Data Analysis Specialist (Outsource)

Role Overview

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.

Key Responsibilities

• 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.

Qualifications

• 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.

Experience

• 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.