What Jobs are available for Statistical Consultant in the United Arab Emirates?

Date: Jan 11, 2025

Company: Abu Dhabi Accountability Authority

Job Objective:
Manage the execution of programs and projects within Abu Dhabi Accountability Authority (ADAA) including but not limited to providing support to the execution of projects and initiatives, monitoring project execution, and reporting progress of projects and initiatives as per the approved strategic plan, to ensure effective and efficient execution of ADAA strategies and operations.

1. A. Strategy and Planning:
   • Develop and manage the implementation and update of the section related policy, procedures manual, delegation of authority, systems user manuals and standard forms, and ensure compliance across the Authority and alignment with ADAA’s overall policies and procedures.
   • Develop and manage the implementation, and update of the section’s strategic, budget and procurement, and operational plans ensuring alignment with the department and sector’s strategy and objectives, and ADAA’s mission and vision.
   • Ensure effective cascading of the department and sector’ strategy and objectives, and ADAA’s mission and vision into the section’s strategic, budget and procurement, and operational plans to achieve ADAA’s overall objectives.
   • Develop the section’s Key Performance Indicators (KPIs) in line with ADAA’s overall objectives and ensure individual KPIs are met to improve efficiency and effectiveness.
2. B. Operations:
   • Manage and lead the planning and development of projects, research and initiatives to support ADAA’s overall objectives.
   • Manage and lead the development of a project plan to support the efficient execution of programs and projects.
   • Manage and lead in communicating with relevant organizational units regarding project needs and status.
   • Manage and lead the development of an integrated methodology for project management.
   • Develop and review the guidelines and criteria to measure projects status as per the agreed timeframe.
   • Manage and lead in the identification of potential project risks and develop strategies to mitigate those risks.
   • Manage and lead internal awareness campaigns and workshops to cascade strategic and operational projects and initiatives throughout ADAA’s organizational units.
   • Manage and lead periodic review of the Corporate Performance Management Cycle by organizing meetings with ADAA’s organizational units to monitor and follow up the execution of the projects and initiatives.
   • Manage and lead the preparation of ADAA strategic and operational performance reports related to projects and initiatives in accordance with the approved plan for review and submission.
   • Manage and lead the analysis of projects performance, identifying gaps and recommending corrective actions in cooperation with ADAA’s organizational units; as well as in monitoring and following up of the implementation of corrective actions in order to reflect progress on the strategic and operational performance reports.
   • Support ADAA’s organizational units’ strategic and operational initiatives and assist in monitoring progress to ensure completion of projects as per the agreed timeframe.
   • Manage and lead research studies related to ADAA mandate that will support the execution of the strategy.
   • Manage and lead benchmarking activities with other entities with similar mandates for better assessment of ADAA’s operational performance.
3. C. Talent Management and Development:
   • Manage the effective achievement of assigned section operational goals through effective leadership by setting individual objectives, managing performance within the section, and developing and motivating the team to maximize performance.
   • Monitor a section’s training plan to ensure that the team attends all trainings and development activities required for the role for continuous performance improvements.
   • Conduct performance evaluation of subordinates against KPIs by monitoring individual performance, reviewing progress reports, recommending corrective actions and providing overall assessment to support the achievement of ADAA’s overall objectives.
   • Manage team workload within the section through the appropriate delegation of work.
   • Motivate subordinates, especially focusing on developing capabilities of UAE National employees, to develop a motivated and high-performance team.
4. D. Corporate:
   • Ensure employee adherence and compliance with all ADAA corporate policies, procedures and guidelines (HR, IT, Procurement, Finance, Health and Safety etc.) within the assigned section.
   • Manage and review section’s related correspondence such as e-mails, memos, and letters to ensure professionalism, completeness and accuracy of information.
   • Manage the retention, documentation, preservation, and archive of section’s related physical and electronic records in accordance with relevant policies and procedures.
   • Manage any section related queries and ensure that required response and support are provided to relevant ADAA’s organizational units and employees as and when required.
   • Ensure relevant technologies used within ADAA are utilized by employees in order to optimize work efficiency.
   • Ensure compliance with ADAA’s values, Code of Business Conduct and ethics at all times to support the establishment of a value driven culture within the Authority.
   • Ensure the implementation of the relevant health and safety legislation, policies and procedures, in the performance of duties within the assigned section.
   • Lead the identification of opportunities for continuous improvement and sustainability of systems, processes and practices considering global standards, productivity improvement and cost reduction.
   • Ensure that all reports are prepared accurately, submitted timely and meet ADAA requirements and quality standards.
5. E. General:
   • The level of performance should reflect the academic qualification, type of courses in the field of specialization, employee job level, and the level of productivity.
   • The academic and professional certificates required and approved by ADAA should be acquired within the period specified and based on the employee’s Individual Development Plan.
   • Perform the task and responsibilities independently unless an approval or directive was obtained to delegate the task to other employees in case of incapability to perform the tasks and responsibilities.
   • Ensure teamwork, collaboration, and dedication in performing duties.
   • Showcase a strong leadership to the team members.
   • Knowledge and awareness about the capabilities of the subordinates and showcase a strong knowledge in the field of specialization.
   • Provide the required support and guidance to the subordinates.
   • Take responsibility of the decisions made.

1. Bachelor’s degree in relevant field.
2. 10 – 12+ years of relevant experience in managing projects (strategic and operational) with preferably 6 years in supervisory role.
3. Proficiency in Arabic and English.
4. Master’s degree in relevant field is preferred.
5. Leadership ILM level 5 is preferred.
6. RMP certificate (Risk Management Professional) is preferred.

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

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.

• 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.

• 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.

• 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.