What Jobs are available for Revenue Analysts in the United Arab Emirates?

Showing 4 Revenue Analysts jobs in the United Arab Emirates

Course: Effective Business Decisions Using Data Analysis

Dubai, Dubai Europeanqualitytc

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Job Description

Effective Business Decisions Using Data Analysis

ID 257

Course: Effective Business Decisions Using Data Analysis

This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.

This course will feature:
  • Discussions on applications of data analytics in management
  • The importance of data in data analytics
  • Applying data analytical methods through worked examples
  • Focusing on management interpretation of statistical evidence
  • How to integrate statistical thinking into the work domain
What are the Goals? By the end of this course, participants will be able to:
  • Explain the scope and structure of data analytics.
  • Apply a cross-section of useful data analytics.
  • Interpret meaningfully and critically assess statistical evidence.
  • Identify relevant applications of data analytics in practice.
Who is this Course for? This course is suitable to a wide range of professionals but will greatly benefit:
  • Professionals in management support roles
  • Analysts who typically encounter data/analytical information regularly in their work environment
  • Those who seek to derive greater decision-making value from data analytics
How will this be Presented?

This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context.

The Course Content
  • Day One: Setting the Statistical Scene in Management
    • Introduction; The quantitative landscape in management
    • Thinking statistically about applications in management (identifying KPIs)
    • The integrative elements of data analytics
    • Data: The raw material of data analytics (types, quality, and data preparation)
    • Exploratory data analysis using Excel (pivot tables)
    • Using summary tables and visual displays to profile sample data
  • Day Two: Evidence-based Observational Decision Making
    • Numeric descriptors to profile numeric sample data
    • Central and non-central location measures
    • Quantifying dispersion in sample data
    • Examine the distribution of numeric measures (skewness and bimodal)
    • Exploring relationships between numeric descriptors
    • Breakdown analysis of numeric measures
  • Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
    • The foundations of statistical inference
    • Quantifying uncertainty in data – the normal probability distribution
    • The importance of sampling in inferential analysis
    • Sampling methods (random-based sampling techniques)
    • Understanding the sampling distribution concept
    • Confidence interval estimation
  • Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
    • The rationale of hypotheses testing
    • The hypothesis testing process and types of errors
    • Single population tests (tests for a single mean)
    • Two independent population tests of means
    • Matched pairs test scenarios
    • Comparing means across multiple populations
  • Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
    • Exploiting statistical relationships to build prediction-based models
    • Model building using regression analysis
    • Model building process – the rationale and evaluation of regression models
    • Data mining overview – its evolution
    • Descriptive data mining – applications in management
    • Predictive (goal-directed) data mining – management applications
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Business Analysis and Data Analyst

Dubai, Dubai micro1

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Job Description

Overview

Job Title: Business Data Analyst (Banking) - Digital Transformation

Job Type: Full-Time Contract (1 year, renewable)

Location: On-site, Dubai, Dubai, United Arab Emirates

Job Summary:

Join our team as a Business Data Analyst at the forefront of digital transformation within a leading UAE bank. In this pivotal role, you will bridge business stakeholders and technology teams, applying deep analytical expertise to drive insights, optimize processes, and elevate customer journeys across key digital banking initiatives. Embrace an asynchronous work culture that values exceptional written communication and proactive problem-solving.

Key Responsibilities
  • Elicit, analyze, and document business requirements, user stories, and process flows for digital projects.
  • Act as a key liaison between business units and technical teams to ensure clear understanding of project objectives.
  • Conduct gap analysis and impact assessments for new features and system changes within core banking functions.
  • Participate in Agile/Scrum ceremonies, including sprint planning, backlog grooming, and daily stand-ups.
  • Design and execute test scenarios, supporting user acceptance testing (UAT) and solution validation.
  • Write complex SQL queries to extract and analyze large datasets, generating actionable insights and KPI reports with Power BI.
  • Translate analytical findings into clear, data-driven recommendations and presentations for diverse stakeholders.
Required Skills and Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Finance, Business, or a quantitative discipline.
  • 5-9 years’ experience as a Business Analyst, with a strong background in Banking, Financial Services, or FinTech.
  • High proficiency in SQL and PL/SQL, with hands-on experience in Power BI for data visualization.
  • Proven experience working with core-banking systems and exposure to digital transformation projects.
  • Solid understanding of Agile methodologies (Scrum, Kanban) and expertise with JIRA.
  • Exceptional written communication skills, adept at working in asynchronous, collaborative environments.
  • Strong analytical and critical thinking abilities with excellent stakeholder management.
Preferred Qualifications
  • Relevant professional certifications (CBAP, PMI-PBA, Agile Scrum, Data Analytics).
  • Experience with data modeling, Python or R for advanced analytics, and systems like Flexcube or OFSAA.
  • Expertise in digital banking products, customer journey mapping, and process optimization.

Become part of our team and contribute to high-impact initiatives, working on projects that set industry standards and drive meaningful change. We foster an inclusive, high-performing culture offering career development opportunities, comprehensive benefits, and a collaborative environment to help you thrive.

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Financial Planning & Analysis (FP&A) Manager

Antal International Network

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Job Description

Role Overview

We are seeking a highly analytical and strategic FP&A Manager to support financial planning, budgeting, forecasting, and decision-making for a real estate development company. The role requires strong financial modeling skills, a deep understanding of real estate finance, and the ability to provide actionable insights to senior management.

Key Responsibilities
  • Lead the budgeting, forecasting, and financial planning processes for real estate projects and overall company operations.
  • Prepare financial models, scenario analysis, and profitability forecasts for new and ongoing development projects.
  • Analyze financial performance, track KPIs, and provide variance analysis to support strategic decisions.
  • Collaborate with project managers, accounting, and operations teams to ensure accurate financial reporting.
  • Develop dashboards and reports to provide actionable insights to senior management and stakeholders.
  • Support investment analysis, feasibility studies, and capital allocation decisions for new development projects.
  • Ensure compliance with accounting standards, corporate policies, and internal controls.
  • Assist in presentations to investors, lenders, and executive leadership.
Qualifications & Experience
  • Bachelor’s degree in Finance, Accounting, Economics, or related field (Master’s or MBA preferred).
  • 5–8 years of experience in FP&A, preferably in real estate development, construction, or property investment.
  • Strong financial modeling, budgeting, and forecasting skills.
  • Proficiency in Excel, ERP systems, and financial reporting tools (e.g., SAP, Oracle, Yardi).
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work under tight deadlines and manage multiple projects simultaneously.
Key Skills
  • Financial Planning & Analysis (FP&A)
  • Real Estate Project Finance
  • Budgeting & Forecasting
  • Financial Modeling & Valuation
  • KPI Tracking & Reporting
  • Investment & Feasibility Analysis
  • ERP & Reporting Tools
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Revenue Cycle Management Analyst

Dubai, Dubai American Hospital Dubai

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Job Description

Supports, maintains, and optimises the hospital’s revenue cycle systems and workflows across all stages of the patient financial journey, including registration, charge capture, billing, coding, claims submission, collections, and reporting. Applies hands-on expertise in Oracle Health Millennium (Cerner), Oracle Fusion ERP/Finance, MyCare, IQVIA, HEI, and related applications. Serves as a bridge between clinical, financial, and IT stakeholders, ensuring regulatory compliance, accurate reimbursements, and optimised financial performance to support world-class patient care.

Responsibilities

System Administration & Optimization

  • Support and configure RCM workflows across Oracle Millennium (Cerner) and Oracle Fusion ERP modules (Finance, Billing, GL, AP, AR).
  • Ensure seamless integration of revenue-related data across MyCare, IQVIA, and HEI systems.
  • Partner with Finance and Clinical teams to maintain accurate charge capture, coding, and reimbursement processes.
  • Monitor system performance, troubleshoot issues, and ensure high availability of RCM applications.

Revenue Cycle Process Management

  • Support end-to-end revenue cycle processes including scheduling, registration, insurance verification, billing, and collections.
  • Ensure claims submission workflows are optimized and compliant with DHA and payer standards.
  • Analyze denial trends and root causes, recommend corrective actions, and support AR reconciliation with Oracle Fusion Finance.

Reporting & Analytics

  • Develop dashboards and reports in collaboration with Finance and Data Analytics teams using Oracle BI, IQVIA, HEI, and MyCare.
  • Provide insights on KPIs such as Days in AR, DNFB, denial percentages, and collection rates.
  • Translate financial and operational requirements into technical reporting solutions.

Governance & Compliance

  • Ensure compliance with DHA/MOHAP billing regulations, ICD-10, CPT, DRG, HIPAA, and JCI standards.
  • Maintain audit readiness with documentation of RCM system changes, workflows, and controls.
  • Collaborate with cybersecurity and governance teams to enforce secure access and data confidentiality.
  • Investigate incidents, correlate logs, and prepare structured RCA documentation.
  • Perform diagnostics across integrated RCM platforms and escalate complex issues to vendors or cross-functional teams.

Stakeholder Engagement & Collaboration

  • Serve as an internal consultant, educating teams on RCM system capabilities and best practices.
  • Work with external vendors (Oracle, IQVIA, MyCare, HEI) on upgrades, integrations, and roadmaps.
  • Provide structured updates to leadership, project managers, and end users.
  • Contribute to a culture of collaboration, accountability, and transparency across IT, Finance, and Clinical teams.
Qualifications

QUALIFICATIONS & SKILLS:

  • Bachelor’s Degree in Healthcare Administration, Finance, Information Systems, or related field.
  • Certification in Revenue Cycle Management, Oracle ERP, or Healthcare IT preferred.
  • Professional coding certification (CPC, CCS, or equivalent) preferred.
  • Project Management certification (PMP, PRINCE2, Agile) preferred.

PROFESSIONAL EXPERIENCE:

  • Minimum of three (3) Revenue Cycle Management within healthcare, preferably in multi-site or regulated hospital systems.
  • Knowledge of revenue cycle processes including registration, billing, coding, claims submission, collections, and reimbursement.
  • Knowledge of Oracle Health Millennium (Cerner), Oracle Fusion ERP/Finance, MyCare, IQVIA, and HEI systems.
  • Knowledge of DHA/MOHAP billing regulations, ICD-10, CPT, DRG, HIPAA, and JCI compliance.
  • Knowledge of HL7/FHIR interfaces and interoperability standards (preferred).
  • Knowledge of robotic process automation (RPA) and AI/ML applications in revenue cycle optimization (preferred).
  • Skills in configuring, troubleshooting, and optimizing RCM workflows in multi-hospital or enterprise healthcare environments.
  • Skills in financial and operational reporting using Oracle BI, IQVIA, and HEI.
  • Skills in analyzing denial trends, AR metrics, and revenue leakage with data-driven solutions.
  • Skills in vendor management and contract oversight (preferred).
  • Ability to ensure compliance and audit readiness across billing, coding, and reimbursement workflows.
  • Ability to collaborate effectively with clinical, operational, and financial stakeholders.
  • Ability to work under pressure in mission-critical hospital environments.
  • Ability to lead small-scale projects or ERP/RCM enhancement initiatives (preferred).
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