Solid experience as an Analytics Engineer, BI Engineer, or in a similar role.
Strong SQL skills: advanced knowledge of schema design, query optimization, and dimensional/relational modeling.
Advanced experience with DBT: professional use in building, testing, and documenting data transformation pipelines.
Experience with Airflow: building, maintaining, and orchestrating complex data pipelines.
Google Cloud Platform (GCP) expertise with BigQuery: deep knowledge of performance tuning, cost management, and advanced platform features.
Familiarity with other GCP data services (e.g., Google Cloud Storage).
Experience with BI/visualization platforms: proficiency developing dashboards in Looker.
Consultative mindset: ability to communicate with non-technical stakeholders, gather business requirements, and translate them into data solutions.
Analytical and critical thinking: ability to go beyond the "what" (data) and address the "why" (root-cause analysis), proposing solutions based on insights.
Strong culture of documentation, tagging, and promotion of data governance.
Knowledge of Python for task automation, building custom pipelines, and/or exploratory analysis.
Familiarity with product metrics (AARRR), marketing metrics (LTV, CAC), or financial metrics.

Benefits

Meal voucher
Food allowance
Work-from-home stipend
Health insurance
Dental insurance
Life insurance
Employee discount partnerships
Partnerships with retailers and educational institutions
Ongoing agile training

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

SQLDBTAirflowGoogle Cloud PlatformBigQueryPythondata transformation pipelinesschema designquery optimizationdimensional modeling

Soft skills

consultative mindsetanalytical thinkingcritical thinkingcommunicationdata governanceproblem-solvingcollaborationstakeholder engagementrequirements gatheringinsight generation