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MultiBank Group

<div>
 
 Welcome to
 
 MultiBank Group
 
 , a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
 
 
 
 
 
 Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 17+ financial regulators across 5 continents, and recipient of over 70 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a Data Analyst to join our quantitative dealing team and support the reliability and accuracy of business-critical trading data reporting. In this role, you will focus on monitoring, validating, and reconciling analytical outputs, ensuring consistency across datasets and timely resolution of discrepancies raised by stakeholders.
 
 
 
 
 
 You will work closely with Quantitative Analysts and multiple internal teams, playing a key role in the quantitative dealing team&rsquo;s daily operations while gaining hands-on exposure to production data, reporting pipelines, and analytical processes. Beyond maintaining reporting outputs, you will work on validating trading and risk metrics, investigating discrepancies, and supporting the continuous improvement of analytical frameworks used in daily decision-making. This role offers involvement with real trading data, critical risk management processes, and modern data infrastructure, making it an excellent opportunity for an early-career professional or recent graduate looking to grow within a quantitative dealing environment.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Monitor and validate daily and periodic reports to ensure accuracy, consistency, and alignment with agreed definitions and benchmarks.
 </li>
 <li>
 Perform first-level reconciliation and discrepancy analysis across multiple data sources, identifying root causes and documenting findings.
 </li>
 <li>
 Support reporting processes by maintaining datasets, applying changes to filters or parameters, and validating changes prior to release.
 </li>
 <li>
 Contribute to the quality and reliability of data inputs used in risk management and hedging decisions.
 </li>
 <li>
 Use Excel, SQL, and Python to extract, compare, and analyze structured datasets for reporting and reconciliation purposes.
 </li>
 <li>
 Support backtesting and critical verification of existing risk management and dealing algorithms, helping assess their behavior under different scenarios and historical conditions.
 </li>
 <li>
 Assist in documenting reporting logic, data assumptions, and procedural changes to improve transparency and reduce future discrepancies.
 </li>
 <li>
 Collaborate with Quantitative Analysts, dealers, and other stakeholders to support smooth daily operations and data-driven decision-making.
 </li>
 <li>
 Gain exposure to sophisticated cloud-based data and analytics services, contributing to the evolution of scalable and automated workflows.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Skills
 
 
 <ul>
 <li>
 Strong attention to detail and a methodical approach to working with data, particularly in accuracy-critical environments.
 </li>
 <li>
 Basic working knowledge of Python for data analysis and manipulation.
 </li>
 <li>
 Basic to intermediate SQL skills for querying and validating structured datasets.
 </li>
 <li>
 High proficiency in Excel, including data reconciliation, formulas, and structured analysis.
 </li>
 <li>
 Ability to work with multiple data sources and identify inconsistencies or anomalies.
 </li>
 <li>
 Strong motivation to learn, take ownership of tasks, and grow technical skills through hands-on experience.
 </li>
 <li>
 Good communication skills and the ability to clearly document findings and explain to technical and non-technical stakeholders.
 </li>
 <li>
 Degree in a quantitative field such as Data Science, Statistics, Economics, Finance, or a related discipline is preferred.
 </li>
 <li>
 A genuine interest in trading and financial markets is desirable.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work with an industry-leading global financial institution.
 </li>
 <li>
 Competitive salary and comprehensive employee benefits.
 </li>
 <li>
 Opportunities for professional growth and career advancement.
 </li>
 <li>
 Collaborative, inclusive, and dynamic work environment.
 </li>
 <li>
 Commitment to innovation and professional excellence.
 </li>
 </ul>
 
 
 
 
 
 Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
 
 
</div>

Data Analyst

Super Bytes

Job Title: Data analyst Location: Dubai (On-site) Salary: 2000-2500aed +perks Benefits:&nbsp;Company-provided accommodation, visa, food, and transportation.&nbsp;Requirements:&nbsp;<ul><li>1–2 years of experience as an Data analyst or similar role.</li><li>Excellent knowledge of MS Excel and Google Sheets (Advanced Level — formulas, pivot tables, dashboards, etc.).</li><li>Strong analytical and reporting skills.</li><li>Ability to handle large data sets and generate daily/weekly/monthly reports</li><li>Good communication and coordination skills</li><li>Attention to detail and accuracy in data management</li><li>Ability to work independently and meet deadlines</li></ul>&nbsp;Responsibilities:&nbsp;<ul><li>Prepare and maintain daily&nbsp;reports and dashboards.</li><li>Track team performance and operational metrics</li><li>Support management with accurate data insights and analysis</li><li>Coordinate with different departments for data collection and verification</li></ul>

Jr. Data Analyst

edari

<div>
 
 We are looking to hire a
 
 Marketing Data Analyst
 
 who will be responsible for delivering digital performance reporting, insight generation, and measurement support across multiple digital channels for our client based in the
 
 Dubai
 
 , one of the largest organisations in the region.
 
 
 
 
 
 This is a
 
 12-month contract and renewable based on performance.
 
 
 
 
 
 
 The role sits within the
 
 Brand &amp; Digital Marketing
 
 function and reports directly to the
 
 Senior Digital Analytics Manager
 
 .
 
 
 
 
 
 We are looking for a passionate
 
 Marketing Data Analyst
 
 who is curious about data, user behaviour, and digital performance. You should have hands-on experience in digital analytics, dashboard, and working closely with cross-functional marketing and product teams, along with a solid understanding of digital media and measurement frameworks.
 
 
 
 
 
 
 Key responsibilities:
 
 
 <ul>
 <li>
 Develop, manage, and optimize dashboards and reports to monitor performance across paid media, websites (.com), product funnels, and CRM channels.
 </li>
 <li>
 Analyze user behavior, conversion paths, and campaign outcomes to deliver actionable insights and recommendations for optimization.
 </li>
 <li>
 Support the setup, validation, and quality assurance of tracking tags, pixels, and analytics configurations on web and app platforms.
 </li>
 <li>
 Contribute to attribution analysis, incrementality testing, and measurement modeling to guide media mix and budget allocation decisions.
 </li>
 <li>
 Collaborate with marketing, media, product, hotel, and business unit teams to support campaign planning and performance evaluations.
 </li>
 <li>
 Ensure data quality and integrity across platforms, identifying and resolving discrepancies with internal teams, agencies, and analytics partners.
 </li>
 <li>
 Provide analytical input for A/B testing and conversion rate optimization (CRO) initiatives, measuring results and recommending next steps.
 </li>
 </ul>
 
 
 
 
 
 Knowledge, skills &amp; experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Marketing, Data, Analytics, or a related field
 </li>
 <li>
 3&ndash;4 years of experience in digital analytics, ideally within e-commerce, technology, travel, hospitality, or media environments
 </li>
 <li>
 
 Strong proficiency in GA4, Looker Studio, and Excel; experience with SQL, BigQuery, or other BI tools is an advantage
 
 </li>
 <li>
 Advance in Excel
 </li>
 <li>
 
 Solid understanding of digital marketing platforms such as Google Ads, Meta Business Manager, and TikTok Ads
 
 </li>
 <li>
 Strong analytical mindset with attention to detail and the ability to work with large datasets
 </li>
 <li>
 Excellent communication skills with the ability to translate data into clear, actionable insights
 </li>
 </ul>
 
 
 
 
 
 Availability:
 
 
 <ul>
 <li>
 Preference will be given to candidates who are available immediately.
 </li>
 </ul>
 
 
 
 
 We are looking for a candidate who will be able to work in the
 
 United Arab Emirates
 
 . Please apply with your resume and ensure your contact details are included.
 
 
 We will review your job application within
 
 7 working days
 
 . Should your profile meet the requirements of the role, a consultant from
 
 Edari
 
 will be in touch to gain a deeper understanding of your background, discuss the role in more detail, and outline potential next steps.
 
</div>

Marketing Data Analyst

eyewa

<div>
 
 
 Overview:
 
 
 
 We are seeking a Senior Data Analyst / Business Analyst to join our Data team as the critical bridge between business stakeholders and our data infrastructure across eyewa's omnichannel operations, reporting to the Head of Data. This role will be key in empowering business teams to make data-driven decisions while strengthening the Data team's ability to deliver impactful solutions, directly influencing how eyewa leverages its omnichannel data across 250+ stores in the GCC to drive operational excellence, customer insights, and business growth.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Act as the primary interface between business teams and the Data function
 </li>
 <li>
 Translate business needs and challenges into clear analytical requirements and solutions
 </li>
 <li>
 Own end-to-end data quality for analytics and reporting by defining validation frameworks, quality checks, standards, and documentation
 </li>
 <li>
 Proactively monitor, audit, and investigate data issues, partnering with Data Engineering to identify root causes, resolve inconsistencies, and improve long-term data reliability
 </li>
 <li>
 Scope and plan data initiatives by defining success criteria, feasibility, timelines, and technical requirements in partnership with Data Engineering
 </li>
 <li>
 Document business rules and requirements, and support UAT to ensure solutions meet business needs
 </li>
 <li>
 Deliver ad-hoc analyses, dashboards, reports, and automated insights aligned with core business KPIs
 </li>
 <li>
 Perform exploratory analysis to identify trends and opportunities, documenting methodologies, assumptions, and limitations to support ongoing BI improvement
 </li>
 <li>
 Build strong business acumen by developing a deep understanding of Eyewa&rsquo;s business model, operations, and strategic priorities, including customer segmentation, omnichannel dynamics, inventory, pricing, loyalty, supply chain, and e-commerce trends
 </li>
 <li>
 Enable data-driven decision making by sharing business insights with the Data team to shape analytical capabilities and infrastructure, and by actively participating in business review meetings to stay aligned with evolving priorities
 </li>
 <li>
 Drive collaboration and capability building by partnering with Data Analysts and Business Analysts across business verticals (marketing, operations, finance, etc.), sharing best practices and methodologies
 </li>
 <li>
 Enable scalable and integrated analytics by supporting cross-functional initiatives, contributing to integrated business reporting, and documenting processes and knowledge to build strong, reusable institutional learning
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Key Requirement
 
 
 <ul>
 <li>
 4+ years of experience in Data Analytics, Business Analytics, or a related field
 </li>
 <li>
 Advanced SQL skills with daily hands-on usage
 </li>
 <li>
 Strong Python proficiency for data analysis and automation
 </li>
 <li>
 Experience with BI tools and modern data warehouses/databases
 </li>
 <li>
 Excellent communication and stakeholder management skills
 </li>
 <li>
 Strong problem-solving mindset, curiosity, and ownership mentality
 </li>
 <li>
 Experience working closely with business domains (retail, e-commerce, or omnichannel preferred
 </li>
 <li>
 Familiarity with cloud platforms (AWS) is a plus
 </li>
 <li>
 Based in (or open to relocating to) the region; strong English communication skills required
 </li>
 </ul>
</div>

Senior Data Analyst

JCDecaux Africa

<div>
 
 
 
 Overview
 
 
 
 
 JCDecaux Middle East and Africa is seeking a Dubai-based, skilled Business Data Analyst to lead our data-driven initiatives across the region. This position will focus on developing and implementing strategies that leverage data analytics to enhance business growth, streamline operations, and provide valuable insights to stakeholders. The ideal candidate will have a strong analytical background with a proven ability to transform data into actionable insights that support decision-making.
 
 
 
 
 
 
 
 
 
 
 Minimum Requirements and Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Statistics, Business Administration, or a related field, with an advanced degree preferred.
 </li>
 <li>
 5-8 years of experience in a Business Analyst role or similar, with management experience.
 </li>
 <li>
 Must be based in Dubai.
 </li>
 <li>
 Proven experience in data analysis or a similar role, ideally within the advertising or media industry.
 </li>
 <li>
 Proficiency with data visualization tools such as Tableau, Power BI, or equivalent platforms.
 </li>
 <li>
 Strong experience in SQL Language.
 </li>
 <li>
 Experience in data warehousing, ETL processes, and database management.
 </li>
 <li>
 Knowledge of data governance and best practices in data management.
 </li>
 </ul>
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 
 Data Analysis &amp; Strategy
 
 
 <ul>
 <li>
 Collaborate with the regional IT director to create and implement a data strategy for the Middle East and Africa Region.
 </li>
 <li>
 Embed a governance framework ensuring accountability and data transparency across local teams.
 </li>
 <li>
 Gather, process, and analyse data from various sources (CRM, Sales system &amp; SAP) to provide insights that drive business decisions.
 </li>
 <li>
 Design and maintain data models, dashboards, and reports that focus on actionable insights.
 </li>
 </ul>
 
 
 
 
 
 Reporting and Visualization
 
 
 <ul>
 <li>
 Produce insightful dashboards and reports, ensuring data is presented in an accessible and user-friendly manner.
 </li>
 <li>
 Apply visualization techniques to simplify complex data, turning it into clear, digestible information.
 </li>
 </ul>
 
 
 
 
 
 Stakeholder Collaboration
 
 
 <ul>
 <li>
 Partner with cross-functional teams, including sales, marketing, and finance, to understand their needs and deliver tailored data solutions.
 </li>
 <li>
 Conduct training to boost data literacy and empower teams to utilize data effectively.
 </li>
 <li>
 Implement best practices for data management, ensuring security and integrity.
 </li>
 </ul>
 
 
 
 
 
 
 Skills and attributes
 
 
 
 <ul>
 <li>
 Excellent analytical and problem-solving capabilities.
 </li>
 <li>
 Ability to convert complex data into meaningful insights.
 </li>
 <li>
 Strong communication and presentation skills, with the capability to engage diverse stakeholders.
 </li>
 <li>
 Proactive and driven
 </li>
 <li>
 Highly self-motivated and energetic
 </li>
 <li>
 Ability to work quickly and accurately
 </li>
 <li>
 Strategic thinker
 </li>
 </ul>
 
 
 
 
 
 
 Organisational Position
 
 
 
 
 
 Reporting to:
 
 IT Director: Sales Data - Dubai
 
 
 
 Subordinates:
 
 None
 
 
 
</div>

Business Data Analyst - Dubai

Publicis Groupe Middle East

<div>
 
 Overview
 
 
 
 
 Data, Reporting &amp; Infrastructure
 
 
 
 <ul>
 <li>
 Own and maintain all data pipelines supporting paid media reporting and analytics, ensuring reliability, scalability, and accuracy.
 </li>
 <li>
 Manage and validate data integrations via APIs across media platforms, analytics tools, and visualization environments.
 </li>
 <li>
 Oversee dashboard development and maintenance, ensuring client-facing visualizations are fully accurate, up to date, and aligned with agreed KPIs.
 </li>
 <li>
 Act as the primary quality-control owner for all data outputs, proactively identifying and resolving discrepancies or errors.
 </li>
 <li>
 Work closely with activation and ad operations teams to ensure correct backend trafficking, tagging, and tracking implementation across all campaigns.
 
 
 </li>
 </ul>
 
 Planning &amp; Performance Reporting Management
 
 
 
 <ul>
 <li>
 Own and manage the client&rsquo;s Annual Media Planning Document, which includes yearly KPIs which is monitored and reported monthly to the client.
 </li>
 <li>
 Ensure KPIs are consistently reflected across planning documents, dashboards, and performance reports.
 </li>
 <li>
 Maintain historical performance benchmarks and ensure year-on-year comparability.
 
 
 </li>
 </ul>
 
 First-Party Data &amp; CDP Enablement
 
 
 
 <ul>
 <li>
 Act as support for the client&rsquo;s Customer Data Platform (CDP), ensuring first-party data is effectively leveraged across paid media.
 </li>
 <li>
 Support the activation, measurement, and optimization of first-party and audience-based media strategies.
 </li>
 <li>
 Translate complex first-party data outputs into actionable insights for planners and client stakeholders.
 </li>
 <li>
 Ensure data governance, consistency, and best practices are upheld when using customer data in paid media environments.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 
 Technical &amp; Product
 
 
 
 <ul>
 <li>
 Strong, hands-on understanding of paid media platforms and ecosystems.
 </li>
 <li>
 Proven experience working with:
 </li>
 <ul>
 <li>
 APIs and data integrations
 </li>
 <li>
 Data pipelines
 </li>
 <li>
 Visualization tools and dashboards
 </li>
 <li>
 Trafficking, tagging, and tracking frameworks
 </li>
 </ul>
 <li>
 Advanced, professional-level Excel skills (complex formulas, pivots, data validation, large datasets).
 
 </li>
 </ul>
 
 Client &amp; Internal Collaboration
 
 
 
 <ul>
 <li>
 Act as a trusted analytics partner to client stakeholders, confidently explaining data methodologies, KPIs, and performance trends.
 </li>
 <li>
 Collaborate closely with planning, activation, technology, and data teams to ensure seamless end-to-end delivery.
 </li>
 <li>
 Support senior leadership with analytical inputs for client presentations, reviews, and strategic discussions.
 </li>
 <li>
 Help establish and evolve analytics best practices within the planning team.
 </li>
 <li>
 Exceptional attention to detail with a track record of delivering accurate, error-free outputs.
 </li>
 <li>
 Strong communication skills, with the ability to translate data into clear insights for non-technical stakeholders and working collaborative within larger teams.
 
 
 </li>
 </ul>
 
 Innovative &amp; Analytical Mindset
 
 
 
 <ul>
 <li>
 Highly detail-oriented and methodical
 </li>
 <li>
 Passionate about data and continuous improvement
 </li>
 <li>
 Proactive problem-solver with strong ownership mindset
 </li>
 <li>
 Comfortable working in fast-paced, deadline-driven environments
 </li>
 <li>
 Collaborative and client-focused
 
 
 </li>
 </ul>
 
 People &amp; Leadership
 
 
 
 <ul>
 <li>
 Seeks others' feedback to develop self-awareness, strengths and address development area.
 </li>
 <li>
 Is able to proactively raise issues to improve effective team working and collaboration.
 </li>
 <li>
 Is able to communicate confidently in a clear, concise and articulate manner.
 </li>
 <li>
 Collaborates with stakeholders and embraces an inclusive based environment.
 </li>
 <li>
 Is able to make valuable contributions to discussions and brainstorming sessions, providing insight and point of view.
 </li>
 <li>
 Able to build relationships quickly with others and engages personally with peers and clients.
 </li>
 <li>
 Treats others with respect, listens to other perspectives, especially when they are different from own.
 </li>
 <li>
 Able to tackle problems in a timely manner and develop contingency plans that focus on problem resolution.
 </li>
 <li>
 Drives a culture of trust with Peers, clients and all other stakeholders.
 
 
 </li>
 </ul>
 
 Self
 
 
 
 <ul>
 <li>
 Is able to take ownership for actions and deals with consequences in a mature manner.
 </li>
 <li>
 Able to adjust performance based on experiences and feedback and showcases agility and flexibility.
 </li>
 <li>
 Displays openness to the ideas of others and leverages them when beneficial for the business.
 </li>
 <li>
 Showcases curiosity and open mindset towards new ways of doing things.
 </li>
 <li>
 Is able to set high impact objectives and goes above and beyond to exceed performance.
 </li>
 <li>
 Demonstrates the Growth Mindset and is able to take ownership of personal development and growth.
 </li>
 <li>
 Capable of constructively challenging the status-quo and takes risks to challenge internal and external perspectives.
 </li>
 <li>
 Approaches situations and individuals with honesty, integrity and humbleness.
 </li>
 <li>
 Displays resilience and maintains drives and a positive outlook when faced with challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 5+ years of experience in media analytics, marketing analytics, or performance measurement, ideally within a media agency or complex client environment.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 R-3862P-4387
</div>

Manager - Data Analyst

Moove

<div>
 
 About Moove
 
 
 
 Moove is building the world&rsquo;s largest fleet and best-in-class technologies that power mobility platforms. Its flagship Drive-to-Own (DTO) product democratises access to vehicle ownership with a revolutionary revenue based financing model, enabling underserved mobility entrepreneurs to thrive.
 
 
 Moove&rsquo;s growth has been fuelled by its global Uber partnership and support of leading investors and lenders, including Uber, Mubadala, BlackRock, MUFG, and many others. With operations now spanning 19 cities across 6 continents - Africa, Asia, Europe, North America, South America, and the Middle East - Moove continues to expand its offerings through strategic acquisitions and partnerships with industry leaders, including Waymo and Uber. Moove is transforming mobility to make it safer, more efficient and accessible to all, while providing economic opportunities and supporting skills development in the mobility sector.
 
 
 
 About The Role
 
 
 
 We are looking for a Senior Data Analyst who can independently lead the design and delivery of high-impact BI dashboards, data models, and actionable insights to drive strategic decision-making across the organization. This role goes beyond traditional reporting, it involves full ownership of business problems, from identifying critical questions to delivering data-driven solutions and ensuring actions are implemented based on insights. The ideal candidate is both technically strong and business-savvy, capable of working autonomously while engaging stakeholders in adopting a data-informed culture.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 This role exists to empower the business with reliable, timely, and actionable data insights that directly impact key decisions.
 
 
 Critical outcomes for the next 6-12 months include:
 
 
 <ul>
 <li>
 Developing and deploying self-service BI dashboards that are actively used by stakeholders across departments.
 </li>
 <li>
 Delivering data models and insights that directly influence strategic decisions.
 </li>
 <li>
 Establishing a proactive analytics culture where stakeholders seek and apply data in decision-making.
 
 
 </li>
 </ul>
 Core Responsibilities:
 
 
 <ul>
 <li>
 Proactively identify business opportunities and challenges that can be addressed with data.
 </li>
 <li>
 Identify the best methods for data visualization to provide meaningful insights.
 </li>
 <li>
 Build and ship self-service data models and reports that drive weekly business decisions.
 </li>
 <li>
 Own the full analytics lifecycle without requiring management intervention.
 </li>
 <li>
 Drive action based on insights, not just deliver reports.
 </li>
 <li>
 Continuously educate stakeholders on data-informed decision making.
 
 
 </li>
 </ul>
 
 What You Will Need For This Position
 
 
 
 5+ years of experience in data analytics, BI development, or a similar role.
 
 
 <ul>
 <li>
 Proven ability to own analytics projects end-to-end, from scoping to implementation.
 </li>
 <li>
 Strong technical skills in SQL, data modeling, and BI tools (e.g., Power BI, Tableau, or Looker).
 </li>
 <li>
 Excellent data visualization and storytelling skills.
 </li>
 <li>
 Strong business acumen and ability to translate data into actionable insights.
 </li>
 <li>
 Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
 
 
 </li>
 </ul>
 
 Key Metrics
 
 
 
 Delivery of at least three high-impact BI dashboards adopted by business stakeholders in the first year.
 
 
 <ul>
 <li>
 Demonstrable improvement in decision-making speed and quality across departments.
 </li>
 <li>
 Increase in self-service analytics adoption rate by at least 30% within 12 months.
 </li>
 <li>
 Positive stakeholder feedback on data accessibility and usefulness.
 
 
 </li>
 </ul>
 
 Who You'll Be Working with:
 
 
 
 Directly reporting to our Senior Staff Data Scientist, and closely working with our Technology Team.
 
 
 
 About The Team
 
 
 
 Our team is collaborative, positive, curious, and engaged. We think fast, work smart, laugh often, and are looking for like-minded people to join us in our mission to disrupt vehicle ownership and make financial freedom within reach.
 
 
 Moove is strongly committed to diversity within its community. The Company&rsquo;s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently.
 
 
 
 Pre-hiring Notice:
 
 Moove relies on the accuracy of information contained in employment applications, as well as the accuracy of other data presented throughout the hiring process and during employment. Any misrepresentations, falsifications, or material omissions in any information or data provided by an applicant may result in the applicant being excluded from further consideration for employment or if an individual has already been hired, termination of employment.
 
 
 
 EEO Statement:
 
 Moove is an equal opportunity employer and does not discriminate on the basis of gender, race, sexual orientation, marital status, religion, political affiliation or any other protected characteristic.
</div>

Senior Data Analyst | Dubai

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