14 days ago
India (city not specified)Senior
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, and Redshift for marketing, web/app, and e-commerce sources.
- 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, estimation, and prioritization.
- Contribute reusable templates, data patterns, and dashboard standards to the APAC data capability.
- Split time approximately 70% across client delivery and 30% across internal capability building, reusable assets, innovation, and growth.
Requirements
- 4+ years of experience in data engineering, analytics engineering, or BI engineering.
- 2+ years of client-facing delivery, consultancy, or agency experience preferred.
- Expert SQL skills in ETL/ELT contexts, with BigQuery-first experience; Python is favored.
- Strong dimensional modeling, star-schema, warehouse design, and metric/KPI definition experience.
- 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.
- Experience collaborating with stakeholders, presenting cross-functionally, and writing clear documentation.
- Preferred experience with Google Marketing Platform tooling, including GTM and GA4.
- Preferred experience with dbt, Airflow, Dagster, or Prefect for transformation and orchestration.
- Familiarity with Looker, LookML, custom visualizations, Datorama, adtech/martech/data landscapes, CRM, or CDPs is preferred.
- Experience executing technical projects or managing enterprise clients end-to-end is preferred.
- Current professional certifications in Data Engineering or Analytics are preferred.
- Strong written and verbal communication skills and a self-driven, proactive, resourceful, intellectually curious, and detail-oriented approach.
Benefits
- Freelance engagement.
- Opportunities for progression within the wider APAC data team and participation in innovation and product development.
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.