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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.

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Posting Date: 2 Oct 2025

Location: Abu Dhabi, Abu Dhabi, AE

Contract Type: Fixed-Term

Division: Energy Business Integration and Project Coordination

Level of experience: Intermediate

RINA is currently recruiting for a Asia Project Support Advisor to join its office in Abu Dhabi within the Energy Business Integration and Project Coordination Division.

• CLIENT INTIMACY - Embrace internal and external client needs, expectations, and requirements to ensure maximum satisfaction
• EARN TRUST - Take everyone's opinion into account and remain open to diversity
• PROMOTE SUSTAINABLE DEVELOPMENT - Promote commitment by keeping promises as a Role Model
• MANAGE EMOTIONS - Recognise one's and other's emotions and express and regulate one's reactions
• PIONEER CHANGE - Actively embrace change and benefit from the new circumstances
• BUILD NETWORK - Forge trust relationships, across departments, and outside the organization
• MAKE EFFECTIVE DECISIONS - Structure activities according to priorities, actions, resources and constraint
• ADDRESS THE WAY - Have a big picture of different situations and reinterpret it in a perspective way
• THINK FORWARD - Capitalise on experiences and translate them into action plans for the future

RINA is a multinational company providing a wide range of services in the energy, marine, certification, infrastructure & mobility, industry, research & development sectors. Our business model covers the full process of project development, from concept to completion.

At RINA, we endeavor to create a work environment where every single person is valued and encouraged to develop new ideas. We provide equal employment opportunities and are committed to creating a workplace where everyone feels respected and safe from discrimination or harassment of any kind. We are also compliant with Italian Law n. 68/99.

JOB SUMMARY:

Provides all support activities to PreSales; handles all preparatory and scheduling activities for projects execution. Responsible for all sourcing and procurement activities for the different projects. Provides reporting on projects progress.

KEY RESULTS AREAS (RESPONSIBILITIES):

• Support sales through preparing sales quotes and bids; receives PO from clients to log and commence project tracking
• Operational planning for deploying all required manpower for the execution of jobs. Provides instruction on project scope, timelines, locations and all relevant details.
• Arrange site visits before commencement of the job.
• Prepare the BOQ for issuance to project team for installation at site; Also prepares BoQ's for variation orders and maintenance contracts
• Monitors progress of the project in collaboration with the Engineer in Charge; this normally covers progress of work, manpower usage and cost, material usage and cost
• Actual sourcing and procurement activities for the project covering technical and non-technical material for the project.
• Handles logistics - Coordination with the freight forwarder and supplier in receiving and dispatching of materials. Prepares all the documentation for import/export.
• Coordinates with necessary work permits associated to the project.
• Prepares final documentation for final hand over and completion certificates

EDUCATION

• Bachelor or Diploma of Engineering in Electrical or Electronics or Computers or IT or equivalent.
• Project Management skills are preferred; certification will be an asset.

WORK EXPERIENCE

• Minimum 2 years experience in project management or coordination in security services or similar industry
• Must have prior UAE experience.