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business analysis analyst

Al-Futtaim

<div><b>Overview Of The Role:</b><br>
<ul><li>
The Senior Financial Analyst is tasked with preparing financial feasibility studies and business case evaluations crucial for company performance review. This role involves analyzing key performance indicators, such as the balance sheet and working capital financials, to provide comprehensive insights. The analyst supports finance, treasury, and tax operations and is responsible for delivering MIS reports that guide business decisions. Precision and accuracy in reporting are essential to ensure strategic decision-making and stability in existing operations.</li></ul><br>
<b>
What You Will Do:</b><br>
<h4 class="jobSectionHeader"><b>
Financial Analysis</b></h4><br>
<ul><li>
Develop extensive feasibility models and prepare financial feasibility analysis to present an accurate, complete picture of the operational business or business case, reflecting expenditure, place, marketability, recovery period, and profitability for review and decision by senior management.</li><li>
Deliver robust P&amp;L and B/S reporting and analysis, providing timely insight into operational performance and advice on variances, trends, and corrective actions.</li></ul><h4 class="jobSectionHeader"><b><br>
Management Reporting</b></h4><br>
<ul><li>
Develop suitable business Management Information Systems (MIS) to encapsulate all key performance indicators: financial, commercial, and operational.</li><li>
Provide effective and timely management reports, including financial and operational reports and dashboards to assist business operations, enabling them to manage operations efficiently.</li></ul><h4 class="jobSectionHeader"><b><br>
Data Collection and Analysis</b></h4><br>
<ul><li>
Collect data from both internal and external resources on various types of costs, income, and expenses.</li><li>
Conduct income and expense projections and variance analysis to support financial planning and decision-making.</li></ul><h4 class="jobSectionHeader"><b><br>
Key Area Support</b></h4><br>
<ul><li>
Support senior management in aspects of finance, treasury, and tax as required.</li><li>
Provide timely advice on financial trends and corrective actions to be taken.</li></ul><br>
<b>
Required Skills To Be Successful:</b><br>
<ul><li>
Advanced financial analysis and modeling skills.</li><li>
Proficiency in Management Information Systems (MIS).</li><li>
Strong analytical skills and commercial awareness.</li><li>
Excellent numeracy and problem-solving skills.</li></ul><br>
<b>
What Qualifies You For The Role:</b><br>
<ul><li>
Postgraduate degree in Finance with extensive knowledge of Financial Management, Information Systems, Financial Analysis, Treasury, and Tax.</li><li>
ACA Chartered Accountant or equivalent certification.</li><li>
Previous experience in a similar position within a world-class organization is an advantage.</li><li>
Strong interpersonal and team-building skills with well-developed oral and written communication abilities.</li></ul></div><p></p>

UAE National- Senior Financial Analyst

ORO24 DEVELOPMENTS LLC

<p><b>Job Summary</b></p><p>The Software Product Analyst acts as the bridge between business stakeholders and the technology team. This role is responsible for analyzing business needs, evaluating software solutions, defining product requirements, and supporting the delivery of technology products that meet organizational objectives.</p><p><b>Key Responsibilities</b></p><ul><li>Gather, analyze, and document business and functional requirements from stakeholders.</li><li>Translate business needs into clear product specifications, user stories, and acceptance criteria.</li><li>Conduct gap analysis between existing systems and desired product capabilities.</li><li>Work closely with development, QA, and design teams throughout the product lifecycle.</li><li>Evaluate and assess third-party software solutions and vendor proposals.</li><li>Manage and maintain the product backlog in collaboration with the Product Manager.</li><li>Facilitate workshops, meetings, and reviews with business units and technical teams.</li><li>Create and maintain product documentation including process flows, wireframes, and user manuals.</li><li>Track and report on product performance metrics and KPIs post-deployment.</li><li>Support UAT (User Acceptance Testing) and coordinate feedback cycles.</li></ul><p><b>Qualifications &amp; Experience</b></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Business Analysis, or a related field.</li><li>3&ndash;5 years of experience in a software product analyst, business analyst, or similar role.</li><li>Strong understanding of software development lifecycles (SDLC) and Agile/Scrum methodologies.</li><li>Proficiency in requirements management and project tracking tools (e.g., JIRA, Confluence, Azure DevOps).</li><li>Familiarity with UI/UX concepts and ability to create wireframes or process flows.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Analytical mindset with strong problem-solving abilities.</li></ul><p><b>Preferred Skills</b></p><ul><li>Experience with ERP, CRM, or enterprise software platforms.</li><li>Knowledge of API integrations and data flow concepts.</li><li>Familiarity with tools such as Figma, Lucidchart, or Visio.</li><li>Product management certifications (CSPO, CBAP, or equivalent) are an advantage.</li></ul><p>Work Location: In person</p>

Software Product Analyst

Hermès

<div>
 <strong>
  Job Title: D
 </strong>
 <strong>
  ata analyst
  <br/>
  <br/>
 </strong>
 <strong>
  REPORTS TO: SENIOR RETAIL EXCELLENCE MANAGER
  <br/>
  <br/>
 </strong>
 <strong>
  Location: DUBAI
  <br/>
  <br/>
 </strong>
 <strong>
  Organisation unit: Hermes middle east
  <br/>
  <br/>
 </strong>
 <strong>
  GENERAL MISSION
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Dashboards creation &amp; maintaining
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  CUSTOMER DATA QUALITY
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Customer Knowledge
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Retail excellence &amp; Business performance
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience &amp; Requirements
  <br/>
  <br/>
 </strong>
 <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

Allure Designs Technical Services LLC

<p><b>Job Title: Finance Manager </b></p><p><b>Location:</b> UAE / GCC Region</p><p><b>Job Summary</b></p><p>We are seeking an experienced Finance Manager / Finance Analyst with extensive expertise in financial management, budgeting, forecasting, financial reporting, compliance, and business analysis. The ideal candidate will support strategic decision-making through accurate financial insights while ensuring strong financial controls and operational efficiency.</p><p><b>Key Responsibilities</b></p><ul><li>Manage end-to-end finance and accounting operations.</li><li>Prepare and analyze monthly, quarterly, and annual financial reports.</li><li>Develop and monitor budgets, forecasts, and long-term financial plans.</li><li>Conduct financial analysis and provide recommendations to support business growth.</li><li>Ensure compliance with accounting standards, taxation, VAT regulations, and company policies.</li><li>Oversee accounts receivable, accounts payable, general ledger, and cash management functions.</li><li>Strengthen internal controls and implement process improvements to enhance operational efficiency.</li><li>Coordinate internal and external audits and ensure timely audit completion.</li><li>Monitor cash flow and working capital requirements.</li><li>Perform variance analysis and identify opportunities for cost optimization.</li><li>Support ERP implementation, upgrades, and financial system enhancements.</li><li>Collaborate with senior management to provide strategic financial guidance.</li><li>Lead, mentor, and develop finance team members.</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor's Degree in Commerce, Finance, Accounting, or related field.</li><li>Chartered Accountant Articleship training or equivalent professional qualification preferred.</li><li>Minimum 15+ years of progressive experience in finance and accounting management.</li><li>Experience in FMCG, manufacturing, or multinational organizations preferred.</li><li>Strong knowledge of financial reporting, budgeting, forecasting, taxation, and audit compliance.</li><li>Experience with ERP systems such as PeopleSoft, JD Edwards, SAP, Oracle, or similar.</li><li>Advanced proficiency in Microsoft Excel and financial analysis tools.</li></ul><p><b>Key Skills</b></p><ul><li>Budgeting &amp; Forecasting</li><li>Financial Reporting</li><li>Financial Analysis</li><li>Strategic Planning</li><li>Cost Control</li><li>Internal Controls &amp; Compliance</li><li>Cash Flow Management</li><li>Audit Management</li><li>VAT &amp; Taxation</li><li>Risk Management</li><li>ERP Systems</li><li>Team Leadership</li><li>Process Improvement</li><li>Stakeholder Management</li><li>Business Partnering</li></ul><p><b>Preferred Experience</b></p><ul><li>Multi-country financial management experience within the GCC region.</li><li>Experience supporting executive leadership with financial decision-making.</li><li>Strong background in audit, compliance, and governance frameworks.</li></ul><p>Work Location: In person</p>

Finance Manager

Impronics Technologies

<div><div><b>Job Summary</b></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><b><br>
Key Responsibilities</b></div><div><b>
Business Analysis &amp; Requirement Gathering</b></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><b>
AI &amp; Data-Driven Solutioning</b></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><b>
Banking Domain Expertise</b></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><b>
Stakeholder Management</b></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><b>
Required Skills &amp; Experience</b></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><b>
Preferred Qualifications</b></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><b>
Soft Skills</b></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

<div>
 <p>
  <strong>
   MIS Analyst | Contact Center
  </strong>
 </p>
 <p>
  As an
  <strong>
   MIS Analyst
  </strong>
  , you are responsible for managing, analyzing, and delivering accurate data insights that support operational decision-making and performance optimization within the contact center.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Generate, maintain, and distribute daily, weekly, and monthly MIS reports for contact center operations
  </li>
  <li>
   Analyze performance metrics such as AHT, SLA, FCR, occupancy, shrinkage, and agent productivity
  </li>
  <li>
   Develop and automate reports using Excel (advanced functions, PivotTables, dashboards) and other reporting tools
  </li>
  <li>
   Monitor real-time and historical data to identify trends, gaps, and opportunities for improvement
  </li>
  <li>
   Ensure data accuracy, integrity, and consistency across all reporting systems
  </li>
  <li>
   Support stakeholders (Operations, QA, WFM, and Management) with actionable insights and customized reports
  </li>
  <li>
   Create and maintain dashboards to visualize KPIs and operational performance
  </li>
  <li>
   Conduct root cause analysis on performance deviations and recommend corrective actions
  </li>
  <li>
   Work closely with cross-functional teams to enhance data reporting processes and efficiency
  </li>
  <li>
   Handle ad-hoc reporting requests and provide timely data-driven insights
  </li>
  <li>
   Maintain databases and ensure proper documentation of reporting processess
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   .
  </strong>
 </p>
 <p>
  <strong>
   Qualification
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Business Administration, Computer Science, Statistics, or related field
  </li>
  <li>
   Experience in a contact center environment
  </li>
  <li>
   Advanced proficiency i
   <strong>
    n Microsoft Exc
   </strong>
   el (VLOOKUP, Pivot Tables, Macros is a plus)
  </li>
  <li>
   Familiarity with reporting tools such as Power BI, Tableau, or similar platforms.
  </li>
  <li>
   Strong analytical, problem-solving, and data interpretation skills.
  </li>
  <li>
   High attention to detail and ability to manage large datasets accurately.
  </li>
  <li>
   Good communication skills to present insights to stakeholders.
  </li>
 </ul>
 <p>
 </p>
</div>


Management Information System Executive

PaymentGenes

<div>DubaiPermanentAnalysisPosted 29/05/2026</div>
<br><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.<br>
<br>
<b>Required Experience:</b>
<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>
<br>
<b>Required Skills &amp; Competencies:</b>
<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>
<br>
<b>Nice-to-have/Preferred:</b>
<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>
<br>
<b>Benefits-</b>
<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

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