23 days ago
Kuala Lumpur, MalaysiaSenior
Responsibilities
- Lead requirements discovery and translate business questions into data and measurement solutions.
- Design dimensional and star-schema data models for scalable reporting and self-service analytics.
- Design and model data across BigQuery, Snowflake, Databricks, Redshift, and other cloud data warehouses.
- Build BI dashboards and custom reporting experiences using Looker Studio, Power BI, and Tableau.
- Establish data quality, monitoring, documentation, and governance practices.
- Partner with analytics and measurement teams on GA4 and GTM tracking approaches.
- Present insights and recommendations to senior stakeholders and influence roadmaps, estimation, and prioritization.
- Create reusable templates, data patterns, and dashboard standards for the wider APAC data capability.
- Deliver approximately 70% client work and contribute approximately 30% to internal capability building, innovation, growth, and reusable assets.
Requirements
- At least 4 years of experience in data engineering, analytics engineering, or BI engineering.
- At least 2 years of client-facing delivery, consultancy, or agency experience preferred.
- Expert SQL skills, primarily in ETL/ELT contexts, with BigQuery-first experience; Python is favored.
- Strong dimensional modeling, star-schema design, warehouse design, and metric/KPI definition experience.
- Experience with BigQuery and at least one other cloud data platform such as Snowflake, Databricks, or Redshift.
- Experience building BI dashboards with Looker Studio, Power BI, or Tableau.
- Ability to collaborate with and present to cross-functional stakeholders and write clear documentation.
- Strong written and verbal communication skills, with a self-driven, proactive, resourceful, intellectually curious, and detail-oriented approach.
- Hands-on experience with Google Marketing Platform tooling and data collection approaches, including GTM and GA4, is preferred.
- Experience with dbt, Airflow, Dagster, or Prefect is preferred.
- Familiarity with Looker, LookML, custom visualizations, or Datorama is preferred.
- Understanding of the adtech, martech, and data landscape and familiarity with CRM and CDP systems is preferred.
- Experience executing technical projects or managing enterprise clients end-to-end is preferred.
- Current professional certification in Data Engineering or Analytics is preferred.
Categories
Data Engineering
About Monks
Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. It delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI to help the world’s trailblazing companies outmaneuver and outpace their competition.