14 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 in cloud warehouses including BigQuery, Snowflake, Databricks, and Redshift.
- Develop 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, estimates, and prioritization.
- Contribute reusable templates, data patterns, and dashboard standards to the APAC data capability.
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 is preferred.
- Expert SQL skills in ETL/ELT contexts and some Python experience are favored.
- Strong dimensional modeling, warehouse design, and metric/KPI definition skills for analytics use cases.
- Experience with BigQuery and at least one additional cloud data platform such as Snowflake, Databricks, or Redshift.
- Experience building BI dashboards with Looker Studio, Power BI, or Tableau.
- Ability to collaborate with stakeholders, present cross-functionally, and write clear documentation.
- Experience with analytics platforms, data collection approaches, Google Marketing Platform tooling, transformation and orchestration tools, enterprise BI platforms, or adtech/martech data is advantageous.
- Experience executing technical projects or managing enterprise clients end-to-end is advantageous.
- Current professional certification in Data Engineering or Analytics is advantageous.
- Strong written and verbal communication, proactive working style, resourcefulness, intellectual curiosity, and attention to detail.
Benefits
- Freelance role with approximately 70% client delivery and 30% internal capability building, innovation, growth, and reusable asset development.
- Opportunities for progression within the wider APAC data team and advancement of the analytics and data practice.
- Equal-opportunity and inclusive workplace.
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.