Senior Data Analyst | SQL, ETL, Python | AWS/GCP (Cloud Data Platforms) | Onsite

With offices in the Philippines and the U.S., the company offers strong career growth, technical training, and a people-first culture

We are looking for a Senior Data Analyst to manage and optimize data pipelines, analyze large datasets, and support cloud-based data platforms. This role involves working closely with data and engineering teams to ensure data accuracy, performance, and reliability.

Key Responsibilities:

• Analyze and interpret large datasets to generate actionable insights
• Manage and optimize ETL/ELT pipelines and workflows
• Monitor data platforms (e.g., Spark, Airflow, Flink, Jupyter) for performance and reliability
• Support incident analysis and data issue resolution
• Develop reports, dashboards, and data quality checks
• Collaborate with teams on AWS/GCP data environments
• Ensure data accuracy, governance, and cost efficiency

Qualifications:

• Bachelor’s degree in IT, Computer Science, Data Analytics, or related field
• At least 3+ years experience in Data Analytics/Data Engineering
• Strong SQL and data pipeline experience (ETL/ELT)
• Experience with at least one: Spark, Airflow, Flink, or Jupyter
• Proficient in Python, Java, or Scala
• Experience in AWS or GCP environments
• Strong analytical and problem-solving skills

Nice to Have:

• Kubernetes or Docker experience
• Knowledge of data visualization tools

Familiarity with CI/CD, Terraform, or monitoring tools (Grafana, Datadog)

Benefits:

• Mandatory Government Benefits
• 13th Month Pay
• Performance Bonus (based on company revenue & performance)
• 10 Days Sick Leave
• 21 Days PTO
• 5 Days Bereavement Leave
• HMO Coverage (Intellicare) – Day 1 (Min. ₱250K, with dependent coverage based on level)
• Milestone Service Rewards (Cash) or Additional PTO Credits