Analytics Engineer - Build Trusted Data Foundations

Hidden Jobs; United States; Hybrid; USD 59,000 - 86,000; Full time

Benefits offered by this job

Profit-sharing

Employee savings plan

Health insurance

Disability insurance

Family package

Mental health support

25 days paid time off

Meal vouchers

Sustainable mobility package

Learning & development platform

Maternity/Paternity leave

Job summary

Hidden Jobs is seeking an Analytics Engineer to join a central Data team supporting Finance, Product, Marketing, Risk and Operations. The role focuses on transforming raw data into trusted datasets and rebuilding data foundations for self-service and conversational analytics across business domains.

You will build data models with dbt and BigQuery, ensure data quality with tests and governance, and mentor analysts on metrics and Looker usage.

Qualifications

• At least 2 years of experience in Analytics Engineering, Data Engineering, Data Analytics, or a similar role.
• Practical experience with dbt, including models, tests, and documentation.
• Solid understanding of data modeling concepts such as facts, dimensions, keys, and relationships.
• Experience with Git and pull-request-based development, plus fluency in English.

Responsibilities

• Build and maintain reusable data models, macros, and semantic layers using dbt and BigQuery.
• Develop staging, intermediate, and mart models following clear data modeling principles, with quality tests, freshness checks, and documentation.
• Improve lineage, ownership, and discoverability of key tables, and retire duplicated or deprecated datasets.
• Mentor analysts and lead enablement around dbt, Looker, governance, and metric definitions.
• Partner on the data platform roadmap and contribute to code reviews and analytics engineering standards.

Job description

Hidden Jobs is seeking an Analytics Engineer to join a central Data team supporting Finance, Product, Marketing, Risk and Operations. The role focuses on transforming raw data into trusted datasets and rebuilding data foundations for self-service and conversational analytics across business domains.

You will build data models with dbt and BigQuery, ensure data quality with tests and governance, and mentor analysts on metrics and Looker usage.