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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

SUMWON STUDIOS

<div>
 
 
 Designation: Onsite Analyst
 
 
 
 
 Location: Dubai, UAE
 
 
 
 
 
 
 
 About SUMWON STUDIOS
 
 
 
 
 Sumwon Studios
 
 is one of the fastest-growing fashion groups globally, building and scaling culturally driven brands across fashion, digital commerce and media. Our portfolio includes
 
 MISSGUIDED, SUMWON, BALR, Baby Phat, Playboy, AiiRZ, KiZN
 
 , and
 
 KSTM.
 
 
 
 
 
 
 Operating at the intersection of fashion, technology and culture, we are building a modern global retail platform driven by speed, creativity, data and customer obsession.
 
 
 
 
 
 
 The Role
 
 
 
 We are looking for a commercially driven and highly analytical
 
 Onsite Analyst
 
 to lead onsite optimisation, trading analysis and growth initiatives across our digital ecosystem.
 
 
 
 
 
 This role will sit at the centre of eCommerce performance, owning initiatives that improve customer experience, conversion, product discovery and commercial performance across the trading funnel.
 
 
 
 
 
 The ideal candidate combines strong analytical thinking with hands-on execution and project management capabilities. You will work cross-functionally with product, technology, merchandising, creative, operations and marketing teams to identify growth opportunities, execute experiments and improve key business KPIs.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 Growth and Commercial Optimisation
 
 <ul>
 <li>
 Identify, prioritise and execute commercial growth opportunities across the trading funnel, with a strong focus on product performance, customer behaviour and onsite experience.
 </li>
 <li>
 Optimise key revenue levers including Average Order Value (AOV), conversion rate, sell-through, repeat purchase rate and customer lifetime value.
 </li>
 <li>
 Design, manage and evaluate structured experiments across pricing, promotions, bundling, category merchandising and checkout flows.
 </li>
 <li>
 Use website analytics, trading data and customer behaviour insights to identify friction points, conversion drop-offs and revenue opportunities across categories and customer journeys.
 </li>
 <li>
 Collaborate closely with product, technology, design, operations and merchandising teams to deliver improvements that enhance user experience and drive top line growth.
 </li>
 <li>
 Support site performance optimisation initiatives focused on navigational UX, PLP/PDP effectiveness, checkout flow efficiency and feature rollouts.
 </li>
 <li>
 Build and maintain performance dashboards tracking key trading and business KPIs across product lines, customer segments and channels.
 </li>
 <li>
 Support cross-functional coordination by aligning teams on timelines, priorities and trading activities.
 </li>
 </ul>
 
 Onsite Trading and Merchandising
 
 <ul>
 <li>
 Support the daily operations of the eCommerce site, ensuring smooth functionality and escalating issues where required.
 </li>
 <li>
 Monitor site performance and implement improvements to enhance customer experience and drive conversions.
 </li>
 <li>
 Coordinate creative requirements from ideation and briefing through to final deployment.
 </li>
 <li>
 Collaborate with design and copy teams to develop and implement creative merchandising strategies and campaigns.
 </li>
 <li>
 Prepare and present regular reports to stakeholders on site performance, merchandising activity and project outcomes.
 </li>
 <li>
 Support timelines and deliverables for onsite merchandising and creative projects, ensuring accurate and timely execution.
 </li>
 <li>
 Support the preparation and execution of A/B testing for visual content and onsite experiences.
 </li>
 <li>
 Track and analyse test results to inform future content and merchandising strategies.
 </li>
 <li>
 Ensure insights and learnings are documented and implemented within content shoot manuals to improve click-through rates and PDP conversion rates.
 </li>
 </ul>
 
 Pricing Analysis and Trading Insights
 
 <ul>
 <li>
 Analyse market trends, competitor pricing and customer behaviour to support pricing decisions and trading performance.
 </li>
 <li>
 Support regular pricing reviews based on market conditions and internal trading performance.
 </li>
 <li>
 Work closely with marketing and product teams to support promotional pricing and discount activity.
 </li>
 <li>
 Monitor and analyse sales data, pricing metrics and trading performance indicators to identify trends and opportunities.
 </li>
 <li>
 Prepare detailed reports and dashboards for stakeholders, highlighting key insights, risks and recommendations.
 </li>
 <li>
 Use reporting and analytics tools to identify pricing trends and opportunities.
 </li>
 <li>
 Conduct competitor benchmarking and market research to ensure pricing remains commercially competitive.
 </li>
 <li>
 Support product launches and trading initiatives with pricing analysis and reporting.
 </li>
 <li>
 Maintain pricing accuracy across systems and onsite platforms.
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll bring
 
 
 <ul>
 <li>
 1&ndash;2 years of experience in eCommerce, trading, merchandising, digital marketing or analytical roles, preferably within fashion, retail or consumer brands.
 </li>
 <li>
 Strong analytical skills with good attention to detail.
 </li>
 <li>
 Proficiency in Excel and Google Analytics. Experience with SQL, Looker or Tableau is advantageous.
 </li>
 <li>
 Strong understanding of onsite trading, merchandising and customer journey optimisation.
 </li>
 <li>
 Interest in onsite optimisation, customer behaviour and eCommerce analytics.
 </li>
 <li>
 Strong organisational and coordination skills.
 </li>
 <li>
 Good communication and collaboration skills.
 </li>
 <li>
 Ability to work in a fast-paced, entrepreneurial environment.
 </li>
 <li>
 Highly organised with strong attention to detail.
 </li>
 <li>
 Knowledge of fashion eCommerce trends and consumer behaviour is highly desirable.
 </li>
 </ul>
 
 
 
 
 
 What we'll bring
 
 
 <ul>
 <li>
 25 days of annual leave, increasing to 30 after your first year
 </li>
 <li>
 30% employee discount across all SUMWON STUDIOS brands
 </li>
 <li>
 Ongoing learning and development opportunities
 </li>
 <li>
 Company social events
 </li>
 <li>
 The coolest colleagues you can find
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 SUMWON STUDIOS
 
 is redefining fast fashion with a forward-thinking approach. Join a creative and ambitious team, and help us build a brand t
 
</div>

Onsite Analyst

Kpler

<div>
 At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.
 
 
 Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.
 
 
 
 Your future position
 
 
 
 Kpler&rsquo;s Oil &amp; Chemicals business unit is rapidly advancing its real-time analytics and is looking for a technically sharp, data-literate Refineries Analyst to join its growing global team.
 
 
 In this role, you will take absolute ownership of the data integrity, maintenance, and quality control of our bottom-up refinery models. You will synthesize Kpler&rsquo;s industry-leading proprietary data-including live crude flows, production, pipeline volumes, and inventory levels-into a cohesive modeling framework, utilizing our internal Linear Programming (LP) model as a core tool for tuning and optimization. By connecting upstream inputs and offline events with real-world refinery capacities and yields, you will ensure our models seamlessly integrate into Kpler&rsquo;s broader Supply &amp; Demand balances.
 
 
 Because you are joining us during an ambitious product expansion, you will play a foundational role in the evolution of our platform. This is a truly hybrid-minded position where you will serve as the subject matter expert bridging the gap between physical market reality and technical architecture-partnering closely with our Product Engineering team to build, refine, and validate our most sophisticated fundamental datasets.
 
 
 
 Your Mission Is To
 
 
 
 <ul>
 <li>
 Maintain data integrity, capacity, and offline event records for individual refinery models and regional balances, utilizing the internal Linear Programming model for tuning.
 </li>
 <li>
 Prioritize the validation and improvement of existing models; data quality and domain expertise are the critical drivers for this role.
 </li>
 <li>
 Lead the effort to backtest and guide models using external data sources (EIA, JODI, IRR, ANP) to ensure outputs align with physical market realities.
 </li>
 <li>
 Apply a deep understanding of distillation, reforming, FCC, and blending to optimize refinery circuit views and regional supply/demand dynamics.
 </li>
 <li>
 Source and leverage large datasets using Python, PostgreSQL and to automate data flows and improve model accuracy.
 </li>
 <li>
 Collaborate with Data, Product, Engineering, and Sales teams to provide insights for refineries product development.
 </li>
 <li>
 Respond to internal and external data requests and client queries in a timely manner.
 
 
 </li>
 </ul>
 
 Essential
 
 
 
 
 Experience &amp; Background
 
 
 
 <ul>
 <li>
 At least 3&ndash;5 years of experience as a Refinery Economist, Refining Analyst, LP Modeler or related roles.
 </li>
 <li>
 A deep understanding of physical refinery unit operations (Distillation, Reforming, FCC, Blending, etc.) and refinery economics (flows, pricing, regulations, and arbitrage dynamics).
 </li>
 <li>
 Practical experience using industry-standard Linear Programming software (Aspen PIMS, AVEVA Unified/Spiral, or Haverly GRTMPS) is essential to be functional in this role.
 </li>
 <li>
 Comfortable with Python and PostgreSQL
 </li>
 <li>
 Proven experience sourcing and leveraging external data (EIA/JODI/IRR) to model refineries.
 </li>
 <li>
 Strong background in data-driven modeling, validation, and managing input data integrity (e.g., capacity and offline events).
 
 
 </li>
 </ul>
 
 Desirable
 
 
 
 <ul>
 <li>
 Experience with refinery optimization, especially with a focus on circuit-wide views.
 </li>
 <li>
 Experience with data visualization.
 </li>
 <li>
 Past experience contributing to SaaS product or data improvement initiatives.
 </li>
 <li>
 Experience in leveraging AI tools (Claude, Cursor, etc) for data analysis &amp; management, and general workflow optimization
 
 
 </li>
 </ul>
 
 Behavioural Competencies
 
 
 
 <ul>
 <li>
 Ownership of day-to-day work and strong attention to detail.
 </li>
 <li>
 Self-starter, thrives in an ambitious, early-stage product environment without requiring direct supervision.
 </li>
 <li>
 Eagerness to invest significant time in individual refinery tuning and bottom-up modeling.
 </li>
 <li>
 Driven to find data to backtest and guide models.
 </li>
 <li>
 Client-facing confidence.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a technical or quantitative field, with proven experience applying modeling techniques in commercial or research environments
 
 
 </li>
 </ul>
 We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you&rsquo;ve found your ideal destination. Are you ready to embark on this exciting journey with us?
 
 
 
 We make things happen
 
 
 
 We act decisively and with purpose, going the extra mile.
 
 
 
 We build together
 
 
 
 We foster relationships and develop creative solutions to address market challenges.
 
 
 
 We are here to help
 
 
 
 We are accessible and supportive to colleagues and clients with a friendly approach.
 
 
 
 Our People Pledge
 
 
 
 Don&rsquo;t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don&rsquo;t match 100% of the job requirements. Don&rsquo;t let the confidence gap stand in your way, we&rsquo;d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.
 
 
 Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
</div>

Refineries Analyst

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

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>

<div><div>United Arab Emirates Digital &amp; IT 5 - 10 years Dubai On-site
</div>Data Analyst - AML (Arabic) to join one of our Esteemed client in Dubai<div><div> 
<div></div>
</div></div><div><div><div>About The Member Company
We are a global high-tech consultancy company with a team of entrepreneurial engineers, scientists, and digital experts from around the world. Together we form a fast-growing and proud community. We offer consultancy services to high-profile clients globally in diverse service areas, such as:
<ul><li>Technology &amp; Engineering</li>
<li>Energy &amp; Renewables</li>
<li>Life sciences &amp; Pharma</li>
<li>Digital &amp; IT</li>
</ul></div></div></div><div><div><div><div><div><h2 class="jobSectionHeader">About this vacancy</h2>
We are seeking a detail-oriented and analytical Data Analyst with experience in Anti-Money Laundering (AML) to support our AML team.
</div></div></div></div></div><div><div><div><div><div><h2 class="jobSectionHeader">What we expect from you</h2>
Bachelor&rsquo;s degree in data Analytics, Computer Science, Statistics, or a related field.
3&ndash;8 years of experience as a Data Analyst with AML domains.
Strong proficiency in Azure Data Lake- SQL for data extraction, transformation, and analysis.
Experience with data visualization and reporting tools such as Power BI.
Knowledge of AML, KYC related domains.
</div></div></div></div></div><div><div><div><div><div><h2 class="jobSectionHeader">What you can expect from us</h2>
TMC is an international high-tech consultancy company that brings expertise to its clients in order to support them with the realization of their technological challenges. As such, TMC is operating as an expert center at the disposition of its clients and we help them to be more competitive in an ever more global and faster-changing technological world. At TMC we believe that people are the driving force behind technological innovation. That is why we want to create the best possible conditions for tech talents to thrive in. We offer you a challenging and stimulating work environment in which you can be the director of your own career. As an Employeneur you are part of our TMC family. Next to our outstanding technical expertise, fun and engagement are meaningful parts of our culture.</div></div></div></div></div></div>

Data Analyst - AML (Arabic)

Mizuho Bank

<div><div>Profile Summary</div>
<ul>
<li>Assist with credit application preparation</li>
<li>Support execution and booking processes</li>
<li>Support Team Head and other members of the team with other assigned tasks</li> 
</ul>
<div></div><div>Duties and Responsibilities</div>
<ul>
<li>Contribute to department as Junior Credit Analyst by assisting with credit analysis, research and loan execution functions</li>
<li>Primary purpose/responsibility are including, but not limited to:
<ul><li><div><ul><li>Being a part of credit analysis and execution team, support to Relationship Manager, Head of Team other team members and Managing Director with loan execution.</li>
<li>Assist with credit application preparation, internal credit systems input and attachment collation</li>
<li>Support execution and booking processes, including preparing monitoring systems and coordinating booking requests with Booking Office</li>
<li>Communicate well with relevant credit department in London.</li>
<li>Conduct strong / timely monitoring of credit worthiness in accordance with internal credit rating procedure
</li><li>Comply with various regulations related to banking business
</li><li>Comply with internal rules.</li>
<li>Take responsibility for any other ad-hoc job tasks to be requested by Head of Team, Managing Director or other team members.</li></ul></div></li> 
</ul>
</li></ul><div></div><div>Qualifications, Skills and Experience</div>
<ul>
<li>Bachelors Degree or equivalent
</li><li>Great organisational and time management skills</li>
<li>Excellent communication skills</li>
<li>Strong numerical and analytical skills</li>
<li>Demonstrable ability to learn, innovate, support change and problem solve</li>
<li>Collaborative nature to contribute to a successful team performance
</li><li>Knowledge of the Banking Industry</li>
<li>High level of computer literacy and skills in data manipulation / presentation</li>
<li>Customer-centric career experience an asset but not essential</li>
<li>Language skills are an asset, but not essential</li></ul> 
<div></div>

At Mizuho, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs. 


At Mizuho we are committed to supporting equality, diversity and equality, and seek to create a workplace that is fully inclusive. We welcome applications from all sections of the community that we operate in and from all ethnic backgrounds, sexual orientation, beliefs, gender identities and disabilities. 


If you require more information about our equal opportunities policy or wish to discuss any accessibility requirements or reasonable adjustments please contact the recruitment team &ndash; recruitment@mizuhoemea.com and we will be happy to help.</div>

Credit Execution - Analyst

Explore 70+ Analyst in Dubai this July. Find roles across top companies and apply now to boost your career.

70 analyst jobs In Dubai

Data Analyst

Onsite Analyst

Refineries Analyst

Junior Data Analyst

Data Analyst

Data Analyst - AML (Arabic)

Credit Execution - Analyst