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Data Analyst | SQL | Python | ETL

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Onsite

Data Analyst | SQL | Python | ETL

TerraBarn Inc

Data Analyst | SQL | Python | ETL

Skills

Google Cloud PlatformSQL QueriesBig DataPythonData VisualizationTesting & QAGitData AnalysisAWSDatabase AdministrationAzure

1 month ago

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Important information


Contract type:

Permanent

Salary:

₱600,000 – ₱720,000 / year

Work mode:

Onsite

Published on:

16 September 2026

What they need


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

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