4 IT Consulting Firms jobs in the United Arab Emirates

The Senior Business Analyst leads a team to undertake the review and analysis of the organisation’s business intentions, services, processes and information needs to identify changes that lead to business improvements.

Department: Project Management

Compensation: AED 21,667 P/M

• Enhance business systems by providing accurate information about business needs and priorities.
• Analyse and consolidate information to develop business cases to support achievement of business objectives.
• Extract data reports and review information to identify trends, system pain points and opportunities for business improvement across the business.
• Provide plain language advice on technical issues to non-technical audiences.
• Work with key stakeholders to identify how changing business requirements may be delivered with existing solutions.
• Coordinate process improvement test cases, liaising with DSG and client business units, evaluating and reporting on potential process improvement initiatives and instituting systems changes.
• Develop and use information material such as process descriptions, checklists, templates and guides to assist staff with implementing defined processes.
• Guide and support team members to provide customer-focused services.

• A bachelor’s or master’s degree in computer science or a related field is a good starting point for this position.
• Escalate issues, keep informed, advise and receive feedback.
• Inspire and motivate team, provide direction and manage performance.
• Mentor, lead and support the team and share information and research.
• Ensure consistent and coordinated customer services through teamwork and collaboration.
• Resolve issues and provide solutions to problems.
• Provide information regarding agency sector-wide rules and standards.
• Represent the organisation in an honest, ethical and professional way and encourage others to do so.
• Demonstrate professionalism to support a culture of integrity within the team/unit.
• Ensure that others understand the legislation and policy framework within which they operate and act to prevent and report misconduct, illegal and inappropriate behaviour.

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Location: Dubai

Other locations: Primary Location Only

Date: Sep 11, 2025

Requisition ID:

Oracle – Enterprise Performance Management – Manager - UAE

Whole industries have been disrupted and transformed in recent years by digital technology. As a technology consulting professional, you’ll help businesses realize the value they can gain from their IT investments — supporting strategy and being a key growth driver. As part of a high-performing team, you’ll deliver exceptional client service — providing advice on how technology enablement, digital transformation and enterprise intelligence contribute to performance improvement, as well as how technology can act as multiplying effect during major program transformations.

As organizations look to leverage the advantage technology offers, we’ll work with you to develop the consultancy and analytical skills that you’ll need in today’s environment. Working on projects that cross borders and sectors, the experiences you gain here will be more valuable than anywhere else. So, whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

The Opportunity

Within our Consulting Services ourTechnology Solution Deliveryteam works collaboratively with our clients to manage engagements and lead teams of data analysis resources in all aspects of design and delivery of information solutions. The needs of our clients are driven by global trends of financial consolidation, planning and reporting requirements.

In order to reinforce our Technology Solution Delivery team, we are currently looking for aresource with knowledge of Digital Finance/Corporate Performance Management and Business Intelligence/Data analyticsto support client engagement teams and to work with a wide variety of clients to deliver professional services.

Your key responsibilities

• Participate in and manage important client engagement teams regarding the implementation of Digital Finance projects around various reporting requirements
• Manage projects independently from blueprint to go-live by applying project management techniques as well as technical and business knowledge to ensure that high-quality results are obtained for all our clients
• Provide product trainings to clients
• Actively share product and functional knowledge within the team
• Perform presales activities and product demonstrations
• Demonstrate in-depth technical capabilities

To qualify for the role, you must have

• Experience of having implemented atleast 2 engagements covering FCCS and EPBCS
• Conceptual understanding of other EPM modules like Workforce Planning, ARCS, EDMCS etc. will be a value add
• Experience on designing of end to end design for EPM applications esp. FCCS and EPBCS
• You have good people management skills
• Experience with proposal creation/business development is a plus
• Knowledge of any other CPM / Business Intelligence solution is an asset
• You have a Master background in finance/economics and/or IT

Solution Design and Implementation:

• Work closely with clients to understand their business needs and translate them into effective EPBCS solutions.
• Experience in designing and implementation of EPBCS solutions for financial consolidation, planning, and reporting.
• Lead the technical aspects of EPBCS projects, including system architecture, data modelling, and workflow design.
• Provide technical guidance and support to project teams and clients.
• Integrate EPBCS with multiple source systems to ensure seamless data flow.
• Customize and deploy EPBCS solutions based on client-specific business requirements.
• Knowledge of writing groovy scripting and business rules.
• Knowledge of out of the box EPBCS modules.

Qualifications:

Experience:

• 6-9 + years of relevant experience in financial performance management and consolidation.
• 3-5+ years of hands-on experience with EPBCS products.
• Experience with AIH (Analytical Information Hub) and predictive analytics is a plus.
• Accounting Educational background is advantageous.

Technical Skills:

• Strong understanding of EPBCS functionality and setup.
• Proficiency in ETL processes, data mapping, and calculations.
• Experience in designing workflows and metadata in EPBCS.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Ability to lead and mentor junior team members.

Certifications:

– Relevant certifications in EPBCS or EPM product suite will be advantageous (FCCS):

Solution Design and Implementation:

• Work closely with clients to understand their business needs and translate them into effective FCCS solutions.
• Experience in designing and implementation of FCCS solutions for financial consolidation, planning, and reporting.
• Lead the technical aspects of FCCS projects, including system architecture, data modelling, and workflow design.
• Provide technical guidance and support to project teams and clients.
• Integrate FCCS with multiple source systems to ensure seamless data flow.
• Customize and deploy FCCS solutions based on client-specific business requirements.
• Participate in pre-sales activities, including proposal development and client presentations.

Qualifications:

Experience:

• 6-9+ years of relevant experience in financial performance management and consolidation.
• 3-5+ years of hands-on experience with FCCS products.
• Experience with AIH (Analytical Information Hub) and predictive analytics is a plus.
• Charted Account qualification is mandatory qualification for FCCS.

Technical Skills:

• Strong understanding of FCCS functionality and setup.
• Proficiency in ETL processes, data mapping, and calculations.
• Experience in designing workflows and metadata in FCCS.
• Understanding of pre-seeded system calculations for consolidation, translation and cashflow.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Ability to lead and mentor junior team members.

Certifications:

Relevant certifications in FCCS will be advantageous

What working at EY offers

• You join a dynamic, young team, exclusively focused on innovation, new products & services, and customer experience.
• We offer you an attractive remuneration package (competitive salary, net allowances and extensive fringe benefits: company car with fuel card, smart phone, health insurance, pension plan, etc.).;
• We offer extensive trainings, both on technical matters, as well on soft skills and project management.
• We are proud of our flexible working arrangements, and we will support you to build a successful career and deliver excellent client service without sacrificing your personal priorities. While our client-facing profession might require regular travel, and at times working at client sites, we are committed to help you achieve a work-life balance.
• At EY we are passionate about the inclusion and support of individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.

About EY

As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Join us in building a better working world.

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.

• 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

• 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.

• 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

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.

• 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