>
 <li>
 Participate in the formulation of capacity and experience strategies, track execution outcomes, diagnose gaps, and recommend corrective actions grounded in data evidence.
 </li>
 <li>
 Integrate AI tools into daily workflows to automate repetitive tasks, accelerate analysis, and improve output quality.
 </li>
 </ol>
 
 
 
 
 
 What We Need From You
 
 
 <ol>
 <li>
 Bachelor's degree in Information Systems, Computer Science, Business Analytics, Statistics, Economics, or a related quantitative field.
 </li>
 <li>
 2&ndash;3 years of hands-on experience in data analytics, with a demonstrated ability to turn analysis into actionable business recommendations for non-technical audiences.
 </li>
 <li>
 Bilingual in English and Chinese &mdash; strong written and verbal communication in both languages for daily collaboration with a global team.
 </li>
 <li>
 Growth mindset
 </li>
 <li>
 Proficiency in SQL, Python, and data visualization tools.
 </li>
 </ol>
 
 
 
 
 
 What Makes This Role Exciting
 
 
 <ul>
 <li>
 You'll work on real, high-impact business problems with immediate feedback loops &mdash; see the effect of your analysis on logistics operations in hours, not months.
 </li>
 <li>
 This is a ground-floor opportunity in Keeta's Middle East expansion, where your data frameworks will directly shape how a new market operates at scale.
 </li>
 <li>
 You'll sit at the intersection of data and operations, partnering with teams across Dubai, Riyadh, and Beijing &mdash; genuine cross-border, cross-cultural collaboration.
 </li>
 </ul>
 
 
 
 
 
 Why Join Keeta
 
 
 <ul>
 <li>
 
 Global scale, local impact
 
 &mdash; Keeta is Meituan's international arm, backed by 16 years of technology and operational expertise, and one of the fastest-growing food delivery platforms in the Middle East.
 </li>
 <li>
 
 Real ownership from day one
 
 &mdash; You'll build analytics frameworks, shape how logistics decisions are made, and directly influence operational outcomes at scale.
 </li>
 <li>
 
 Work with top talent globally
 
 &mdash; Collaborate with teammates from over 40 countries in a fast-moving, high-performance environment.
 </li>
 <li>
 
 Accelerate your career
 
 &mdash; We move fast, operate across multiple markets, and give ambitious people the space to grow beyond what a traditional role could offer.
 </li>
 </ul>
 
 
 
</div>

Logistics Data Analyst

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5><div>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
</div>As a Senior Data Analyst , you will be fully-participating member of a cross-functional team working autonomously on technology development and problem resolution in the Enterprise Data &amp; Analytics space. The role involves the analysis aspects of sourcing and transforming data to ensure it delivers on the insights required by Emirates Airlines and Emirates Group business stakeholders. 
 
In this role you will:
<ul><li>Understands business domains well (e.g. airline, passenger, pilot &amp; crew, aircrafts, HR, Finance). Work with product owners and business users to understand operational source system data and business transformation / data cleansing rules required to ensure that analytical solutions generate the insights required by the business. Operate with a data-driven mindset, helping the business generate those insights based on data.
</li><li>Assist in the collection of data dictionaries and creation of business glossaries. Maintain core data repositories as data sources and interfaces change over time.
</li><li>Understand and maintain data models and data interfaces for the analytical environment to understand availability of data for the required business reports.
</li><li>Conduct simple data gap analysis and data profiling to analyse availability and quality of incoming data and advise on any data cleansing rules, or issue resolution options in case of incidents (including analysis of potential data quality issues). Incorporate business transformation rules into solution designs or mapping documents to ensure solutions provide timely business value.
</li><li>Document proposed or modified data interfaces, including fit for data models, data flow timing, source-to-target mapping, uniqueness criteria and data transformation rules including data validations and controls.
</li><li>Provide feedback on logical and physical data models to ensure they effectively meet the analytical requirements and expectations.
</li><li>Collaborate with the quality engineers to identify areas which need to be validated and ensure data exposed to business stakeholders satisfies their analytical needs.
</li>Keep current on evolving Emirates Airlines and Emirates Group data and analytics business knowledge domains to accurately assess the quality of the data and ensure business glossaries remain up-to-date. 
<li>
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for the role, you must meet the below requirements:
<div><ul><li>Degree or Honours (12+3 or equivalent)
</li><li>Experience in Information Technology
</li><li>Degree in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering. Specialization or electives in a Data &amp; Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have
</li><li>3+ yrs in Data Analysis experience (Fewer years&rsquo; experience will be considered for Masters degree holders)
</li><li>Minimum 3+ years conducting data analysis tasks (e.g. source system identification, data dictionary / metadata collection, data profiling, source-to-target mapping)
</li><li>Proven track record developing and maintaining data documentation artefacts in organizations of similar size and complexity within project deadlines
</li><li>Deep expertise on business transformation rules and understanding of data solution designs
</li><li>Experience writing SQL queries to analyse data and provide results to business users or project team members
</li><li>Experience with building information designs for data-centric projects on one or more of the following (preferably within a airlines industry): Data Warehouses, Big Data Environment for Analytics, Data API, Business Intelligence Solutions
</li>Airline industry experience preferred (or expertise in a supporting function such as HR or Finance); needs to understand the business domains well to conduct data modelling and analysis activities 
<li>
</li></ul></div>Knowledge/Skills:
<div><ul><li>Good communication skills; able to clearly communicate rationale and approaches to peers and some business stakeholders
</li><li>Operates with a &ldquo;You Code It, You Own It&rdquo; mindset (i.e. supports the products they build)
</li><li>Demonstrated problem-solver; able to design and document solutions independently
</li><li>Strong work ethic, being results-oriented, and accuracy / attention to detail are critical
</li><li>Demonstrated initiative, able to work both independently and as a team member
</li><li>Team player; able to collaborate with others to remove blockers, solve complex data problems and debug/resolve issues
</li><li>Able to deliver solutions (and associated value) iteratively
</li>Is accountable and displays positive attitude 
<li>
</li></ul></div>Technology Domain Key Technologies/Tools:
Big Data &amp; Distributed Processing :Querying HDFS or ADLS file storage systems, with tools such as Hive or H-Base, ElasticSearch, Experience with AVRO / PARQUET file formats nice-to-have
Data Analysis, Modelling and Reporting :SQL, Snowflake, Data Vault 2.0, MicroStrategy, Power BI 
 
Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world.</div>

Senior Data Analyst

Explore 398+ Data analyst in Dubai this July. Find roles across top companies and apply now to boost your career.

398 data analyst jobs In Dubai

Data Analyst

Retail Data Analyst

Data Analyst

Junior Data Analyst

Developer & Data Analyst

Logistics Data Analyst

Senior Data Analyst