Data Analyst | SQL | Python | ETL

TerraBarn Inc; Muntinlupa; Hybrid; PHP 600,000 - 900,000; Full time

Benefits offered by this job

Competitive compensation

Career growth opportunities

Professional development programmes

Flexible working arrangements

Health and wellness benefits

Job summary

TerraBarn Inc. is seeking a data engineer in Metro Manila to design, build, and maintain robust data pipelines and analytics solutions. You will write complex SQL queries, develop ETL processes, and create Python scripts for data manipulation and automation.

The role focuses on data quality, modeling, and reporting, enabling stakeholders with clear dashboards and insights. A hybrid work setup is available, with opportunities for growth and professional development.

Qualifications

• Proven proficiency in SQL with ability to write complex queries, design schemas, and optimise performance.
• Strong programming experience in Python for data analysis, manipulation, and automation.
• Experience designing and implementing ETL processes and data pipelines.
• Solid understanding of relational and non-relational databases.
• Experience with data visualisation tools and BI platforms.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills to explain technical concepts to non-technical stakeholders.
• Experience with version control systems and collaborative development practices.
• Knowledge of data governance, data quality standards, and best practices in database administration.
• Bachelor's degree in related field or equivalent professional experience.

Responsibilities

• Develop and maintain SQL queries and database solutions to extract, transform, and load data from multiple sources
• Design and implement ETL pipelines to automate data collection, cleaning, and integration processes
• Create and optimise Python scripts for data manipulation, analysis, and reporting
• Perform data quality assurance and validation to ensure accuracy and consistency across datasets
• Build and maintain data models that support business requirements and analytical needs
• Generate reports, dashboards, and visualisations to communicate data findings to stakeholders
• Collaborate with business teams to understand data requirements and translate them into technical solutions
• Monitor and optimise database performance and data pipeline efficiency
• Troubleshoot data-related issues and implement solutions to resolve discrepancies
• Document data processes, methodologies, and technical specifications for future reference

Skills

SQL proficiency

Python programming

ETL design

Data visualization

Performance tuning

Version control

Communication

Education

Bachelor's degree in CS/IT/Math/Stats

Tools

SQL Server / PostgreSQL

Airflow

Power BI / Tableau

Cloud platforms (AWS/GCP/Azure)

Job description

Key responsibilities

• Develop and maintain SQL queries and database solutions to extract, transform, and load data from multiple sources
• Design and implement ETL pipelines to automate data collection, cleaning, and integration processes
• Create and optimise Python scripts for data manipulation, analysis, and reporting
• Perform data quality assurance and validation to ensure accuracy and consistency across datasets
• Build and maintain data models that support business requirements and analytical needs
• Generate reports, dashboards, and visualisations to communicate data findings to stakeholders
• Collaborate with business teams to understand data requirements and translate them into technical solutions
• Monitor and optimise database performance and data pipeline efficiency
• Troubleshoot data-related issues and implement solutions to resolve discrepancies
• Document data processes, methodologies, and technical specifications for future reference

What we're looking for

• Proven proficiency in SQL with the ability to write complex queries, design schemas, and optimise database performance
• Strong programming experience in Python for data analysis, manipulation, and automation
• Demonstrated experience designing and implementing ETL processes and data pipelines
• Solid understanding of relational and non-relational database structures
• Experience with data visualisation tools and business intelligence platforms
• Strong analytical and problem-solving skills with attention to detail
• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders
• Experience with version control systems and collaborative development practices
• Knowledge of data governance, data quality standards, and best practices in database administration
• Bachelor's degree in Computer Science, Information Technology, Mathematics, Statistics, or a related field, or equivalent professional experience
• Preferred: Experience with cloud-based data platforms (AWS, Azure, or Google Cloud), big data technologies, or additional programming languages

What we offer

• Competitive salary package commensurate with experience and qualifications
• Full-time permanent position with job security and career growth opportunities
• Professional development and training programmes to enhance technical skills
• Collaborative and innovative work environment that values data-driven decision-making
• Access to modern tools, technologies, and infrastructure for database development and analysis
• Flexible working arrangements to support work-life balance
• Comprehensive benefits package including health and wellness initiatives
• Mentorship opportunities from experienced professionals in the data and technology space
• Clear career progression pathways within the technology and data analytics divisions