Analytics Engineer
BlinqDigital Business company
Sydney, AustraliaSenior
HubSpot Ventures
500 Global
Oakley Capital Investments
Touring Capital
Blackbird Ventures
Square Peg Capital
Data & AI
About the role
TL;DR
Analytics Engineer to build data models and insights for decision-making.
- •Blinq is seeking an Analytics Engineer to transform their growing data into trusted, decision-ready insights across Product, Growth, Revenue, and Operations.
- •This high-impact role sits at the intersection of data engineering and analytics.
- •Key Responsibilities Own and evolve Blinq's analytics layer, building clean, reusable data models.
- •Partner with stakeholders to define metrics, build dashboards, and ensure data consistency.
- •Build and maintain scalable ELT workflows using SQL and dbt.
- •Support product analytics and experimentation, including funnel analysis and A/B testing.
- •Improve data quality and trust through testing, documentation, and monitoring.
- •Requirements 3+ years in analytics engineering, data analytics, BI, or data engineering.
- •Advanced SQL and dbt skills with strong data modeling and quality standards.
- •Experience with cloud data warehouses (BigQuery, Snowflake, Redshift) and ELT.
- •Proven ability to define metrics, build dashboards, and translate ambiguous questions into analytical work.
- •Strong product and commercial instincts to connect user behavior, experimentation, and revenue outcomes.
Required skills
SQLdbtBigQuerySnowflakeRedshiftProduct ManagementPython
Domain expertise
productivityai
Tech stack
SQLdbtBigQuerySnowflakeRedshiftPython