Data Analysis Specialist; Outsource

The Data Analysis Specialist is responsible for designing and managing data structures, developing data infrastructure, and analyzing data behavior to support business intelligence and strategic decision-making. The role focuses on optimizing data architecture, ensuring data quality, and transforming complex datasets into actionable insights that improve operational efficiency and business performance.

• Design, develop, and maintain data models, database structures, and data architecture aligned with business requirements.
• Build and optimize data infrastructure including data warehouses, ETL/ELT pipelines, and data integration processes.
• Analyze data behavior, trends, and patterns to identify insights, risks, and opportunities for business improvement.
• Develop dashboards, reports, and KPI tracking systems using data visualization and analytics tools.
• Ensure data accuracy, integrity, governance, and consistency across all systems and platforms.
• Monitor and enhance database performance, scalability, and reliability.
  
  Collaborate with business stakeholders and technical teams to understand reporting and analytical requirements.
• Identify anomalies, inconsistencies, and gaps within datasets and recommend corrective actions.
• Support strategic planning and operational decisions through advanced analytics and reporting.
• Document data processes, workflows, technical structures, and governance standards.
• Implement best practices related to data management, business intelligence, and analytics frameworks.
• Support digital transformation initiatives by improving data accessibility and reporting efficiency.

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, or related field.
• Professional certifications in Data Analytics, Data Engineering, Business Intelligence, or Cloud Data Platforms are preferred.

• 3–6 years of experience in data analysis, data modeling, or data infrastructure roles.
• Hands‑on experience with data warehousing, database management, and business intelligence solutions.
• Experience in handling large datasets and analytical reporting.
• Real estate industry experience is considered an advantage.