Qureos

FIND_THE_RIGHTJOB.

Data Analysts with Data Modeling (On-Prem & Cloud)

JOB_REQUIREMENTS

Hires in

Not specified

Employment Type

Not specified

Company Location

Not specified

Salary

Not specified

We are seeking skilled Data Analysts with strong Data Modeling experience to support our data-driven AI initiatives.

The candidate will analyze, model and optimize data across on-premise and cloud databases, collaborate with business stakeholders, and enable actionable insights through well-structured data solutions.

Request you to share shortlisted CVs matching the below requirements.

Job Title: Data Analyst

Work Location: Abu Dhabi

Experience Required: 5+ years

Key Responsibilities:

  • Analyze and interpret large datasets to generate actionable insights for business stakeholders.
  • Design, develop and maintain conceptual and physical data model for both on-premise and cloud database environments.
  • Collaborate with Data Engineers, Architects and Business analysts to ensure proper implementation of data models in data warehouses, lakes, or marts.
  • Map business requirements to data sources and identify data gaps or redundancies.
  • Perform data profiling, validation and quality assessments.
  • Support ETL/ELT processes and integration of multiple data sources
  • Document data definitions, lineage and metadata to ensure consistencies and governance.

Required Skills and Qualifications:

  • 5+ years of experience in data analysis and data modeling.
  • Strong proficiency in SQL for querying, profiling and validation.
  • Hands-on experience with data modeling tools and exposure to on-premise databases and Cloud databases.
  • Familiarity with ETL/ELT processes, data pipelines and cloud data platforms.
  • Strong analytical, problem solving and communication skills.

Nice-to-have:

  • Knowledge of data governance, cataloging or lineage tools.
  • Experience in cloud data migration or hybrid data environments.
  • Understanding of business domain data models.

© 2025 Qureos. All rights reserved.