Senior Data Analytics Manager

2 days ago

Butuan, Caraga, Philippines The VITO Group Careers Full time ₱2,000,000 - ₱2,500,000 per year

Senior Data Analytics Manager

Location: Butuan City, Philippines

Send CV directly to:

About the Role

We are looking for a highly experienced Senior Data Analytics Manager who will lead the development and optimization of the project's Monitoring, Reporting, and Verification (MRV) analytics ecosystem. This role will oversee multidisciplinary analytics work across climate, community, and biodiversity domains—ensuring full alignment with Verra's VCS AUDef, ARR, and CCB Standards.

The successful candidate will spearhead analytics strategy, lead a high-performing team, and collaborate closely with engineers, field staff, and external partners to deliver world-class, standards-compliant outputs for a major nature-based climate project.

Key Responsibilities

  • Lead the design, development, and implementation of analytics solutions supporting the project's MRV system.
  • Manage and mentor a team of senior analysts working across climate, community, and biodiversity datasets.
  • Ensure that all analytical processes and outputs comply with Verra's VCS AUDef, ARR, and CCB requirements.
  • Collaborate with engineers, field teams, and third-party partners to deliver high-quality data products, models, and reporting dashboards.
  • Oversee end-to-end data pipelines—from ingestion to transformation to visualization.
  • Strengthen the project's broader goals in community-led climate resilience, biodiversity conservation, and nature-based livelihood programs.
  • Convert complex MRV requirements into efficient, scalable analytics systems and workflows.
  • Communicate analytical insights to both technical and non-technical stakeholders.

Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Environmental Science, or a related field.
  • 10+ years of experience in data analytics, with at least 3 years in a leadership or managerial role.
  • Experience in climate, forestry, sustainability, or environmental projects is highly preferred.
  • Proven experience managing or developing high-performing analytics teams.
  • Strong technical foundation—comfortable with cloud platforms, data engineering pipelines, and BI/visualization tools.
  • Strategic thinker capable of translating complex environmental MRV guidelines into actionable analytics solutions.
  • Excellent communication skills and strong stakeholder management abilities.
  • Passionate about applying data for climate action, environmental integrity, and community-driven solutions.

Technical Skills Required

Data Platforms:

Google BigQuery, Looker, Snowflake, PostgreSQL

Cloud & Orchestration:

GCP, AWS, Apache Airflow

Programming:

Python, PySpark

Data Visualization:

Tableau, Power BI, Looker Data Studio

Geospatial Tools:

Google Earth Engine, Google BigQuery GIS, QGIS, ArcGIS

Plus Factor:

Familiarity with biodiversity and social monitoring systems such as SmartPatrol and CyberTracker.

How to Apply

Qualified applicants may send their updated CV directly to:

Subject Line: Application – Senior Data Analytics Manager

Job Types: Full-time, Permanent

Ability to commute/relocate:

  • Butuan City: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):

  • Technical Skills Assessment

Please indicate your level of experience for each tool or platform below: Beginner / Intermediate / Advanced

Data Platforms: Google BigQuery, Looker, Snowflake, PostgreSQL

Cloud & Orchestration: GCP, AWS, Apache Airflow

Programming: Python, PySpark

Data Visualization: Tableau, Power BI, Looker Data Studio

Geospatial Tools: Google Earth Engine, Google BigQuery GIS, QGIS, ArcGIS

You may add any additional relevant tools you are proficient in.

  • How soon can you start?

Experience:

  • Data Analysis: 5 years (Preferred)
  • Data analytics lead/ people management: 1 year (Preferred)
  • climate, forestry, sustainability, or environmental projects: 4 years (Preferred)

Work Location: In person

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