This is a remote position.

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  Make messy data decision-ready. Profile, cleanse, reconcile, and document datasets so insights are reliable—even when the inputs are noisy.

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  Support new, “tip-of-the-spear” apps. Work with the application team to define the right data ingredients, stand up thin-slice pipelines, and validate results.

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  Move fast—carefully. Turn vague asks into testable hypotheses, build the analysis or dashboard, and ship quick iterations with attention to detail.

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  Guard data quality. Set up checks, audits, and alerts; track issues to closure and raise the bar on definitions, lineage, and reproducibility.

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  Automate the repetitive. Use SQL/Python (plus Airflow/Prefect/dbt or similar) to turn one-off analyses into lightweight, maintainable workflows.

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  Tell the story. Present findings with clear business context; highlight signal vs. noise, trade-offs, and recommended next steps.

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  Partner across functions. Collaborate with product, engineering, and client teams to ensure what we build solves real problems.

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  Utilize AI to improve business functions. Apart from automation, work with AI during project delivery and data mining

Requirements

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  Minimum 5+ years of experience in Data Analytics, Data Engineering, or similar roles (Mid–Senior level)

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  Advanced SQL (Non-Negotiable) – must be comfortable writing complex queries

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  Strong Python experience for data analysis, automation, or data pipelines

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  Experience working with Big Data technologies (Hadoop ecosystem)

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  Experience building or supporting data pipelines

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  Familiarity with Airflow or similar workflow orchestration tools

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  Experience working with large or messy datasets (data cleansing, validation, etc.)

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  Ability to automate data processes instead of doing one-off analysis

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  Strong communication skills and ability to explain insights clearly

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  Comfortable working with cross-functional teams

Nice to Have

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  Exposure to AI or AI-related data projects

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  Experience with modern data platforms (Snowflake, BigQuery, Databricks, Athena, etc.)

Benefits

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  Competitive Salary Package:
  Receive a pay package that matches your skills and experience.

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  Vacation and Sick Leave credits:
  Enjoy vacation and sick leave credits to maintain work-life balance.

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  Health Coverage:
  Get medical, dental, and vision insurance for you and your dependents.

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  Government-Mandated Benefits:
  Full coverage of all statutory benefits like SSS, PhilHealth, and Pag-IBIG.

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  Learning Opportunities:
  Access training, certifications, and mentorship to grow your career.

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  Team Engagement:
  Join team-building activities and wellness programs.

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  Modern Tools:
  Use the latest technology to excel in your role.

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  Career Growth:
  Clear paths for promotion and professional development.

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  Inclusive Culture:
  Be part of a diverse, supportive, and collaborative global team.
  Referral Rewards:
  Earn bonuses for bringing great talent to the team.