Head of Data Analytics

5 hours ago

Ortigas Metro Manila, Philippines National Data and Surveying Services Inc Full time ₱1,200,000 - ₱2,400,000 per year

Work Schedule: 9 PM - 6 AM PH Time

Work Location: 19th Floor, Octagon Centre, San Miguel Avenue, Ortigas Center, Pasig City

Job Description

Build and lead NDS's PH analytics function to transform traffic sensors, video/vision counts, GPS/GIS, and survey datasets into decision-ready insights for public agencies and engineering partners. You'll own the analytics roadmap, reliability (tests/SLAs), and delivery to U.S. stakeholders.

Key Responsibilities

Strategy & Leadership

  • Own the analytics vision, OKRs, and roadmap; hire and mentor a PH team (Analysts, Analytics Engineer).
  • Establish data governance: metric dictionary, lineage, access policies, and quality SLAs (freshness, completeness, accuracy).

Data Platform & Quality

  • Design and maintain the warehouse + dbt models with automated tests; implement orchestration (Airflow/Dagster/Prefect).
  • Build robust ingest for traffic counters/video, GPS/GIS, and client files; manage schema evolution and cost/performance.
  • Implement monitoring for model tests, anomalies, and data drift; publish runbooks for incident response.

Analytics & Decision Support

  • Ship executive & client dashboards (volume, speed, O-D, before/after studies) and standardize KPI definitions.
  • Lead time-series/forecasting and experiment readouts; deliver QC analytics for field-collected data.
  • Partner with U.S. PMs/Ops/Engineering for scope, SLAs, and delivery windows aligned to the night shift.

Security & Compliance

  • Enforce privacy for any video/PII and manage access controls, audit trails, and compliance.
Skills & Qualifications
  • 8+ years in analytics/data science/analytics engineering; 3+ years leading a team.
  • Expert SQL (window functions, tuning) and strong Python (pandas/NumPy).
  • Hands-on with dbt and a cloud DWH (BigQuery/Snowflake/Redshift).
  • Time-series & anomaly detection; strong BI (Looker/Power BI/Metabase).
  • Geo/GIS exposure (PostGIS, BigQuery GIS, QGIS) and experience with sensor/video or large telemetry datasets.
Nice-to-Haves
  • Computer-vision pipeline familiarity (video counting/QA), Amplitude/Mixpanel, Spark/Databricks, or ML forecasting (Prophet/ARIMA).
  • Transportation/traffic domain experience; client-facing delivery with public agencies.

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