accountant

senior accountant

junior accountant

assistant accountant

accounts assistant

credit analyst

Tamara

<div>About Us

Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.

Tamara is Saudi Arabia&rsquo;s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.

We are seeking a highly analytical and technically proficient Credit Risk Data Analyst to support our Portfolio Oversight team. In this role, you will be responsible for managing the health and performance of the credit portfolio. You will not only build the &quot;Single Source of Truth&quot; for risk data but also translate complex datasets into actionable strategies for underwriting, limit management, and loss forecasting. 

<h3 class="jobSectionHeader">
Key Responsibilities</h3>
<ul><li>Develop Portfolio Monitoring reports for internal and external communications</li>
<li>Design and optimize data-driven credit strategies, including underwriting criteria, credit limit assignments, risk-based pricing &amp; merchant risk strategy</li>
<li>Conduct deep-dive analysis on risk exposure versus profitability to identify opportunities for product expansion or de-risking.</li>
<li>Develop and track Early Warning Indicators to detect abnormal risk trends and shifts in macroeconomic conditions</li>
<li>Conduct rigorous A/B testing to verify hypotheses and evaluate the impact of strategy changes on portfolio profitability and delinquency</li>
<li>Assess business operations &amp; market trends to enhance competitive positioning</li>
<li>Build and optimize automated data pipelines to enhance the efficiency and scalability of risk monitoring</li>
<li>Perform continuous system analysis to identify data inconsistencies and drive initiatives that elevate data governance standards</li>
<li>Partner with Cross-functional teams (Data Science, Data, Finance, Product, Technology teams) to ensure credit risk data is correctly accounted in reporting</li></ul> 

<h3 class="jobSectionHeader">
Requirements</h3>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field (Statistics, Data Science, Math, Quantitative Finance, or Related fields).</li>
<li>3+ years of post qualification experience handling analytics and/or credit risk.</li>
<li>Strong analytical skills &amp; experience in data management</li>
<li>Prior Experience in Retail/SME Banking, Fintech, or Credit Ratings is a plus</li>
<li>Familiarity with the end-to-end credit life cycle, including anti-fraud, collections, merchant health and post-loan management</li>
<li>Proficiency in SQL, Excel (Advanced/VBA), PPT, Tableau &amp; Python(optional)</li>
</ul><ul><li>Exceptional attention to detail with the ability to identify data anomalies quickly.</li>
<li>Effective communication skills to present technical insights to non-technical business partners</li>
<li>Ability to navigate ambiguity, develop testable hypothesis &amp; drive actionable insights</li></ul></div>

Senior Data Scientist

Ezra

<div>Predictive Analyst 


Location: Dubai, United Arab Emirates or Nairobi, Kenya

Reports to: Director of Prediction &amp; Data 

<h3 class="jobSectionHeader">
About the role:</h3>

We are seeking an experienced Data / Decision Scientist to join our team. As a Predictive Analyst, you will be working with and enhancing our prediction pipelines code base, to enable prediction at scale across our many jurisdictions and within EZRA's array of credit products (term and revolving), and to drive new and existing business performance - specifically focused on balancing revenue and bad debt, i.e. net revenue optimisation.

You will be responsible for designing and developing tools to enable fast model development, conducting experiments, and developing data-driven solutions to solve complex problems.

The ideal candidate should have strong analytical and problem-solving skills, in addition to high proficiency in Python and SQL, with experience in developing machine learning systems utilizing software engineering principles.

Previous experience in fintech, specifically credit decisioning systems, airtime credit services or mobile money lending leveraging alternate data is further advantageous. 

<h3 class="jobSectionHeader">
Key responsibilities:</h3>
<ul><li>Data Strategy &amp; Preparation: Review and identify key datasets from partners to develop robust ML models. Collect, preprocess, and analyze large, complex datasets to ensure data integrity.</li>
<li>Feature Engineering: Define features and perform advanced clustering, feature reduction, and selection techniques.</li>
<li>Model Development: Build predictive models to improve partner and product performance, developing specific &quot;Ezra Prediction&quot; modules in Python for automated ML systems.</li>
<li>Experimental Design: Design and conduct experiments (A/B testing) to validate models and hypotheses, enhancing overall market understanding.</li>
<li>Deployment &amp; Collaboration: Partner with cross-functional teams to implement and deploy machine learning solutions into production environments.</li>
<li>Insight Communication: Translate complex findings into actionable insights for both technical and non-technical stakeholders through reports and visualizations.</li>
<li>Optimization: Continuously monitor and iterate on model performance, prediction systems, and underlying algorithms.</li></ul> 

<h3 class="jobSectionHeader">
Essential Qualifications and Experience:</h3>
<ul><li>Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.</li>
<li>Professional Experience: 5+ years of experience in a Data / Decision Science or Machine Learning Engineering role with a proven track record.</li>
<li>Technical Proficiency:</li>
<li><ul><li>Expert-level Python programming skills.</li>
<li>Advanced SQL skills (Postgres, Redshift, or similar).</li>
<li>Deep understanding of data structures (lists, dictionaries, arrays, data frames).</li>
<li>Data visualization / analysis / statistical inference.</li>
</ul></li><li>Core Competencies: Strong analytical and problem-solving skills, with the ability to work effectively both independently and within a team.</li>
<li>Communication: Exceptional story-telling and presentation skills, specifically the ability to bridge the gap between technical complexity and business logic.</li>
</ul><h3 class="jobSectionHeader">Beneficial Qualifications and Experience:</h3>
<ul><li>MLOps &amp; Production: Experience operationalizing ML models into production with measurable impact on product and financial optimization.</li>
<li>DevOps Tools: Proficiency with Source Control Management (Git/Bitbucket) and CI/CD pipelines (e.g., Jenkins).</li>
<li>Architecture: Understanding of Feature Store architecture and implementation.</li>
<li>Environment: Experience working in Linux OS variants (Debian) and comfort utilizing the command line.</li>
<li>Agility: Ability to balance &quot;start-up&quot; stage project work with the development of long-term scalable ML modules.</li>
<li>Language Skills: Proficiency in French is beneficial to support operations across various jurisdictions.</li>
</ul><h3 class="jobSectionHeader">The Ideal Candidate:</h3>
<ul><li>Innovation-Driven: Passionate about deploying customer-centric products that exceed quality and delivery expectations.</li>
<li>Growth Mindset: Proud of their work but driven by continuous improvement; able to self-critique and accept constructive feedback.</li>
<li>Detail-Oriented: High attention to detail with a commitment to process, procedure, and documentation as pillars of excellence.</li>
<li>Adaptable: Comfortable stepping outside of their comfort zone to learn new tasks and technologies.</li>
</ul><h3 class="jobSectionHeader">Company overview:</h3>

Ezra provides B2B digital lending solutions for emerging markets in partnership with mobile and digital wallet operators and financial service providers. Ezra supports 24 operations in 23 countries, across Africa, the Middle East and Asia. Our key office locations are in Nairobi, Kenya and Dubai, UAE.

Our flagship products are Airtime Credit Services (ACS), Nano and BNPL.
<ul>
<li>ACS is an airtime or data advance offered to prepaid mobile subscribers at the point of low credit.</li>
<li>Nano is a micro cash advance offered to mobile wallet users on demand.</li>
<li>BNPL facilitates payment installments for products and services</li></ul> 


As a FinTech company, our business is entirely technology and data driven, from determining subscriber eligibility, generating relevant offers, managing risk, loan issuance, recovery, optimizing performance and reporting, reconciliation and billing. 


Each day we process approximately 21M loan requests and 1.4 TB of data across our markets. This process needs to be robust, reliable and secure. 


But it doesn't end there. We're exploring new ways of using our platform and transactional data to improve our products and develop new product opportunities.</div>

Predictive Analyst

Impronics Technologies

<div><div>Job Summary</div><div>
We are looking for an experienced Business Analyst with strong expertise in banking processes and AI-driven solutions. The ideal candidate will work closely with business stakeholders, technology teams, and data science teams to gather requirements, analyze business processes, and support the implementation of AI/ML-based banking solutions. The role requires strong analytical skills, stakeholder management, and knowledge of digital banking and regulatory frameworks.</div><div></div><div> 
Key Responsibilities</div><div>
Business Analysis &amp; Requirement Gathering</div><ul><li>
Gather, analyze, and document business requirements for AI-driven banking solutions.</li><li>
Translate business needs into functional specifications, BRDs, FRDs, user stories, and process flows.</li><li>
Conduct gap analysis, feasibility studies, and impact assessments for AI use cases.</li><li>
Collaborate with product, technology, and data science teams to align AI capabilities with business objectives.</li><li>
Support UAT planning, test case preparation, and validation of AI-enabled solutions.</li></ul><div>
AI &amp; Data-Driven Solutioning</div><ul><li>
Identify opportunities to implement AI/ML, NLP, predictive analytics, and automation across banking operations.</li><li>
Work with data science teams to define model requirements, training datasets, and performance metrics.</li><li>
Support AI solution development for:<ul><li>
Chatbots &amp; voicebots</li><li>
Fraud detection &amp; risk scoring</li><li>
Credit decisioning models</li><li>
Customer segmentation &amp; personalization</li><li>
Intelligent process automation</li></ul></li><li>
Validate AI model outputs to ensure alignment with business and regulatory expectations.</li></ul><div>
Banking Domain Expertise</div><ul><li>
Analyze and optimize banking processes across retail banking, corporate banking, lending, payments, onboarding, KYC/AML, and digital banking channels.</li><li>
Ensure compliance with banking regulations, risk frameworks, and data privacy standards such as GDPR, PCI-DSS, SWIFT CSP, and PDPL.</li><li>
Work closely with compliance and risk teams to support responsible AI governance.</li></ul><div>
Stakeholder Management</div><ul><li>
Act as a bridge between business teams, technology teams, and AI/data teams.</li><li>
Conduct workshops, requirement gathering sessions, and stakeholder discussions.</li><li>
Prepare business cases, executive presentations, and ROI assessments for AI initiatives.</li></ul><div>
Required Skills &amp; Experience</div><ul><li>
6&ndash;10+ years of experience as a Business Analyst, including at least 2+ years in AI/ML or data-driven projects.</li><li>
Strong understanding of banking operations, digital channels, lending, payments, and regulatory frameworks.</li><li>
Hands-on experience with:<ul><li>
AI/ML concepts and model lifecycle</li><li>
NLP, chatbots, RPA, predictive analytics</li><li>
Data visualization tools such as Power BI or Tableau</li><li>
Agile/Scrum methodologies</li></ul></li><li>
Strong experience in documentation including BRDs, FRDs, BPMN, UML, and user stories.</li><li>
Excellent analytical, problem-solving, and communication skills.</li></ul><div>
Preferred Qualifications</div><ul><li>
Experience with AI platforms such as Azure AI, AWS AI/ML, or Google Vertex AI.</li><li>
Certifications such as CBAP, CCBA, PMI-PBA, Scrum Master, or AI-related certifications.</li><li>
Exposure to cloud-based data platforms and MLOps environments.</li></ul><div>
Soft Skills</div><ul><li>
Strong stakeholder engagement and communication skills.</li><li>
Ability to simplify complex AI concepts for non-technical stakeholders.</li><li>
Detail-oriented, proactive, and adaptable in fast-paced banking environments.</li><li>
Strong multitasking and time management abilities.</li></ul></div>

Business Analyst – AI Solutions

DICETEK LLC

<div>Data Analyst / Business Intelligence Analyst
We are seeking a highly analytical and results-driven Data Analyst / Business Intelligence Analyst with strong expertise in data visualization, reporting, ETL processes, and data warehousing. The ideal candidate will have experience transforming complex datasets into actionable business insights using tools such as Tableau, Power BI, SQL, and cloud-based databases.
Key Responsibilities:<ul><li>
Gather and analyze reporting requirements from business stakeholders and management teams.</li><li>
Design, develop, and maintain interactive dashboards, reports, and BI solutions using Tableau and Power BI.</li><li>
Develop and optimize ETL pipelines, data warehouses, and data marts.</li><li>
Perform data extraction, transformation, validation, and analysis from multiple data sources.</li><li>
Conduct exploratory and descriptive data analysis to identify trends, customer behavior, revenue patterns, and business opportunities.</li><li>
Generate operational, financial, sales, and customer analytics reports for various business functions.</li><li>
Support ad-hoc reporting requests and provide actionable insights to leadership teams.</li><li>
Create and maintain data models including dimensions, facts, joins, and relationships.</li><li>
Collaborate with cross-functional teams including Sales, Finance, Marketing, HR, and Customer Success.</li><li>
Ensure data accuracy, integrity, and consistency through testing and validation processes.</li></ul>
Required Skills &amp; Expertise:<ul><li>
Strong experience with SQL, PostgreSQL, Oracle SQL Developer, and Amazon Redshift.</li><li>
Hands-on experience with Tableau, Power BI, and advanced Excel reporting.</li><li>
Knowledge of ETL tools and data warehousing concepts.</li><li>
Experience in dashboard development, KPI reporting, and business analytics.</li><li>
Understanding of data modeling, data marts, and BI architecture.</li><li>
Familiarity with AWS cloud environments and reporting ecosystems.</li><li>
Strong analytical, problem-solving, and communication skills.</li></ul>
Preferred Qualifications:<ul><li>
Bachelor&rsquo;s degree in Software Engineering, Computer Science, Data Science, or related field.</li><li>
Master&rsquo;s degree in Data Science is preferred.</li><li>
Tableau Desktop Specialist or similar BI certifications are an advantage.</li><li>
Experience with customer analytics, churn analysis, cohort analysis, and revenue reporting is preferred.</li></ul>
Experience Required:<ul><li>
4&ndash;6 years of experience in Data Analytics, Business Intelligence, or Reporting roles.</li></ul></div>

Data Analyst / Business Intelligence Analyst

Transguard Workforce Solutions

<div>
 
 Transguard Workforce Solutions is the UAE&rsquo;s leading provider of unique and innovative HR solutions. With a decade of experience in the region and a team that possesses extensive knowledge of the market, we provide a fully integrated HR solution.
 
 
 
 
 
 We are currently recruiting for a
 
 Finance Analyst (1-year contract)
 
 for our client, based in Dubai.
 
 
 
 
 
 
 Purpose-
 
 
 
 
 
 
 The job holder plays a key role in preparation and analysis of company&rsquo;s financial accounting and maintains books of accounts on ERP systems with very minimum supervision. In addition to that provides necessary support to Finance Controller and other departments in maintaining unified controls, governance, accounting standards relevant to all business issues/concerns.
 
 
 
 
 
 
 Responsibilities-
 
 
 
 
 
 
 
 Financial Accounting Activities
 
 
 
 
 
 <ul>
 <li>
 Passing JV&rsquo;s as required to conclude month end and year end closing.
 </li>
 <li>
 Prepare GL schedules and reconciliations for balance sheet items and highlight to Controller.
 </li>
 <li>
 Responsible for finalization of annual accounts, as per local standards (where applicable) and international standards like IFRS in line with external reporting timelines.
 </li>
 <li>
 Participates in projects that require input and advice from Finance.
 </li>
 </ul>
 
 
 
 
 
 Accounts Payable
 
 
 
 
 
 <ul>
 <li>
 Follow up with Group Financial Services to ensure that all payments are released on time.
 </li>
 <li>
 Generate report showing consignment stock report and analyse the turnover, the quantity and value associated with it.
 </li>
 <li>
 Check and analyse invoices mismatch list and provide with the clear clarifications and corrections of the same.
 </li>
 <li>
 Conduct intense analysis on AP accounts as well as supplier aging reports and provide with an action plan.
 </li>
 </ul>
 
 
 
 
 
 Fixed Assets &amp; Projects Capitalization
 
 
 
 
 
 <ul>
 <li>
 Closely interacts with operations and technical services departments/IT regarding projects which are commissioned and ensure its timely capitalization.
 </li>
 <li>
 Ensures that all projects are capitalized within the set time frame as laid out in the company's procedures by providing details of ER's and follow up with these departments.
 </li>
 <li>
 Issue monthly status to report on capitalisation.
 </li>
 <li>
 Assist the business units in asset upload and ensure that necessary details are included while upload.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Cash &amp; Bank Reconciliations
 
 
 
 
 
 <ul>
 <li>
 Preparing Bank Reconciliation all 3 Bank Account on daily basis. Inclusive of different MOP&rsquo;s.
 </li>
 <li>
 Intimating Cashier for preparing receipt for Bank transfer all 3 Banks.
 </li>
 <li>
 Petty Cash Reimbursement claim checking for Account codes and Approval as per DOA.
 </li>
 <li>
 Perform a daily reconciling between the daily transactions from the system/website to what is received in NI portal and from NI portal to designated bank account.
 </li>
 </ul>
 
 
 
 
 
 Insurance
 
 
 
 
 
 <ul>
 <li>
 Insurance Declaration.
 </li>
 <li>
 Insurance claim liaising with Group Insurance.
 </li>
 <li>
 Product in Transit Insurance Declaration.
 </li>
 </ul>
 
 
 
 
 
 Audit
 
 
 
 
 
 <ul>
 <li>
 Dealing with the various Auditors such as the external, internal and Govt. auditors to resolve the queries raised by such auditors on various matters.
 </li>
 <li>
 Provide TB, required GL schedules, and other audit requirements for external Hard close and year end audit on timely manner.
 </li>
 <li>
 Manage Mid-Year, Hard close and Year end audit.
 </li>
 </ul>
 
 
 
 
 
 Inventory
 
 
 
 
 
 <ul>
 <li>
 Obsolete Stores and Inventory Provision Review.
 </li>
 <li>
 Inventory Schedule Preparation.
 </li>
 <li>
 Passing Obsolete Stock Provision JV.
 </li>
 <li>
 Physical Stock Verification.
 </li>
 </ul>
 
 
 
 
 
 VAT Management
 
 
 
 
 
 <ul>
 <li>
 Prepares information on VAT to internal, external and government audit.
 </li>
 <li>
 Ensure vendor invoices received for any payment discrepancy, verified if VAT is calculated correctly and accordingly payment is processed.
 </li>
 <li>
 Ensure accounting and posting of all vendor TAX invoices updated and entered in the system.
 </li>
 <li>
 Verify and issue TAX credit notes against any vendor payments TAX invoice variances, which refer to the original supply.
 </li>
 </ul>
 
 
 
 
 Skills-
 
 
 
 
 <ul>
 <li>
 Accounting Background with professional qualification in hand. (ACCA,CA,CPA,CMA&hellip;etc)
 </li>
 <li>
 5 to 10 years experience within Financial Accounting. At least medium &ndash; large size organization.
 </li>
 <li>
 Manage month end closing books of accounts. (Passing JV&rsquo;s, accruals. Etc)
 </li>
 <li>
 Experience in preparing GL schedules, Cash and Bank reconciliations, Accounts Payables, Fixed assets and project capitalization, Insurance, VAT and Tax returns, External Audit requirements, Treasury and Inventory.
 </li>
 </ul>
</div>

Finance Analyst- 1 year Contract

confidentiial

One of the leading perfume and cosmetic manufacturing company based in Dubai immediately looking for a GCMS analyst. Below mentioning the details;JOB DESCRIPTIONGCMS Analyst:-&middot; 1.Determines quantitative and qualitative components of perfume oils, specialties and aromatic chemicals by interpreting GCMS results.&middot; 2. Assists fragrance QC by providing GC-MS analysis of problem batches, raw material quality issues, etc.&middot; 3. Assists in developing future analytical methods and protocols as needed.&middot; 4. Assists in developing new method for Qualitative and quantitative analysis.EDUCATIONB.S. or M.sc in Chemistry, Food science, B. pharma or in related areaREQUIREMENTS&middot; 1. 1-2 years minimum olfactive and organoleptic evaluations and GC, GC-MS analysis of Fragrances.&middot; 2. GC-MS operation and data interpretation proficiency.&middot; 3. Oral and written communication skills.&middot; 4. Proficiency in fragrance and flavor raw materials, olfactive and organoleptic evaluation.Interested candidates please apply for the post immediatelyJob Type: Full-timePay: AED3,500.00 - AED5,000.00 per monthWork Location: In person

GCMS Analyst

PaymentGenes

<div>DubaiPermanentAnalysisPosted 29/05/2026</div>
 <div>Senior Data Analyst joining the BI team to provide independent, end-to-end analytical support to business stakeholders across finera. The role combines strong analytical thinking, SQL fluency, and deliberate use of AI tooling &mdash; Claude-generated artefacts, AI-assisted SQL drafting &mdash; as a force multiplier; the expectation is to do more with AI, not less rigorous work. The analyst operates across the full landscape of finera&rsquo;s information systems, translating business questions into reliable, repeatable answers, and acts as a trusted analytical partner to department heads rather than a ticket-taker. 
 
Required Experience:
<ul><li>5+ years experience as a Data Analyst, BI Analyst, or equivalent IC role, ideally in fintech, payments, or another regulated, data-intensive industry.
</li><li>Bachelor&rsquo;s degree in a quantitative discipline (Computer Science, Statistics, Mathematics, Economics, Engineering) or equivalent demonstrable experience.
</li><li>Demonstrated track record of working independently with non-technical business stakeholders to translate ambiguous questions into structured analyses and decisions.
</li><li>Hands-on experience operating across multiple, heterogeneous data systems (relational databases, SaaS platforms, file-based exports) without requiring engineering hand-holding for data extraction.
</li><li>Comfortable working in an environment subject to PCI DSS and other regulatory controls, with appropriate handling of sensitive financial and personal data.
</li><li>Strong proficiency in integrating AI tools into daily workflows to drive efficiency, quality, and innovation
</li></ul>
 
Required Skills &amp; Competencies:
<ul><li>Strong SQL &mdash; complex joins, CTEs, window functions, performance-conscious query design &mdash; applied to PostgreSQL or comparable relational databases.
</li><li>Strong Tableau &mdash; dashboard design, calculated fields, parameters, performance tuning, publishing and permissioning on a shared server.
</li><li>Working knowledge of Python (pandas, requests, or equivalent) for data extraction, transformation, and integration tasks where SQL alone is insufficient.
</li><li>Fluent, deliberate use of AI tooling (Claude or comparable) to accelerate analytical work &mdash; including prompt design for SQL generation, validation of AI output, and creation of Claude-generated artefacts for stakeholder communication.
</li><li>Strong analytical and critical thinking combined with excellent written and verbal communication in English &mdash; able to challenge stakeholder framing, identify the question behind the question, and present findings clearly to both technical and non- technical audiences.
</li></ul>
 
Nice-to-have/Preferred:
<ul><li>Domain familiarity with payments, payment gateways, processor settlements, FX, or card schemes &mdash; understanding of concepts such as authorisation, capture, chargebacks, interchange, and effective rate calculations.
</li><li>Exposure to Salesforce reporting (SOQL, Reports &amp; Dashboards) &mdash; relevant given Salesforce&rsquo;s role as a primary CRM and operational data source at finera.
</li><li>Partner directly with stakeholders across finera (commercial, operations, finance, product, risk, compliance) to scope analytical questions, define success criteria, and deliver answers in the form best suited to the audience &mdash; Tableau dashboards, Claude-generated artefacts, ad-hoc reports, or written briefs.
</li><li>Independently retrieve, join, and validate data from across finera&rsquo;s information systems &mdash; PostgreSQL databases, Salesforce, Zendesk, Jira/Confluence, Slack, Gmail, processor settlement files, and any other relevant source &mdash; without relying on engineering support for routine extraction.
</li><li>Build, maintain, and continuously improve the BI team&rsquo;s Tableau dashboards and reporting suite, including operational reports, executive dashboards, and recurring management decks.
</li><li>Use AI tooling (Claude and comparable assistants) deliberately as a force multiplier &mdash; drafting and validating SQL, accelerating exploratory analysis, generating stakeholder-ready artefacts &mdash; while retaining full ownership of correctness, business interpretation, and data quality.
</li><li>Document data sources, business definitions, and analytical methodology so that work is reproducible, auditable, and transferable across the BI team.
</li></ul>
 
Benefits-
<ul><li>Competitive salary package aligned with experience and market standards.
</li><li>Medical Insurance starting from day 1.
</li><li>Access to training resources and development opportunities that support your professional growth.
</li><li>Well-stocked office with snacks, drinks, and refreshments available daily.
</li><li>A multinational organisation that promotes a strong, collaborative culture
</li><li>Regular team-building events and company activities that strengthen collaboration across teams.
</li><li>Employee Recognition Program celebrating our &quot;Employee of the Month&quot; with special perks.</li></ul></div>

Senior Data Analyst

Explore 90+ Credit analyst in Dubai this June. Find roles across top companies and apply now to boost your career.