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Digital Marketing (Junior-Mid Level)

5-7 Years
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Job Description

  • Make messy data decision-ready. Profile, cleanse, reconcile, and document datasets so insights are reliableeven when the inputs are noisy.
  • 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.
  • Move fastcarefully. Turn vague asks into testable hypotheses, build the analysis or dashboard, and ship quick iterations with attention to detail.
  • Guard data quality. Set up checks, audits, and alerts; track issues to closure and raise the bar on definitions, lineage, and reproducibility.
  • Automate the repetitive. Use SQL/Python (plus Airflow/Prefect/dbt or similar) to turn one-off analyses into lightweight, maintainable workflows.
  • Tell the story. Present findings with clear business context; highlight signal vs. noise, trade-offs, and recommended next steps.
  • Partner across functions. Collaborate with product, engineering, and client teams to ensure what we build solves real problems.
  • Utilize AI to improve business functions. Apart from automation, work with AI during project delivery and data mining

Requirements:

  • Minimum 5+ years of experience in Data Analytics, Data Engineering, or similar roles (MidSenior level)
  • Advanced SQL (Non-Negotiable) must be comfortable writing complex queries
  • Strong Python experience for data analysis, automation, or data pipelines
  • Experience working with Big Data technologies (Hadoop ecosystem)
  • Experience building or supporting data pipelines
  • Familiarity with Airflow or similar workflow orchestration tools
  • Experience working with large or messy datasets (data cleansing, validation, etc.)
  • Ability to automate data processes instead of doing one-off analysis
  • Strong communication skills and ability to explain insights clearly
  • Comfortable working with cross-functional teams

Nice to Have

  • Exposure to AI or AI-related data projects
  • Experience with modern data platforms (Snowflake, BigQuery, Databricks, Athena, etc.)

Benefits:

  • Competitive Salary Package: Receive a pay package that matches your skills and experience.
  • Vacation and Sick Leave credits: Enjoy vacation and sick leave credits to maintain work-life balance.
  • Health Coverage: Get medical, dental, and vision insurance for you and your dependents.
  • Government-Mandated Benefits: Full coverage of all statutory benefits like SSS, PhilHealth, and Pag-IBIG.
  • Learning Opportunities: Access training, certifications, and mentorship to grow your career.
  • Team Engagement: Join team-building activities and wellness programs.
  • Modern Tools: Use the latest technology to excel in your role.
  • Career Growth: Clear paths for promotion and professional development.
  • Inclusive Culture: Be part of a diverse, supportive, and collaborative global team

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About Company

Job ID: 144250717