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Analytics Engineer

Argyll Scott Singapore

Singapore

Hybrid

SGD 55,000 - 80,000

Full time

26 days ago

Job summary

A leading company in Singapore is seeking an Analytics Engineer to join their data team. This hybrid role involves analytics and data engineering, focusing on transforming raw data into insights through dashboards and robust data pipelines. Ideal candidates will have 2-5 years of experience, strong SQL skills, and be well-versed in tools like DOMO and dbt. You'll be responsible for ensuring data quality and collaborating with various stakeholders to support business analytics needs.

Qualifications

  • 2–5 years of experience in analytics engineering or similar.
  • Strong SQL skills; familiarity with DOMO and modern data warehouses.
  • Experience with ETL/ELT tools and version control.

Responsibilities

  • Develop data models and dashboards in DOMO.
  • Build and maintain ETL/ELT pipelines for data flows.
  • Collaborate with stakeholders to deliver insights.

Skills

SQL
Data Modeling
ETL/ELT
Data Governance
Problem Solving
Communication
Business Acumen

Tools

DOMO
dbt
BigQuery
Snowflake
Git

Job description

We’re hiring an Analytics Engineer to join our data team, working primarily within a DOMO environment. This hybrid role is 60–70% analytics-focused and 30–40% data engineering, responsible for transforming raw data into trusted datasets and building insightful dashboards that drive decision-making across the business.

Key Responsibilities
  • Develop data models and dashboards in DOMO to support business analytics needs.

  • Build and maintain ETL/ELT pipelines to ensure clean, scalable data flows.

  • Collaborate with stakeholders to understand data requirements and deliver actionable insights.

  • Ensure data quality, consistency, and documentation across systems.

  • Promote best practices in data governance, version control, and model testing.

Requirements
  • 2–5 years of experience in analytics engineering, BI, or data roles.

  • Strong SQL skills and experience with DOMO, dbt, and modern data warehouses (e.g., BigQuery, Snowflake).

  • Familiarity with ETL/ELT tools and version control (e.g., Git).

  • Strong business acumen, communication, and problem-solving skills.

Argyll Scott Asia is acting as an Employment Agency in relation to this vacancy.

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