Data Analyst (Python and Visualization)

Recruitify_HR; Makati; Presencial; PHP 800.000 - 1.600.000; Jornada completa

Descripción de la vacante

Recruitify_HR is seeking a Data Analytics Engineer in Makati to gather, analyze, and translate business and technical data requirements into scalable data solutions. You will design ETL/ELT pipelines, optimize SQL, and build dashboards using BI tools to empower stakeholders with actionable insights.

The role emphasizes data quality, modeling, and integration, with collaboration across teams in Agile ceremonies and ongoing process improvements.

Formación

• Bachelor's degree or higher in a related field such as CS/IT/Data Science.

Responsabilidades

• Gather, analyze, and interpret business and technical data requirements.
• Design, develop, and maintain ETL/ELT data pipelines.
• Create and optimize SQL queries, stored procedures, and database objects.
• Develop dashboards and reports using BI tools.
• Validate, clean, and maintain data quality.
• Analyze large datasets to identify trends and business insights.
• Build and maintain data models and data warehouses.
• Develop APIs or backend services for data integration when needed.
• Automate data processing and reporting workflows.
• Monitor and troubleshoot data pipelines and reporting issues.
• Work with business users to translate requirements into data solutions.
• Document data flows, technical specifications, and reporting processes.
• Participate in Agile ceremonies, code reviews, and continuous improvement.

Conocimientos

SQL

Python

Analytical thinking

Communication

Problem solving

Educación

Bachelor's degree in Computer Science/Information Technology/Data Science/Statistics/Mathematics

Herramientas

Oracle Analytics Cloud

Power BI

Tableau

Oracle Data Integrator

Apache Airflow

Descripción del empleo

Responsibilities

• Gather, analyze, and interpret business and technical data requirements.
• Gather, analyze, and interpret business and technical data requirements.
• Design, develop, and maintain ETL/ELT data pipelines.
• Create and optimize SQL queries, stored procedures, and database objects.
• Develop dashboards and reports using BI tools.
• Validate, clean, and maintain data quality.
• Analyze large datasets to identify trends and business insights.
• Build and maintain data models and data warehouses.
• Develop APIs or backend services for data integration when needed.
• Automate data processing and reporting workflows.
• Monitor and troubleshoot data pipelines and reporting issues.
• Work with business users to translate requirements into data solutions.
• Document data flows, technical specifications, and reporting processes.
• Participate in Agile ceremonies, code reviews, and continuous improvement.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, or a related field.
• At least 3-5 years of experience in Data Analytics, Business Intelligence, or Data Engineering.
• Strong SQL skills (SQL Server, PostgreSQL, MySQL, Oracle, or similar).
• Experience with ETL/ELT tools or frameworks.
• Experience with BI tools such as Oracle Analytics Cloud (preferred), Power BI, or Tableau.
• Experience with orchestration tools such as Oracle Data Integrator or Apache Airflow.
• Proficiency in Python for data analysis and automation.
• Experience integrating data from REST APIs.
• Knowledge of data warehousing and dimensional modeling.
• Strong analytical, problem-solving, and communication skills.