Junior Data Business Analyst- Emirati Future Leaders

Aldar Estates; Abu Dhabi; On-site; AED 100,000 - 167,000; Full time

Job summary

Aldar Estates is seeking an entry-level Data Analyst to transform business questions into data requirements and reliable reporting. You will work with stakeholders and analysts to improve data quality and support digital and data improvements across estate operations and customer services.

Your role will involve gathering requirements, preparing data, and maintaining dashboards under guidance, with exposure to Power BI, Tableau and basic SQL in a real estate context.

Qualifications

• 0–2 years of relevant business-analysis, reporting, operations or data-analysis experience
• Excel skills: formulas, lookups, pivot tables and data-quality checks
• Basic SQL for selecting, filtering, joining and aggregating data
• Familiarity with Power BI reports and visualisations
• Foundational Tableau knowledge for simple reports and dashboards
• Understand requirements gathering, KPI definitions, data cleaning and validation

Responsibilities

• Gather and clarify reporting requirements with stakeholders; document user stories, process flows, KPI definitions and acceptance criteria before work begins.
• Prepare approved-source data using Excel and basic SQL; navigate Databricks notebooks to query and validate data under guidance.
• Clean, reconcile and validate datasets; investigate missing or inconsistent records and escalate issues to the appropriate data owner.
• Support recurring KPI reporting and maintain simple Power BI and Tableau dashboards under guidance.
• Check calculations, refresh outputs and explain trends, assumptions and limitations in business-friendly language.
• Analyse service performance, customer experience and process efficiency; distinguish evidence from assumptions and recommend proportionate next steps.
• Document data sources, transformations, business rules, decisions and reporting changes.
• Support UAT: prepare test cases, record defects, retest fixes and capture stakeholder feedback.
• Coordinate with business users and Digital & Technology colleagues to track actions and dependencies.
• Handle information confidentially, follow approved access and sharing controls, and promptly flag data-quality, privacy or governance concerns.

Skills

Analytical thinking

Data analysis

Communication with stakeholders

Data cleaning and validation

UAT

Agile delivery

Education

Bachelor’s degree in business, information systems, data analytics, computer science, statistics or related

Tools

Power BI

Tableau

Excel

SQL

Databricks

Job description

• Turn business questions into clear data requirements, reliable reporting and actionable insights for Aldar Estates Digital & Technology.
• Work with business stakeholders, experienced analysts and technical colleagues to improve data quality, document reporting needs and support digital and data improvements across estate operations and customer services.
• Develop hands-on business-analysis and foundational data skills; no ownership of advanced machine learning, enterprise data architecture, complex BI engineering, advanced Spark or Databricks administration is required.

Key responsibilities

• Gather and clarify reporting requirements with stakeholders; document user stories, process flows, KPI definitions and acceptance criteria before work begins.
• Prepare approved-source data using Excel and basic SQL; navigate Databricks notebooks to query and validate data under guidance.
• Clean, reconcile and validate datasets; investigate missing or inconsistent records and **escalate** issues to the appropriate data owner.
• Support recurring KPI reporting and maintain simple Power BI and Tableau dashboards under guidance.
• Check calculations, refresh outputs and explain trends, assumptions and limitations in business-friendly language.
• Analyse service performance, customer experience and process efficiency; distinguish evidence from assumptions and recommend proportionate next steps.
• Document data sources, transformations, business rules, decisions and reporting changes.
• Support UAT: prepare test cases, record defects, retest fixes and capture stakeholder feedback.
• Coordinate with business users and Digital & Technology colleagues to track actions and dependencies.
• Handle information confidentially, follow approved access and sharing controls, and promptly flag data-quality, privacy or governance concerns.

Essential qualifications and skills

• Relevant degree in business, information systems, data analytics, computer science, statistics or a related discipline, or equivalent practical training and demonstrable analytical experience.
• 0–2 years of relevant business-analysis, reporting, operations or data-analysis experience, including internships, placements or substantial academic projects; explain contributions and lessons learned.
• Practical Excel skills: formulas, lookups, pivot tables and data-quality checks.
• Basic SQL skills for selecting, filtering, joining and aggregating data.
• Familiarity with Power BI reports and visualisations.
• Foundational Tableau knowledge for simple reports and dashboards.
• Understand requirements gathering, KPI definitions, data cleaning and validation.
• Clear written and verbal communication, organised documentation, attention to detail and collaboration with non-technical stakeholders.
• Exposure to Power Query, introductory DAX, simple data models or reporting automation.
• Foundational Databricks knowledge: notebooks, basic SQL querying and data validation, and lakehouse concepts.
• Familiarity with UAT, process mapping, Agile delivery or work-management tools; useful but not essential.
• Interest in real estate, property or facilities management, customer services or other service-led operations.
• Relevant coursework, a small analytics portfolio or foundational data or business-analysis certification.

Core competencies:

• Analytical curiosity, structured problem-solving, accuracy and sound judgement.
• Communicate clearly with stakeholders, own agreed tasks and learn from feedback.
• Show a service mindset and respect confidentiality.
• Ask questions and escalation uncertainty rather than present unchecked information as fact.

Indicative success measures:

• Deliver useful reporting to agreed schedules, reconciled with approved sources.
• Confirm clear, traceable requirements and KPI definitions with stakeholders; make assumptions and limitations visible.
• Identify, document and follow through on data-quality issues with the relevant owners.
• Complete UAT evidence and documentation; communicate actions promptly.
• Demonstrate growing independence while following approved access and governance controls.